AWS Certified Machine Learning Engineer - Associate

Review the official skills for Unscored content 4 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for AWS Services for the Exam and practice applying them to scenarios.

Review the official skills for The AWS Certified Machine Learning Engineer - Associate exam covers specific AWS services that and practice applying them to scenarios.

are relevant to machine learning engineers. Understanding which services are in scope can help you:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

focus your preparation efforts.:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for For detailed information about the AWS services covered in the exam, see the following section: and practice applying them to scenarios.

Review the official skills for In-Scope AWS Services and practice applying them to scenarios.

Review the official skills for Content Domain 1: Data Preparation for Machine Learning (ML) and practice applying them to scenarios.

Review the official skills for Task 1.1: Ingest and store data and practice applying them to scenarios.

Review the official skills for Task 1.2: Transform data and perform feature engineering and practice applying them to scenarios.

Review the official skills for Task 1.3: Ensure data integrity and prepare data for modeling and practice applying them to scenarios.

Review the official skills for Task 1.1: Ingest and store data and practice applying them to scenarios.

Review the official skills for Knowledge of: and practice applying them to scenarios.

Review the official skills for Data formats and ingestion mechanisms (for example, validated and non-validated formats, and practice applying them to scenarios.

Review the official skills for Apache Parquet, JSON, CSV, Apache ORC, Apache Avro, RecordIO) and practice applying them to scenarios.

Review the official skills for How to use the core AWS data sources (for example, Amazon S3, Amazon EFS, Amazon FSx for and practice applying them to scenarios.

Review the official skills for NetApp ONTAP) and practice applying them to scenarios.

Review the official skills for How to use AWS streaming data sources to ingest data (for example, Amazon Kinesis, Apache and practice applying them to scenarios.

Review the official skills for Flink, Apache Kafka) and practice applying them to scenarios.

Review the official skills for AWS storage options, including use cases and tradeoffs and practice applying them to scenarios.

Review the official skills for Skills in: and practice applying them to scenarios.

Review the official skills for Extracting data from storage (for example, Amazon S3, Amazon EBS, Amazon EFS, Amazon RDS, and practice applying them to scenarios.

Review the official skills for Amazon DynamoDB) by using relevant AWS service options (for example, Amazon S3 Transfer and practice applying them to scenarios.

Review the official skills for Acceleration, Amazon EBS Provisioned IOPS) and practice applying them to scenarios.

Review the official skills for AWS Services for the Exam 5 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Choosing appropriate data formats (for example, Parquet, JSON, CSV, ORC) based on data access and practice applying them to scenarios.

patterns:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Ingesting data into Amazon SageMaker Data Wrangler and SageMaker Feature Store and practice applying them to scenarios.

Review the official skills for Merging data from multiple sources (for example, by using programming techniques, AWS Glue, and practice applying them to scenarios.

Review the official skills for Apache Spark) and practice applying them to scenarios.

Review the official skills for Troubleshooting and debugging data ingestion and storage issues that involve capacity and and practice applying them to scenarios.

scalability:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Making initial storage decisions based on cost, performance, and data structure and practice applying them to scenarios.

Review the official skills for Task 1.2: Transform data and perform feature engineering and practice applying them to scenarios.

Review the official skills for Knowledge of: and practice applying them to scenarios.

Review the official skills for Data cleaning and transformation techniques (for example, detecting and treating outliers, and practice applying them to scenarios.

imputing missing data, combining, deduplication):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Feature engineering techniques (for example, data scaling and standardization, feature splitting, and practice applying them to scenarios.

binning, log transformation, normalization):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Encoding techniques (for example, one-hot encoding, binary encoding, label encoding, and practice applying them to scenarios.

tokenization):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Tools to explore, visualize, or transform data and features (for example, SageMaker Data and practice applying them to scenarios.

Review the official skills for Wrangler, AWS Glue, AWS Glue DataBrew) and practice applying them to scenarios.

Review the official skills for Services that transform streaming data (for example, AWS Lambda, Spark) and practice applying them to scenarios.

Review the official skills for Data annotation and labeling services that create high-quality labeled datasets and practice applying them to scenarios.

Review the official skills for Skills in: and practice applying them to scenarios.

Review the official skills for Transforming data by using AWS tools (for example, AWS Glue, DataBrew, Spark running on and practice applying them to scenarios.

Review the official skills for Amazon EMR, SageMaker Data Wrangler) and practice applying them to scenarios.

Review the official skills for Creating and managing features by using AWS tools (for example, SageMaker Feature Store) and practice applying them to scenarios.

Review the official skills for Validating and labeling data by using AWS services (for example, SageMaker Ground Truth, and practice applying them to scenarios.

Review the official skills for Amazon Mechanical Turk) and practice applying them to scenarios.

Review the official skills for Task 1.2: Transform data and perform feature engineering 6 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Task 1.3: Ensure data integrity and prepare data for modeling and practice applying them to scenarios.

Review the official skills for Knowledge of: and practice applying them to scenarios.

Review the official skills for Pre-training bias metrics for numeric, text, and image data (for example, class imbalance [CI], and practice applying them to scenarios.

difference in proportions of labels [DPL]):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Strategies to address CI in numeric, text, and image datasets (for example, synthetic data and practice applying them to scenarios.

generation, resampling):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Techniques to encrypt data and practice applying them to scenarios.

