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Databricks Databricks-Generative-AI-Engineer-Associate Exam Dumps Questions and Answers

Exam Code: Databricks-Generative-AI-Engineer-Associate
Certification: Generative AI Engineer
Vendor: Databricks
Last Update: Oct 7, 2024
Questions: 45 With Expert Explanation
10  Customers Passed Databricks Databricks-Generative-AI-Engineer-Associate
95%  Average Success In Real Exam
95%  Questions came word by word from this dump
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Databricks Certified Generative AI Engineer Associate Questions and Answers

Questions 1

A Generative Al Engineer is tasked with improving the RAG quality by addressing its inflammatory outputs.

Which action would be most effective in mitigating the problem of offensive text outputs?

Options:

A.

Increase the frequency of upstream data updates

B.

Inform the user of the expected RAG behavior

C.

Restrict access to the data sources to a limited number of users

D.

Curate upstream data properly that includes manual review before it is fed into the RAG system

Questions 2

A Generative Al Engineer is tasked with developing a RAG application that will help a small internal group of experts at their company answer specific questions, augmented by an internal knowledge base. They want the best possible quality in the answers, and neither latency nor throughput is a huge concern given that the user group is small and they’re willing to wait for the best answer. The topics are sensitive in nature and the data is highly confidential and so, due to regulatory requirements, none of the information is allowed to be transmitted to third parties.

Which model meets all the Generative Al Engineer’s needs in this situation?

Options:

A.

Dolly 1.5B

B.

OpenAI GPT-4

C.

BGE-large

D.

Llama2-70B

Questions 3

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?

Options:

A.

Vector Search

B.

Lakeview

C.

DBSQL

D.

Inference Tables