← All certifications
databricks-genai-assocdatabricks

Databricks Certified Generative AI Engineer Associate

Databricks Certified Generative AI Engineer Associate official-source-aligned practice bank.

Official study guide
Free — no charge
20 modules360 practice questions

Design Applications

Study the official objectives for Design Applications.

Design Applications

Design Applications

Intermediate20 min

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

Design a prompt that elicits a specifically formatted response:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Select chain components for a desired model input and output

Study the official objectives for Select chain components for a desired model input and output.

Select chain components for a desired model input and output

Select chain components for a desired model input and output

Intermediate20 min

Review the official skills for Select chain components for a desired model input and output and practice applying them to scenarios.

Translate business use case goals into a description of the desired inputs and outputs for the:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

AI pipeline

Study the official objectives for AI pipeline.

AI pipeline

AI pipeline

Intermediate20 min

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

Define and order tools that gather knowledge or take actions for multi-stage reasoning:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Determine how and when to use Agent Bricks (Knowledge Assistant, Multiagent Supervisor, Information Extraction) to solve problems:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Apply a chunking strategy for a given document structure and model constraints

Study the official objectives for Apply a chunking strategy for a given document structure and model constraints.

Apply a chunking strategy for a given document structure and model constraints

Apply a chunking strategy for a given document structure and model constraints

Intermediate20 min

Review the official skills for Apply a chunking strategy for a given document structure and model constraints and practice applying them to scenarios.

Filter extraneous content in source documents that degrades quality of a:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

RAG application

Study the official objectives for RAG application.

RAG application

RAG application

Intermediate20 min

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

Choose the appropriate Python package to extract document content from provided source data and format:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Define operations and sequence to write given chunked text into:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Delta Lake tables in Unity Catalog

Study the official objectives for Delta Lake tables in Unity Catalog.

Delta Lake tables in Unity Catalog

Delta Lake tables in Unity Catalog

Intermediate20 min

Review the official skills for Delta Lake tables in Unity Catalog and practice applying them to scenarios.

Identify needed source documents that provide necessary knowledge and quality for a given:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Design retrieval systems using advanced chunking strategies

Study the official objectives for Design retrieval systems using advanced chunking strategies.

Design retrieval systems using advanced chunking strategies

Design retrieval systems using advanced chunking strategies

Intermediate20 min

Review the official skills for Design retrieval systems using advanced chunking strategies and practice applying them to scenarios.

Explain the role of re-ranking in the information retrieval process:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Application Development

Study the official objectives for Application Development.

Application Development

Application Development

Intermediate20 min

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

Select Langchain/similar tools for use in a Generative AI application:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Qualitatively assess responses to identify common issues such as quality and safety:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Select chunking strategy based on model & retrieval evaluation

Study the official objectives for Select chunking strategy based on model & retrieval evaluation.

Select chunking strategy based on model & retrieval evaluation

Select chunking strategy based on model & retrieval evaluation

Intermediate20 min

Review the official skills for Select chunking strategy based on model & retrieval evaluation and practice applying them to scenarios.

Augment a prompt with additional context from a user's input based on key fields, terms, and intents:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Create a prompt that adjusts an LLM's response from a baseline to a desired output:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Select the best LLM based on the attributes of the application to be developed

Study the official objectives for Select the best LLM based on the attributes of the application to be developed.

Select the best LLM based on the attributes of the application to be developed

Select the best LLM based on the attributes of the application to be developed

Intermediate20 min

Review the official skills for Select the best LLM based on the attributes of the application to be developed and practice applying them to scenarios.

Select an embedding model context length based on source documents, expected queries, and optimization strategy:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Select a model from a model hub or marketplace for a task based on model metadata/model cards:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Select the best model for a given task based on common metrics generated in experiments:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Utilize MLflow and:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Compare the evaluation and monitoring phases of the Gen AI application life cycle

Study the official objectives for Compare the evaluation and monitoring phases of the Gen AI application life cycle.

Compare the evaluation and monitoring phases of the Gen AI application life cycle

Compare the evaluation and monitoring phases of the Gen AI application life cycle

Intermediate20 min

Review the official skills for Compare the evaluation and monitoring phases of the Gen AI application life cycle and practice applying them to scenarios.