Review the official skills for Data classification, anonymization, and masking and practice applying them to scenarios.

Review the official skills for Implications of compliance requirements (for example, personally identifiable information [PII], and practice applying them to scenarios.

protected health information [PHI], data residency):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Skills in: and practice applying them to scenarios.

Review the official skills for Validating data quality (for example, by using DataBrew and AWS Glue Data Quality) and practice applying them to scenarios.

Review the official skills for Identifying and mitigating sources of bias in data (for example, selection bias, measurement bias) and practice applying them to scenarios.

by using AWS tools (for example, SageMaker Clarify):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Preparing data to reduce prediction bias (for example, by using dataset splitting, shuffling, and and practice applying them to scenarios.

augmentation):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Configuring data to load into the model training resource (for example, Amazon EFS, Amazon and practice applying them to scenarios.

Review the official skills for Content Domain 2: ML Model Development and practice applying them to scenarios.

Review the official skills for Task 2.1: Choose a modeling approach and practice applying them to scenarios.

Review the official skills for Task 2.2: Train and refine models and practice applying them to scenarios.

Review the official skills for Task 2.3: Analyze model performance and practice applying them to scenarios.

Review the official skills for Task 2.1: Choose a modeling approach and practice applying them to scenarios.

Review the official skills for Knowledge of: and practice applying them to scenarios.

Review the official skills for Capabilities and appropriate uses of ML algorithms to solve business problems and practice applying them to scenarios.

Review the official skills for Task 1.3: Ensure data integrity and prepare data for modeling 7 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for How to use AWS artificial intelligence (AI) services (for example, Amazon Translate, Amazon and practice applying them to scenarios.

Review the official skills for Transcribe, Amazon Rekognition, Amazon Bedrock) to solve specific business problems and practice applying them to scenarios.

Review the official skills for How to consider interpretability during model selection or algorithm selection and practice applying them to scenarios.

Review the official skills for Amazon SageMaker AI built-in algorithms and when to apply them and practice applying them to scenarios.

Review the official skills for Skills in: and practice applying them to scenarios.

Review the official skills for Assessing available data and problem complexity to determine the feasibility of an ML solution and practice applying them to scenarios.

Review the official skills for Comparing and selecting appropriate ML models or algorithms to solve specific problems and practice applying them to scenarios.

Review the official skills for Choosing built-in algorithms, foundation models, and solution templates (for example, in and practice applying them to scenarios.

Review the official skills for SageMaker JumpStart and Amazon Bedrock) and practice applying them to scenarios.

Review the official skills for Selecting models or algorithms based on costs and practice applying them to scenarios.

Review the official skills for Selecting AI services to solve common business needs and practice applying them to scenarios.

Review the official skills for Task 2.2: Train and refine models and practice applying them to scenarios.

Review the official skills for Knowledge of: and practice applying them to scenarios.

Review the official skills for Elements in the training process (for example, epoch, steps, batch size) and practice applying them to scenarios.

Review the official skills for Methods to reduce model training time (for example, early stopping, distributed training) and practice applying them to scenarios.

Review the official skills for Factors that influence model size and practice applying them to scenarios.

Review the official skills for Methods to improve model performance and practice applying them to scenarios.

Review the official skills for Benefits of regularization techniques (for example, dropout, weight decay, L1 and L2) and practice applying them to scenarios.

Review the official skills for Hyperparameter tuning techniques (for example, random search, Bayesian optimization) and practice applying them to scenarios.

Review the official skills for Model hyperparameters and their effects on model performance (for example, number of trees and practice applying them to scenarios.

in a tree-based model, number of layers in a neural network):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Methods to integrate models that were built outside SageMaker AI into SageMaker AI and practice applying them to scenarios.

Review the official skills for Skills in: and practice applying them to scenarios.

Review the official skills for Using SageMaker AI built-in algorithms and common ML libraries to develop ML models and practice applying them to scenarios.

Review the official skills for Using SageMaker AI script mode with SageMaker AI supported frameworks to train models (for and practice applying them to scenarios.

example, TensorFlow, PyTorch):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Task 2.2: Train and refine models 8 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Using custom datasets to fine-tune pre-trained models (for example, Amazon Bedrock, and practice applying them to scenarios.

Review the official skills for SageMaker JumpStart) and practice applying them to scenarios.

Review the official skills for Performing hyperparameter tuning (for example, by using SageMaker AI automatic model tuning and practice applying them to scenarios.

Review the official skills for Integrating automated hyperparameter optimization capabilities and practice applying them to scenarios.

Review the official skills for Preventing model overfitting, underfitting, and catastrophic forgetting (for example, by using and practice applying them to scenarios.

regularization techniques, feature selection):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Combining multiple training models to improve performance (for example, ensembling, stacking, and practice applying them to scenarios.

boosting):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Reducing model size (for example, by altering data types, pruning, updating feature selection, and practice applying them to scenarios.

compression):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Managing model versions for repeatability and audits (for example, by using the SageMaker and practice applying them to scenarios.

Review the official skills for Model Registry) and practice applying them to scenarios.

