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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

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

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Question 2

A Generative Al Engineer is ready to deploy an LLM application written using Foundation Model APIs. They want to follow security best practices for production scenarios

Which authentication method should they choose?

Options:

A.

Use an access token belonging to service principals

B.

Use a frequently rotated access token belonging to either a workspace user or a service principal

C.

Use OAuth machine-to-machine authentication

D.

Use an access token belonging to any workspace user

Question 3

A Generative Al Engineer is deciding between using LSH (Locality Sensitive Hashing) and HNSW (Hierarchical Navigable Small World) for indexing their vector database Their top priority is semantic accuracy

Which approach should the Generative Al Engineer use to evaluate these two techniques?

Options:

A.

Compare the cosine similarities of the embeddings of returned results against those of a representative sample of test inputs

B.

Compare the Bilingual Evaluation Understudy (BLEU) scores of returned results for a representative sample of test inputs

C.

Compare the Recall-Onented-Understudy for Gistmg Evaluation (ROUGE) scores of returned results for a representative sample of test inputs

D.

Compare the Levenshtein distances of returned results against a representative sample of test inputs