Free Databricks-Generative-AI-Engineer-Associate Exam Dumps

Question 6

A Generative Al Engineer has built an LLM-based system that will automatically translate user text between two languages. They now want to benchmark multiple LLM's on this task and pick the best one. They have an evaluation set with known high quality translation examples. They want to evaluate each LLM using the evaluation set with a performant metric.
Which metric should they choose for this evaluation?

A. ROUGE metric
B. BLEU metric
C. NDCG metric
D. RECALL metric

Correct Answer:B

Question 7

What is an effective method to preprocess prompts using custom code before sending them to an LLM?

A. Directly modify the LLM??s internal architecture to include preprocessing steps
B. It is better not to introduce custom code to preprocess prompts as the LLM has not been trained with examples of the preprocessed prompts
C. Rather than preprocessing prompts, it??s more effective to postprocess the LLM outputs to align the outputs to desired outcomes
D. Write a MLflow PyFunc model that has a separate function to process the prompts

Correct Answer:D

Question 8

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. For the application a prompt, a retriever, and an LLM are require
B. The retriever output is inserted into the prompt which is given to the LLM to generate answers.
C. The LLM needs to be frequently with the new documents in order to provide most up-to- date answers.
D. For the question-answering application, prompt engineering and an LLM are required to generate answers.
E. For the application a prompt, an agent and a fine-tuned LLM are require
F. 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.

Correct Answer:A

Question 9

A Generative Al Engineer is working with a retail company that wants to enhance its customer experience by automatically handling common customer inquiries. They are working on an LLM-powered Al solution that should improve response times while maintaining a personalized interaction. They want to define the appropriate input and LLM task to do this.
Which input/output pair will do this?

A. Input: Customer reviews; Output Group the reviews by users and aggregate per-user average rating, then respond
B. Input: Customer service chat logs; Output Group the chat logs by users, followed by summarizing each user's interactions, then respond
C. Input: Customer service chat logs; Output: Find the answers to similar questions and respond with a summary
D. Input: Customer reviews: Output Classify review sentiment

Correct Answer:C

Question 10

A Generative Al Engineer is building a RAG application that answers questions about internal documents for the company SnoPen AI.
The source documents may contain a significant amount of irrelevant content, such as advertisements, sports news, or entertainment news, or content about other companies.
Which approach is advisable when building a RAG application to achieve this goal of filtering irrelevant information?

A. Keep all articles because the RAG application needs to understand non-company content to avoid answering questions about them.
B. Include in the system prompt that any information it sees will be about SnoPenAI, even if no data filtering is performed.
C. Include in the system prompt that the application is not supposed to answer any questions unrelated to SnoPen Al.
D. Consolidate all SnoPen AI related documents into a single chunk in the vector database.

Correct Answer:C