Review the official skills for Task 2.3: Analyze model performance and practice applying them to scenarios.

Review the official skills for Knowledge of: and practice applying them to scenarios.

Review the official skills for Model evaluation techniques and metrics (for example, confusion matrix, heat maps, F1 score, and practice applying them to scenarios.

accuracy, precision, recall, Root Mean Square Error [RMSE], receiver operating characteristic:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

[ROC], Area Under the ROC Curve [AUC]):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Methods to create performance baselines and practice applying them to scenarios.

Review the official skills for Methods to identify model overfitting and underfitting and practice applying them to scenarios.

Review the official skills for Metrics available in SageMaker Clarify to gain insights into ML training data and models and practice applying them to scenarios.

Review the official skills for Convergence issues and practice applying them to scenarios.

Review the official skills for Skills in: and practice applying them to scenarios.

Review the official skills for Selecting and interpreting evaluation metrics and detecting model bias and practice applying them to scenarios.

Review the official skills for Assessing tradeoffs between model performance, training time, and cost and practice applying them to scenarios.

Review the official skills for Performing reproducible experiments by using AWS services and practice applying them to scenarios.

Review the official skills for Comparing the performance of a shadow variant to the performance of a production variant and practice applying them to scenarios.

Review the official skills for Using SageMaker Clarify to interpret model outputs and practice applying them to scenarios.

Review the official skills for Using SageMaker Model Debugger to debug model convergence and practice applying them to scenarios.

Review the official skills for Task 2.3: Analyze model performance 9 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Content Domain 3: Deployment and Orchestration of ML and practice applying them to scenarios.

Workflows:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Task 3.1: Select deployment infrastructure based on existing architecture and requirements and practice applying them to scenarios.

Review the official skills for Task 3.2: Create and script infrastructure based on existing architecture and requirements and practice applying them to scenarios.

Review the official skills for Task 3.3: Use automated orchestration tools to set up continuous integration and continuous and practice applying them to scenarios.

delivery (CI/CD) pipelines:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Task 3.1: Select deployment infrastructure based on existing and practice applying them to scenarios.

architecture and requirements:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Knowledge of: and practice applying them to scenarios.

Review the official skills for Deployment best practices (for example, versioning, rollback strategies) and practice applying them to scenarios.

Review the official skills for AWS deployment services (for example, Amazon SageMaker AI) and practice applying them to scenarios.

Review the official skills for Methods to serve ML models in real time and in batches and practice applying them to scenarios.

Review the official skills for How to provision compute resources in production environments and test environments (for and practice applying them to scenarios.

example, CPU, GPU):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Model and endpoint requirements for deployment endpoints (for example, serverless endpoints, and practice applying them to scenarios.

real-time endpoints, asynchronous endpoints, batch inference):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for How to choose appropriate containers (for example, provided or customized) and practice applying them to scenarios.

Review the official skills for Methods to optimize models on edge devices (for example, SageMaker Neo) and practice applying them to scenarios.

Review the official skills for Skills in: and practice applying them to scenarios.

Review the official skills for Evaluating performance, cost, and latency tradeoffs and practice applying them to scenarios.

Review the official skills for Choosing the appropriate compute environment for training and inference based on and practice applying them to scenarios.

requirements (for example, GPU or CPU specifications, processor family, networking bandwidth):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Selecting the correct deployment orchestrator (for example, Apache Airflow, SageMaker and practice applying them to scenarios.

Review the official skills for Pipelines) and practice applying them to scenarios.

Review the official skills for Selecting multi-model or multi-container deployments and practice applying them to scenarios.

Review the official skills for Content Domain 3: Deployment and Orchestration of ML Workflows 10 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Selecting the correct deployment target (for example, SageMaker AI endpoints, Kubernetes, and practice applying them to scenarios.

Review the official skills for Amazon ECS, Amazon Elastic Kubernetes Service [Amazon EKS], AWS Lambda) and practice applying them to scenarios.

Review the official skills for Choosing model deployment strategies (for example, real time, batch) and practice applying them to scenarios.

Review the official skills for Task 3.2: Create and script infrastructure based on existing architecture and practice applying them to scenarios.

and requirements:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Knowledge of: and practice applying them to scenarios.

Review the official skills for Difference between on-demand and provisioned resources and practice applying them to scenarios.

Review the official skills for How to compare scaling policies and practice applying them to scenarios.

Review the official skills for Tradeoffs and use cases of infrastructure as code (IaC) options (for example, AWS and practice applying them to scenarios.

Review the official skills for CloudFormation, AWS CDK) and practice applying them to scenarios.

Review the official skills for Containerization concepts and AWS container services and practice applying them to scenarios.

Review the official skills for How to use SageMaker AI endpoint auto scaling policies to meet scalability requirements (for and practice applying them to scenarios.

example, based on demand, time):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Skills in: and practice applying them to scenarios.

Review the official skills for Applying best practices to enable maintainable, scalable, and cost-effective ML solutions (for and practice applying them to scenarios.

example, automatic scaling on SageMaker AI endpoints, dynamically adding Spot Instances, by:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

using Amazon EC2 instances, by using Lambda behind the endpoints):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Automating the provisioning of compute resources, including communication between stacks and practice applying them to scenarios.

