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Databricks Databricks-Generative-AI-Engineer-Associate Exam With Confidence Using Practice Dumps

Exam Code:
Databricks-Generative-AI-Engineer-Associate
Exam Name:
Databricks Certified Generative AI Engineer Associate
Certification:
Vendor:
Questions:
61
Last Updated:
Apr 3, 2025
Exam Status:
Stable
Databricks Databricks-Generative-AI-Engineer-Associate

Databricks-Generative-AI-Engineer-Associate: Generative AI Engineer Exam 2025 Study Guide Pdf and Test Engine

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Databricks Certified Generative AI Engineer Associate Questions and Answers

Question 1

A Generative Al Engineer is developing a RAG application and would like to experiment with different embedding models to improve the application performance.

Which strategy for picking an embedding model should they choose?

Options:

A.

Pick an embedding model trained on related domain knowledge

B.

Pick the most recent and most performant open LLM released at the time

C.

pick the embedding model ranked highest on the Massive Text Embedding Benchmark (MTEB) leaderboard hosted by HuggingFace

D.

Pick an embedding model with multilingual support to support potential multilingual user questions

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Question 2

A Generative Al Engineer would like an LLM to generate formatted JSON from emails. This will require parsing and extracting the following information: order ID, date, and sender email. Here’s a sample email:

They will need to write a prompt that will extract the relevant information in JSON format with the highest level of output accuracy.

Which prompt will do that?

Options:

A.

You will receive customer emails and need to extract date, sender email, and order ID. You should return the date, sender email, and order ID information in JSON format.

B.

You will receive customer emails and need to extract date, sender email, and order ID. Return the extracted information in JSON format.

Here’s an example: {“date”: “April 16, 2024”, “sender_email”: “sarah.lee925@gmail.com”, “order_id”: “RE987D”}

C.

You will receive customer emails and need to extract date, sender email, and order ID. Return the extracted information in a human-readable format.

D.

You will receive customer emails and need to extract date, sender email, and order ID. Return the extracted information in JSON format.

Question 3

Which indicator should be considered to evaluate the safety of the LLM outputs when qualitatively assessing LLM responses for a translation use case?

Options:

A.

The ability to generate responses in code

B.

The similarity to the previous language

C.

The latency of the response and the length of text generated

D.

The accuracy and relevance of the responses