A team is using MLflow to track an agentic system. They need to compare the performance of two agent versions, but the metrics are logged in different formats (e.g., one logs accuracy as a float, the other as a string). What is the best way to handle this?

Use MLflow's automatic metric conversion

Manually compare the metrics by reading the logs

Standardize the metric logging format across versions

Only track one version to avoid inconsistency

DatabricksCertified Generative AI Engineer Associate

Domain 3Objective 5

Tooling and Frameworks GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 2)

Part of the Section 3: Application Development domain, which makes up ~18% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~6–11 in this domain), expect 1–2 from this objective — we provide 24 practice questions to prepare you well beyond it. (estimate)

24questions here

5free pages

6concepts

Questions 6–10

6foundation · easy
A developer is building an agentic system that needs to maintain context across multiple user interactions and manage tool calls. Which framework provides built-in support for state management, memory, and tool interactions?
Select an answer first
7foundation · easy
An organization needs to select an orchestration framework for a generative AI application that requires extensive integration with external data sources and APIs. Which framework is known for its strong data-centric approach and seamless integration with data indexes and retrieval systems?
Select an answer first
8expert · hard
A team is using MLflow to track an agentic system. They need to compare the performance of two agent versions, but the metrics are logged in different formats (e.g., one logs accuracy as a float, the other as a string). What is the best way to handle this?
Select an answer first
9foundation · easy
A data science team wants to track the performance of their agentic system by logging prompts, responses, and metrics during development. Which tool is specifically designed for this purpose in the Databricks ecosystem?
Select an answer first
10foundation · easy
Which type of query does Genie Spaces accept to retrieve data from curated datasets?
Select an answer first

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Tooling and Frameworks GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 2)

Questions 6–10

A developer is building an agentic system that needs to maintain context across multiple user interactions and manage tool calls. Which framework provides built-in support for state management, memory, and tool interactions?

An organization needs to select an orchestration framework for a generative AI application that requires extensive integration with external data sources and APIs. Which framework is known for its strong data-centric approach and seamless integration with data indexes and retrieval systems?

A team is using MLflow to track an agentic system. They need to compare the performance of two agent versions, but the metrics are logged in different formats (e.g., one logs accuracy as a float, the other as a string). What is the best way to handle this?

A data science team wants to track the performance of their agentic system by logging prompts, responses, and metrics during development. Which tool is specifically designed for this purpose in the Databricks ecosystem?

Which type of query does Genie Spaces accept to retrieve data from curated datasets?

Keep studying — Section 3: Application Development