(for example, by using CloudFormation, AWS CDK):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Building and maintaining containers (for example, Amazon ECR, Amazon EKS, Amazon ECS, by and practice applying them to scenarios.

using bring your own container [BYOC] with SageMaker AI):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Configuring SageMaker AI endpoints within the VPC network and practice applying them to scenarios.

Review the official skills for Deploying and hosting models by using the SageMaker AI SDK and practice applying them to scenarios.

Review the official skills for Choosing specific metrics for auto scaling (for example, model latency, CPU utilization, and practice applying them to scenarios.

invocations per instance):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Task 3.2: Create and script infrastructure based on existing architecture and requirements 11 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Task 3.3: Use automated orchestration tools to set up continuous and practice applying them to scenarios.

integration and continuous delivery (CI/CD) pipelines:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Knowledge of: and practice applying them to scenarios.

Review the official skills for Capabilities and quotas for AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy and practice applying them to scenarios.

Review the official skills for Automation and integration of data ingestion with orchestration services and practice applying them to scenarios.

Review the official skills for Version control systems and basic usage (for example, Git) and practice applying them to scenarios.

Review the official skills for CI/CD principles and how they fit into ML workflows and practice applying them to scenarios.

Review the official skills for Deployment strategies and rollback actions (for example, blue/green, canary, linear) and practice applying them to scenarios.

Review the official skills for How code repositories and pipelines work together and practice applying them to scenarios.

Review the official skills for Skills in: and practice applying them to scenarios.

Review the official skills for Configuring and troubleshooting CodeBuild, CodeDeploy, and CodePipeline, including stages and practice applying them to scenarios.

Review the official skills for Applying continuous deployment flow structures to invoke pipelines (for example, Gitflow, and practice applying them to scenarios.

Review the official skills for GitHub Flow) and practice applying them to scenarios.

Review the official skills for Using AWS services to automate orchestration (for example, to deploy ML models, automate and practice applying them to scenarios.

model building):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Configuring training and inference jobs (for example, by using Amazon EventBridge rules, and practice applying them to scenarios.

Review the official skills for SageMaker Pipelines, CodePipeline) and practice applying them to scenarios.

Review the official skills for Creating automated tests in CI/CD pipelines (for example, integration tests, unit tests, end-to- and practice applying them to scenarios.

end tests):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Building and integrating mechanisms to retrain models and practice applying them to scenarios.

Review the official skills for Content Domain 4: ML Solution Monitoring, Maintenance, and and practice applying them to scenarios.

Security:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Task 4.1: Monitor model inference and practice applying them to scenarios.

Review the official skills for Task 4.2: Monitor and optimize infrastructure and costs and practice applying them to scenarios.

Review the official skills for Task 4.3: Secure AWS resources and practice applying them to scenarios.

Review the official skills for Task 3.3: Use automated orchestration tools to set up continuous integration and continuous delivery and practice applying them to scenarios.

(CI/CD) pipelines:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Task 4.1: Monitor model inference and practice applying them to scenarios.

Review the official skills for Knowledge of: and practice applying them to scenarios.

Review the official skills for Drift in ML models and practice applying them to scenarios.

Review the official skills for Techniques to monitor data quality and model performance and practice applying them to scenarios.

Review the official skills for Design principles for ML lenses relevant to monitoring and practice applying them to scenarios.

Review the official skills for Skills in: and practice applying them to scenarios.

Review the official skills for Monitoring models in production (for example, by using Amazon SageMaker Model Monitor) and practice applying them to scenarios.

Review the official skills for Monitoring workflows to detect anomalies or errors in data processing or model inference and practice applying them to scenarios.

Review the official skills for Detecting changes in the distribution of data that can affect model performance (for example, by and practice applying them to scenarios.

using SageMaker Clarify):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Monitoring model performance in production by using A/B testing and practice applying them to scenarios.

Review the official skills for Task 4.2: Monitor and optimize infrastructure and costs and practice applying them to scenarios.

Review the official skills for Knowledge of: and practice applying them to scenarios.

Review the official skills for Key performance metrics for ML infrastructure (for example, utilization, throughput, availability, and practice applying them to scenarios.

scalability, fault tolerance):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Monitoring and observability tools to troubleshoot latency and performance issues (for example, and practice applying them to scenarios.

Review the official skills for AWS X-Ray, Amazon CloudWatch Lambda Insights, Amazon CloudWatch Logs Insights) and practice applying them to scenarios.

Review the official skills for How to use AWS CloudTrail to log, monitor, and invoke re-training activities and practice applying them to scenarios.

Review the official skills for Differences between instance types and how they affect performance (for example, memory and practice applying them to scenarios.

optimized, compute optimized, general purpose, inference optimized):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Capabilities of cost analysis tools (for example, AWS Cost Explorer, AWS Billing and Cost and practice applying them to scenarios.

Review the official skills for Management, AWS Trusted Advisor) and practice applying them to scenarios.

Review the official skills for Cost tracking and allocation techniques (for example, resource tagging) and practice applying them to scenarios.

Review the official skills for Skills in: and practice applying them to scenarios.

Review the official skills for Configuring and using tools to troubleshoot and analyze resources (for example, CloudWatch and practice applying them to scenarios.

