Databricks-Generative-AI-Engineer-Associate by Databricks Actual Free Exam Questions And Answers

Question 1

A Generative Al Engineer is building a system that will answer questions on currently unfolding news topics. As such, it pulls information from a variety of sources including articles and social media posts. They are concerned about toxic posts on social media causing toxic outputs from their system.
Which guardrail will limit toxic outputs?

A. Log all LLM system responses and perform a batch toxicity analysis monthly.

B. Use only approved social media and news accounts to prevent unexpected toxic data from getting to the LLM.

C. Implement rate limiting

D. Reduce the amount of context Items the system will Include in consideration for its response.

Discussion 0

Correct Answer: B Vote an answer

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Question 2

A Generative Al Engineer is creating an LLM-based application. The documents for its retriever have been chunked to a maximum of 512 tokens each. The Generative Al Engineer knows that cost and latency are more important than quality for this application. They have several context length levels to choose from.
Which will fulfill their need?

A. context length 32768: smallest model is 14GB and embedding dimension 4096

B. context length 514; smallest model is 0.44GB and embedding dimension 768

C. context length 2048: smallest model is 11GB and embedding dimension 2560

D. context length 512: smallest model is 0.13GB and embedding dimension 384

Discussion 0

Correct Answer: D Vote an answer

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Question 3

A Generative AI Engineer is developing a chatbot designed to assist users with insurance-related queries. The chatbot is built on a large language model (LLM) and is conversational. However, to maintain the chatbot's focus and to comply with company policy, it must not provide responses to questions about politics. Instead, when presented with political inquiries, the chatbot should respond with a standard message:
"Sorry, I cannot answer that. I am a chatbot that can only answer questions around insurance." Which framework type should be implemented to solve this?

A. Security Guardrail

B. Safety Guardrail

C. Compliance Guardrail

D. Contextual Guardrail

Discussion 0

Correct Answer: B Vote an answer

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Question 4

A Generative AI Engineer has been asked to build an LLM-based question-answering application. The application should take into account new documents that are frequently published. The engineer wants to build this application with the least cost and least development effort and have it operate at the lowest cost possible.
Which combination of chaining components and configuration meets these requirements?

A. The LLM needs to be frequently with the new documents in order to provide most up-to-date answers.

B. For the application a prompt, a retriever, and an LLM are required. The retriever output is inserted into the prompt which is given to the LLM to generate answers.

C. For the question-answering application, prompt engineering and an LLM are required to generate answers.

D. For the application a prompt, an agent and a fine-tuned LLM are required. The agent is used by the LLM to retrieve relevant content that is inserted into the prompt which is given to the LLM to generate answers.

Discussion 0

Correct Answer: B Vote an answer

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Question 5

A Generative Al Engineer is building an LLM-based application that has an important transcription (speech-to-text) task. Speed is essential for the success of the application Which open Generative Al models should be used?

A. whisper-large-v3 (1.6B)

B. MPT-30B-lnstruct

C. L!ama-2-70b-chat-hf

D. DBRX

Discussion 0

Correct Answer: A Vote an answer

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Question 6

A Generative AI Engineer is building a Generative AI system that suggests the best matched employee team member to newly scoped projects. The team member is selected from a very large team. The match should be based upon project date availability and how well their employee profile matches the project scope. Both the employee profile and project scope are unstructured text.
How should the Generative Al Engineer architect their system?

A. Create a tool to find available team members given project dates. Create a second tool that can calculate a similarity score for a combination of team member profile and the project scope. Iterate through the team members and rank by best score to select a team member.

B. Create a tool for finding available team members given project dates. Embed all project scopes into a vector store, perform a retrieval using team member profiles to find the best team member.

C. Create a tool for finding available team members given project dates. Embed team profiles into a vector store and use the project scope and filtering to perform retrieval to find the available best matched team members.

D. Create a tool for finding team member availability given project dates, and another tool that uses an LLM to extract keywords from project scopes. Iterate through available team members' profiles and perform keyword matching to find the best available team member.

Discussion 0

Correct Answer: C Vote an answer

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Question 7

Generative AI Engineer at an electronics company just deployed a RAG application for customers to ask questions about products that the company carries. However, they received feedback that the RAG response often returns information about an irrelevant product.
What can the engineer do to improve the relevance of the RAG's response?

A. Use a different LLM to improve the generated response

B. Implement caching for frequently asked questions

C. Use a different semantic similarity search algorithm

D. Assess the quality of the retrieved context

Discussion 0

Correct Answer: D Vote an answer

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Question 8

Which TWO chain components are required for building a basic LLM-enabled chat application that includes conversational capabilities, knowledge retrieval, and contextual memory?

A. Vector Stores

B. (Q)

C. Chat loaders

D. External tools

E. Conversation Buffer Memory

F. React Components

Discussion 0

Correct Answer: A,E Vote an answer

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Databricks Certified Generative AI Engineer Associate - Databricks-Generative-AI-Engineer-Associate Exam Practice Test

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