Free Databricks Databricks-Generative-AI-Engineer-Associate Exam Dumps Questions & Answers

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?

• A.Use an access token belonging to any workspace user
• 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 service principals

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.

A company has a typical RAG-enabled, customer-facing chatbot on its website.

Select the correct sequence of components a user's questions will go through before the final output is returned. Use the diagram above for reference.

• A.1.response-generating LLM, 2.context-augmented prompt, 3.vector search, 4.embedding model
• B.1.embedding model, 2.vector search, 3.context-augmented prompt, 4.response-generating LLM
• C.1.response-generating LLM, 2.vector search, 3.context-augmented prompt, 4.embedding model
• D.1.context-augmented prompt, 2.vector search, 3.embedding model, 4.response-generating LLM

A Generative AI Engineer just deployed an LLM application at a digital marketing company that assists with answering customer service inquiries.
Which metric should they monitor for their customer service LLM application in production?

• A.Energy usage per query
• B.Number of customer inquiries processed per unit of time
• C.HuggingFace Leaderboard values for the base LLM
• D.Final perplexity scores for the training of the model

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.Implement rate limiting
• B.Use only approved social media and news accounts to prevent unexpected toxic data from getting to the LLM.
• C.Log all LLM system responses and perform a batch toxicity analysis monthly.
• D.Reduce the amount of context Items the system will Include in consideration for its response.