Review the official skills for Logs, CloudWatch alarms) and practice applying them to scenarios.

Review the official skills for Task 4.1: Monitor model inference 13 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Creating CloudTrail trails and practice applying them to scenarios.

Review the official skills for Setting up dashboards to monitor performance metrics (for example, by using Amazon Quick and practice applying them to scenarios.

Review the official skills for Sight, CloudWatch dashboards) and practice applying them to scenarios.

Review the official skills for Monitoring infrastructure (for example, by using Amazon EventBridge events) and practice applying them to scenarios.

Review the official skills for Rightsizing instance families and sizes (for example, by using SageMaker AI Inference and practice applying them to scenarios.

Review the official skills for Recommender and AWS Compute Optimizer) and practice applying them to scenarios.

Review the official skills for Monitoring and resolving latency and scaling issues and practice applying them to scenarios.

Review the official skills for Preparing infrastructure for cost monitoring (for example, by applying a tagging strategy) and practice applying them to scenarios.

Review the official skills for Troubleshooting capacity concerns that involve cost and performance (for example, provisioned and practice applying them to scenarios.

concurrency, service quotas, auto scaling):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Optimizing costs and setting cost quotas by using appropriate cost management tools (for and practice applying them to scenarios.

example, AWS Cost Explorer, AWS Trusted Advisor, AWS Budgets):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Optimizing infrastructure costs by selecting purchasing options (for example, Spot Instances, On- and practice applying them to scenarios.

Review the official skills for Demand Instances, Reserved Instances, SageMaker AI Savings Plans) and practice applying them to scenarios.

Review the official skills for Task 4.3: Secure AWS resources and practice applying them to scenarios.

Review the official skills for Knowledge of: and practice applying them to scenarios.

Review the official skills for IAM roles, policies, and groups that control access to AWS services (for example, IAM, bucket and practice applying them to scenarios.

policies, SageMaker Role Manager):

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for SageMaker AI security and compliance features and practice applying them to scenarios.

Review the official skills for Controls for network access to ML resources and practice applying them to scenarios.

Review the official skills for Security best practices for CI/CD pipelines and practice applying them to scenarios.

Review the official skills for Skills in: and practice applying them to scenarios.

Review the official skills for Configuring least privilege access to ML artifacts and practice applying them to scenarios.

Review the official skills for Configuring IAM policies and roles for users and applications that interact with ML systems and practice applying them to scenarios.

Review the official skills for Monitoring, auditing, and logging ML systems to ensure continued security and compliance and practice applying them to scenarios.

Review the official skills for Troubleshooting and debugging security issues and practice applying them to scenarios.

Review the official skills for Building VPCs, subnets, and security groups to securely isolate ML systems and practice applying them to scenarios.

Review the official skills for Task 4.3: Secure AWS resources 14 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for In-Scope AWS Services and practice applying them to scenarios.

Review the official skills for The following list contains AWS services and features that are in scope for the AWS Certified and practice applying them to scenarios.

Review the official skills for Machine Learning Engineer - Associate (MLA-C01) exam. This list is non-exhaustive and is subject to and practice applying them to scenarios.

change. AWS offerings appear in categories that align with the offerings' primary functions.:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Analytics:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Application Integration and practice applying them to scenarios.

Review the official skills for Cloud Financial Management and practice applying them to scenarios.

Compute:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Containers and practice applying them to scenarios.

Database:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Developer Tools and practice applying them to scenarios.

Review the official skills for Machine Learning and practice applying them to scenarios.

Review the official skills for Management and Governance and practice applying them to scenarios.

Review the official skills for Migration and Transfer and practice applying them to scenarios.

Review the official skills for Networking and Content Delivery and practice applying them to scenarios.

Review the official skills for Security, Identity, and Compliance and practice applying them to scenarios.

Storage:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Analytics:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Amazon Athena and practice applying them to scenarios.

Review the official skills for Amazon Data Firehose and practice applying them to scenarios.

Review the official skills for Amazon EMR and practice applying them to scenarios.

AWS Glue:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for AWS Glue DataBrew and practice applying them to scenarios.

Review the official skills for AWS Glue Data Quality and practice applying them to scenarios.

Review the official skills for Amazon Kinesis and practice applying them to scenarios.

Review the official skills for In-Scope AWS Services 15 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for AWS Lake Formation and practice applying them to scenarios.

Review the official skills for Amazon Managed Service for Apache Flink and practice applying them to scenarios.

Review the official skills for Amazon OpenSearch Service and practice applying them to scenarios.

Review the official skills for Amazon Quick and practice applying them to scenarios.

Review the official skills for Amazon Redshift and practice applying them to scenarios.

Review the official skills for Application Integration and practice applying them to scenarios.

Review the official skills for Amazon EventBridge and practice applying them to scenarios.

Review the official skills for Amazon Managed Workflows for Apache Airflow (Amazon MWAA) and practice applying them to scenarios.

Review the official skills for Amazon SNS and practice applying them to scenarios.

Review the official skills for Amazon SQS and practice applying them to scenarios.

Review the official skills for AWS Step Functions and practice applying them to scenarios.

Review the official skills for Cloud Financial Management and practice applying them to scenarios.

Review the official skills for AWS Billing and Cost Management and practice applying them to scenarios.

