Databricks Certified Generative AI Engineer Associate (Databricks-Generative-AI-Engineer-Associate) Free Practice Test

Question 1

A Generative AI Engineer has a provisioned throughput model serving endpoint as part of a RAG application and would like to monitor the serving endpoint's incoming requests and outgoing responses. The current approach is to include a micro-service in between the endpoint and the user interface to write logs to a remote server.
Which Databricks feature should they use instead which will perform the same task?

A. Inference Tables

B. Lakeview

C. DBSQL

D. Vector Search

Correct Answer: A

Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).

Question 2

A Generative AI Engineer is testing a simple prompt template in LangChain using the code below, but is getting an error.

Assuming the API key was properly defined, what change does the Generative AI Engineer need to make to fix their chain?

A.

B.

C.

D.

Correct Answer: C

Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).

Question 3

When developing an LLM application, it's crucial to ensure that the data used for training the model complies with licensing requirements to avoid legal risks.
Which action is NOT appropriate to avoid legal risks?

A. Use any available data you personally created which is completely original and you can decide what license to use.

B. Reach out to the data curators directly before you have started using the trained model to let them know.

C. Only use data explicitly labeled with an open license and ensure the license terms are followed.

D. Reach out to the data curators directly after you have started using the trained model to let them know.

Correct Answer: D

Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).

Question 4

All of the following are Python APIs used to query Databricks foundation models. When running in an interactive notebook, which of the following libraries does not automatically use the current session credentials?

A. REST API via requests library

B. MLflow Deployments SDK

C. OpenAI client

D. Databricks Python SDK

Correct Answer: A

Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).

Question 5

A Generative Al Engineer wants their (inetuned LLMs in their prod Databncks workspace available for testing in their dev workspace as well. All of their workspaces are Unity Catalog enabled and they are currently logging their models into the Model Registry in MLflow.
What is the most cost-effective and secure option for the Generative Al Engineer to accomplish their gAi?

A. Use an external model registry which can be accessed from all workspaces

B. Setup a duplicate training pipeline in dev, so that an identical model is available in dev.

C. Use MLflow to log the model directly into Unity Catalog, and enable READ access in the dev workspace to the model.

D. Setup a script to export the model from prod and import it to dev.

Correct Answer: C

Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).

Question 6

A generative AI engineer is deploying an AI agent authored with MLflow's ChatAgent interface for a retail company's customer support system on Databricks. The agent must handle thousands of inquiries daily, and the engineer needs to track its performance and quality in real-time to ensure it meets service-level agreements. Which metrics are automatically captured by default and made available for monitoring when the agent is deployed using the Mosaic AI Agent Framework?

A. Quality metrics like correctness and guideline adherence

B. Operational metrics like request volume, latency, and errors

C. Both operational and quality metrics

D. No metrics are automatically captured

Correct Answer: B

Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).

Question 7

A Generative Al Engineer is setting up a Databricks Vector Search that will lookup news articles by topic within 10 days of the date specified An example query might be "Tell me about monster truck news around January 5th 1992". They want to do this with the least amount of effort.
How can they set up their Vector Search index to support this use case?

A. Create separate indexes by topic and add a classifier model to appropriately pick the best index.

B. pass the query directly to the vector search index and return the best articles.

C. Split articles by 10 day blocks and return the block closest to the query.

D. Include metadata columns for article date and topic to support metadata filtering.

Correct Answer: D

Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).

Question 8

A Generative Al Engineer is working with a retail company that wants to enhance its customer experience by automatically handling common customer inquiries. They are working on an LLM-powered Al solution that should improve response times while maintaining a personalized interaction. They want to define the appropriate input and LLM task to do this.
Which input/output pair will do this?

A. Input: Customer reviews; Output Group the reviews by users and aggregate per-user average rating, then respond

B. Input: Customer service chat logs; Output: Find the answers to similar questions and respond with a summary

C. Input: Customer service chat logs; Output Group the chat logs by users, followed by summarizing each user's interactions, then respond

D. Input: Customer reviews: Output Classify review sentiment

Correct Answer: B

Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).

Welcome to TestSimulate

Databricks Certified Generative AI Engineer Associate (Databricks-Generative-AI-Engineer-Associate) Free Practice Test