Enable multi-agent systems to leverage Genie Spaces or conversational API to retrieve data:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Code a simple chain according to requirements

Study the official objectives for Code a simple chain according to requirements.

Code a simple chain according to requirements

Code a simple chain according to requirements

Intermediate20 min

Review the official skills for Code a simple chain according to requirements and practice applying them to scenarios.

Choose the basic elements needed to create a RAG application: model flavor, embedding model, retriever, dependencies, input examples, model signature:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Register the model to Unity Catalog using MLflow:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Explain the key concepts and components of Mosaic AI Vector Search

Study the official objectives for Explain the key concepts and components of Mosaic AI Vector Search.

Explain the key concepts and components of Mosaic AI Vector Search

Explain the key concepts and components of Mosaic AI Vector Search

Intermediate20 min

Review the official skills for Explain the key concepts and components of Mosaic AI Vector Search and practice applying them to scenarios.

Identify batch inference workloads and apply ai_query() appropriately:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Configure vector search for a particular solution based on number of embeddings, update frequency, latency, and cost requirements:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Configure a persistent datastore to store and retrieve intermediate memory or structured information:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Apply CI/CD best practices such as updating a Vector Search index, promoting prompts across environments, and testing individual components of an agent:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Integrate managed, external, and custom:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Apply prompt version control and manage prompt lifecycle

Study the official objectives for Apply prompt version control and manage prompt lifecycle.

Apply prompt version control and manage prompt lifecycle

Apply prompt version control and manage prompt lifecycle

Intermediate20 min

Review the official skills for Apply prompt version control and manage prompt lifecycle and practice applying them to scenarios.

Develop an appropriate interactive user facing interface for an agent usage scenario (Apps, Slack, Teams, etc.):
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Use masking techniques as guard rails to meet a performance objective

Study the official objectives for Use masking techniques as guard rails to meet a performance objective.

Use masking techniques as guard rails to meet a performance objective

Use masking techniques as guard rails to meet a performance objective

Intermediate20 min

Review the official skills for Use masking techniques as guard rails to meet a performance objective and practice applying them to scenarios.

Select guardrail techniques to protect against malicious user inputs to a:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Use legal/licensing requirements for data sources to avoid legal risk

Study the official objectives for Use legal/licensing requirements for data sources to avoid legal risk.

Use legal/licensing requirements for data sources to avoid legal risk

Use legal/licensing requirements for data sources to avoid legal risk

Intermediate20 min

Review the official skills for Use legal/licensing requirements for data sources to avoid legal risk and practice applying them to scenarios.

Recommend an alternative for problematic text mitigation in a data source feeding a GenAI application:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Evaluation and Monitoring

Study the official objectives for Evaluation and Monitoring.

Evaluation and Monitoring

Evaluation and Monitoring

Intermediate20 min

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

Select an LLM choice (size and architecture) based on a set of quantitative evaluation metrics:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf
Select key metrics to monitor for a specific:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

LLM deployment scenario

Study the official objectives for LLM deployment scenario.

LLM deployment scenario

LLM deployment scenario

Intermediate20 min

Review the official skills for LLM deployment scenario and practice applying them to scenarios.

Evaluate agent performance using MLflow scoring and tracing:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Identify evaluation judges that require ground truth

Study the official objectives for Identify evaluation judges that require ground truth.

Identify evaluation judges that require ground truth

Identify evaluation judges that require ground truth

Intermediate20 min

Review the official skills for Identify evaluation judges that require ground truth and practice applying them to scenarios.

Use AI Gateway (Inference Tables, Usage Tables, and rate limiting) to track an LLM or agent deployed via Agent Framework:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf

Use Databricks custom Scorers for evaluating agents and LLMs

Study the official objectives for Use Databricks custom Scorers for evaluating agents and LLMs.

Use Databricks custom Scorers for evaluating agents and LLMs

Use Databricks custom Scorers for evaluating agents and LLMs

Intermediate20 min

Review the official skills for Use Databricks custom Scorers for evaluating agents and LLMs and practice applying them to scenarios.

Incorporate SME feedback to improve agent performance:
https://www.databricks.com/sites/default/files/2026-03/Databricks-Certified-Generative-AI-Engineer-Associate-Exam-Guide-Mar26.pdf