Review the official skills for AWS Budgets and practice applying them to scenarios.

Review the official skills for AWS Cost Explorer and practice applying them to scenarios.

Compute:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

AWS Batch:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Amazon EC2 and practice applying them to scenarios.

Review the official skills for AWS Lambda and practice applying them to scenarios.

Review the official skills for AWS Serverless Application Repository and practice applying them to scenarios.

Review the official skills for Containers and practice applying them to scenarios.

Review the official skills for Amazon ECR and practice applying them to scenarios.

Review the official skills for Amazon ECS and practice applying them to scenarios.

Review the official skills for Application Integration 16 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Amazon EKS and practice applying them to scenarios.

Database:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Amazon DocumentDB and practice applying them to scenarios.

Review the official skills for Amazon DynamoDB and practice applying them to scenarios.

Review the official skills for Amazon ElastiCache and practice applying them to scenarios.

Review the official skills for Amazon Neptune and practice applying them to scenarios.

Review the official skills for Amazon RDS and practice applying them to scenarios.

Review the official skills for Developer Tools and practice applying them to scenarios.

AWS CDK:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for AWS CodeArtifact and practice applying them to scenarios.

Review the official skills for AWS CodeBuild and practice applying them to scenarios.

Review the official skills for AWS CodeDeploy and practice applying them to scenarios.

Review the official skills for AWS CodePipeline and practice applying them to scenarios.

AWS X-Ray:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Machine Learning and practice applying them to scenarios.

Review the official skills for Amazon Augmented AI (Amazon A2I) and practice applying them to scenarios.

Review the official skills for Amazon Bedrock and practice applying them to scenarios.

Review the official skills for Amazon CodeGuru and practice applying them to scenarios.

Review the official skills for Amazon Comprehend and practice applying them to scenarios.

Review the official skills for Amazon Comprehend Medical and practice applying them to scenarios.

Review the official skills for Amazon DevOps Guru and practice applying them to scenarios.

Review the official skills for Amazon Fraud Detector and practice applying them to scenarios.

Review the official skills for AWS HealthLake and practice applying them to scenarios.

Review the official skills for Amazon Kendra and practice applying them to scenarios.

Review the official skills for Amazon Lex and practice applying them to scenarios.

Review the official skills for Database 17 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Amazon Lookout for Equipment and practice applying them to scenarios.

Review the official skills for Amazon Lookout for Metrics and practice applying them to scenarios.

Review the official skills for Amazon Lookout for Vision and practice applying them to scenarios.

Review the official skills for Amazon Mechanical Turk and practice applying them to scenarios.

Review the official skills for Amazon Personalize and practice applying them to scenarios.

Review the official skills for Amazon Polly and practice applying them to scenarios.

Amazon Q:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Amazon Rekognition and practice applying them to scenarios.

Review the official skills for Amazon SageMaker and practice applying them to scenarios.

Review the official skills for Amazon Textract and practice applying them to scenarios.

Review the official skills for Amazon Transcribe and practice applying them to scenarios.

Review the official skills for Amazon Translate and practice applying them to scenarios.

Review the official skills for Management and Governance and practice applying them to scenarios.

Review the official skills for AWS Auto Scaling and practice applying them to scenarios.

Review the official skills for AWS Chatbot and practice applying them to scenarios.

Review the official skills for AWS CloudFormation and practice applying them to scenarios.

Review the official skills for AWS CloudTrail and practice applying them to scenarios.

Review the official skills for Amazon CloudWatch and practice applying them to scenarios.

Review the official skills for Amazon CloudWatch Logs and practice applying them to scenarios.

Review the official skills for AWS Compute Optimizer and practice applying them to scenarios.

AWS Config:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for AWS Organizations and practice applying them to scenarios.

Review the official skills for AWS Service Catalog and practice applying them to scenarios.

Review the official skills for AWS Systems Manager and practice applying them to scenarios.

Review the official skills for AWS Trusted Advisor and practice applying them to scenarios.

Review the official skills for Amazon Kinesis Video Streams and practice applying them to scenarios.

Review the official skills for Management and Governance 18 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Migration and Transfer and practice applying them to scenarios.

Review the official skills for AWS DataSync and practice applying them to scenarios.

Review the official skills for Networking and Content Delivery and practice applying them to scenarios.

Review the official skills for Amazon API Gateway and practice applying them to scenarios.

Review the official skills for Amazon CloudFront and practice applying them to scenarios.

Review the official skills for AWS Direct Connect and practice applying them to scenarios.

Review the official skills for Amazon VPC and practice applying them to scenarios.

Review the official skills for Security, Identity, and Compliance and practice applying them to scenarios.

AWS KMS:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Amazon Macie and practice applying them to scenarios.

Review the official skills for AWS Secrets Manager and practice applying them to scenarios.

Storage:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Amazon EBS and practice applying them to scenarios.

Review the official skills for Amazon EFS and practice applying them to scenarios.

Review the official skills for Amazon FSx and practice applying them to scenarios.

Amazon S3:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Amazon S3 Glacier and practice applying them to scenarios.

Review the official skills for AWS Storage Gateway and practice applying them to scenarios.

Review the official skills for Out-of-Scope AWS Services and practice applying them to scenarios.

Review the official skills for The following list contains AWS services and features that are out of scope for the AWS Certified and practice applying them to scenarios.

Review the official skills for Machine Learning Engineer - Associate (MLA-C01) exam. This list is non-exhaustive and is subject to and practice applying them to scenarios.

change. AWS offerings that are entirely unrelated to the target job roles for the exam are excluded:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

from this list.:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Migration and Transfer 19 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Analytics:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Application Integration and practice applying them to scenarios.

Review the official skills for Business Applications and practice applying them to scenarios.

Review the official skills for Cloud Financial Management and practice applying them to scenarios.

Compute:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Containers and practice applying them to scenarios.

Review the official skills for Customer Enablement and practice applying them to scenarios.

Review the official skills for Developer Tools and practice applying them to scenarios.

Review the official skills for End User Computing and practice applying them to scenarios.

Review the official skills for Frontend Web and Mobile and practice applying them to scenarios.

Review the official skills for Internet of Things (IoT) and practice applying them to scenarios.

Review the official skills for Machine Learning and practice applying them to scenarios.

Review the official skills for Management and Governance and practice applying them to scenarios.

Review the official skills for Migration and Transfer and practice applying them to scenarios.

Review the official skills for Networking and Content Delivery and practice applying them to scenarios.

Review the official skills for Security, Identity, and Compliance and practice applying them to scenarios.

Storage:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Analytics:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for AWS Clean Rooms and practice applying them to scenarios.

Review the official skills for Amazon DataZone and practice applying them to scenarios.

Review the official skills for Amazon FinSpace and practice applying them to scenarios.

Review the official skills for Application Integration and practice applying them to scenarios.

Review the official skills for Amazon AppFlow and practice applying them to scenarios.

Amazon MQ:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Amazon Simple Workflow Service (Amazon SWF) and practice applying them to scenarios.

Review the official skills for Analytics 20 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Business Applications and practice applying them to scenarios.

Review the official skills for Amazon Chime and practice applying them to scenarios.

Review the official skills for Amazon Connect and practice applying them to scenarios.

Review the official skills for Amazon Honeycode and practice applying them to scenarios.

Review the official skills for Amazon Pinpoint and practice applying them to scenarios.

Review the official skills for Amazon SES and practice applying them to scenarios.

Review the official skills for AWS Supply Chain and practice applying them to scenarios.

AWS Wickr:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for Amazon WorkDocs and practice applying them to scenarios.

Review the official skills for Amazon WorkMail and practice applying them to scenarios.

Review the official skills for Cloud Financial Management and practice applying them to scenarios.

Review the official skills for AWS Application Cost Profiler and practice applying them to scenarios.

Compute:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for AWS App Runner and practice applying them to scenarios.

Review the official skills for AWS Elastic Beanstalk and practice applying them to scenarios.

Review the official skills for Amazon Lightsail and practice applying them to scenarios.

Review the official skills for AWS Outposts and practice applying them to scenarios.

Review the official skills for Containers and practice applying them to scenarios.

Review the official skills for Red Hat OpenShift Service on AWS (ROSA) and practice applying them to scenarios.

Review the official skills for Customer Enablement and practice applying them to scenarios.

Review the official skills for AWS Activate for startups and practice applying them to scenarios.

Review the official skills for AWS re:Post Private and practice applying them to scenarios.

Review the official skills for Business Applications 21 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Developer Tools and practice applying them to scenarios.

Review the official skills for AWS Application Composer and practice applying them to scenarios.

Review the official skills for AWS CloudShell and practice applying them to scenarios.

Review the official skills for Amazon CodeCatalyst and practice applying them to scenarios.

Review the official skills for AWS Fault Injection Service and practice applying them to scenarios.

Review the official skills for End User Computing and practice applying them to scenarios.

Review the official skills for Amazon AppStream 2.0 and practice applying them to scenarios.

Review the official skills for Amazon WorkSpaces and practice applying them to scenarios.

Review the official skills for Amazon WorkSpaces Secure Browser and practice applying them to scenarios.

Review the official skills for Amazon WorkSpaces Thin Client and practice applying them to scenarios.

Review the official skills for Frontend Web and Mobile and practice applying them to scenarios.

Review the official skills for AWS Amplify and practice applying them to scenarios.

Review the official skills for AWS AppSync and practice applying them to scenarios.

Review the official skills for AWS Device Farm and practice applying them to scenarios.

Review the official skills for Amazon Location Service and practice applying them to scenarios.

Review the official skills for Internet of Things (IoT) and practice applying them to scenarios.

FreeRTOS:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for AWS IoT 1-Click and practice applying them to scenarios.

Review the official skills for AWS IoT Core and practice applying them to scenarios.

Review the official skills for AWS IoT Device Defender and practice applying them to scenarios.

Review the official skills for AWS IoT Device Management and practice applying them to scenarios.

Review the official skills for AWS IoT Events and practice applying them to scenarios.

Review the official skills for AWS IoT FleetWise and practice applying them to scenarios.

Review the official skills for AWS IoT Greengrass and practice applying them to scenarios.

Review the official skills for AWS IoT RoboRunner and practice applying them to scenarios.

Review the official skills for Developer Tools 22 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for AWS IoT SiteWise and practice applying them to scenarios.

Review the official skills for AWS IoT TwinMaker and practice applying them to scenarios.

Review the official skills for Machine Learning and practice applying them to scenarios.

Review the official skills for AWS DeepRacer and practice applying them to scenarios.

Review the official skills for AWS HealthImaging and practice applying them to scenarios.

Review the official skills for AWS HealthOmics and practice applying them to scenarios.

Review the official skills for Amazon Monitron and practice applying them to scenarios.

Review the official skills for AWS Panorama and practice applying them to scenarios.

Review the official skills for Management and Governance and practice applying them to scenarios.

Review the official skills for AWS AppConfig and practice applying them to scenarios.

Review the official skills for AWS Control Tower and practice applying them to scenarios.

Review the official skills for AWS Launch Wizard and practice applying them to scenarios.

Review the official skills for AWS License Manager and practice applying them to scenarios.

Review the official skills for Amazon Managed Grafana and practice applying them to scenarios.

Review the official skills for AWS Proton and practice applying them to scenarios.

Review the official skills for AWS Resilience Hub and practice applying them to scenarios.

Review the official skills for AWS Resource Explorer and practice applying them to scenarios.

Review the official skills for AWS Telco Network Builder and practice applying them to scenarios.

Review the official skills for AWS User Notifications and practice applying them to scenarios.

Review the official skills for Amazon Elastic Transcoder and practice applying them to scenarios.

Review the official skills for AWS Elemental Appliances and Software and practice applying them to scenarios.

Review the official skills for AWS Elemental MediaConnect and practice applying them to scenarios.

Review the official skills for AWS Elemental MediaConvert and practice applying them to scenarios.

Review the official skills for AWS Elemental MediaLive and practice applying them to scenarios.

Review the official skills for AWS Elemental MediaPackage and practice applying them to scenarios.

Review the official skills for Machine Learning 23 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for AWS Elemental MediaStore and practice applying them to scenarios.

Review the official skills for AWS Elemental MediaTailor and practice applying them to scenarios.

Review the official skills for Amazon Interactive Video Service (Amazon IVS) and practice applying them to scenarios.

Review the official skills for Amazon Nimble Studio and practice applying them to scenarios.

Review the official skills for Migration and Transfer and practice applying them to scenarios.

Review the official skills for AWS Application Discovery Service and practice applying them to scenarios.

Review the official skills for AWS Application Migration Service and practice applying them to scenarios.

Review the official skills for AWS Mainframe Modernization and practice applying them to scenarios.

Review the official skills for AWS Migration Hub and practice applying them to scenarios.

Review the official skills for Networking and Content Delivery and practice applying them to scenarios.

Review the official skills for AWS App Mesh and practice applying them to scenarios.

Review the official skills for AWS Cloud Map and practice applying them to scenarios.

Review the official skills for AWS Global Accelerator and practice applying them to scenarios.

Review the official skills for AWS Private 5G and practice applying them to scenarios.

Review the official skills for Amazon Route 53 and practice applying them to scenarios.

Review the official skills for Amazon Route 53 Application Recovery Controller and practice applying them to scenarios.

Review the official skills for Amazon VPC IP Address Manager and practice applying them to scenarios.

Review the official skills for Security, Identity, and Compliance and practice applying them to scenarios.

Review the official skills for AWS Artifact and practice applying them to scenarios.

Review the official skills for AWS Audit Manager and practice applying them to scenarios.

Review the official skills for AWS Certificate Manager (ACM) and practice applying them to scenarios.

Review the official skills for AWS CloudHSM and practice applying them to scenarios.

Review the official skills for Amazon Cognito and practice applying them to scenarios.

Review the official skills for Amazon Detective and practice applying them to scenarios.

Review the official skills for AWS Directory Service and practice applying them to scenarios.

Review the official skills for AWS Firewall Manager and practice applying them to scenarios.

Review the official skills for Migration and Transfer 24 and practice applying them to scenarios.

Review the official skills for AWS Certified Machine Learning Engineer - Associate Exam Guide (MLA-C01) and practice applying them to scenarios.

Review the official skills for Amazon GuardDuty and practice applying them to scenarios.

Review the official skills for Amazon Inspector and practice applying them to scenarios.

Review the official skills for AWS Payment Cryptography and practice applying them to scenarios.

Review the official skills for AWS Private CA and practice applying them to scenarios.

Review the official skills for AWS Resource Access Manager (AWS RAM) and practice applying them to scenarios.

Review the official skills for AWS Security Hub and practice applying them to scenarios.

Review the official skills for AWS Shield and practice applying them to scenarios.

Review the official skills for AWS Signer and practice applying them to scenarios.

Review the official skills for Amazon Verified Permissions and practice applying them to scenarios.

AWS WAF:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Storage:

https://docs.aws.amazon.com/pdfs/aws-certification/latest/machine-learning-engineer-associate-01/machine-learning-engineer-associate-01.pdf

Review the official skills for AWS Elastic Disaster Recovery and practice applying them to scenarios.

Review the official skills for How useful was this exam guide? Let us know by taking our survey. and practice applying them to scenarios.

Review the official skills for Storage 25 and practice applying them to scenarios.