최신 Databricks-Generative-AI-Engineer-Associate 무료덤프 - Databricks Certified Generative AI Engineer Associate

문제1

A Generative Al Engineer is creating an LLM system that will retrieve news articles from the year 1918 and related to a user's query and summarize them. The engineer has noticed that the summaries are generated well but often also include an explanation of how the summary was generated, which is undesirable.
Which change could the Generative Al Engineer perform to mitigate this issue?

A. Tune the chunk size of news articles or experiment with different embedding models.

B. Split the LLM output by newline characters to truncate away the summarization explanation.

C. Revisit their document ingestion logic, ensuring that the news articles are being ingested properly.

D. Provide few shot examples of desired output format to the system and/or user prompt.

정답: D

설명: (DumpTOP 회원만 볼 수 있음)

문제2

A Generative AI Engineer is creating an LLM-powered application that will need access to up-to-date news articles and stock prices.
The design requires the use of stock prices which are stored in Delta tables and finding the latest relevant news articles by searching the internet.
How should the Generative AI Engineer architect their LLM system?

A. Query the Delta table for volatile stock prices and use an LLM to generate a search query to investigate potential causes of the stock volatility.

B. Download and store news articles and stock price information in a vector store. Use a RAG architecture to retrieve and generate at runtime.

C. Use an LLM to summarize the latest news articles and lookup stock tickers from the summaries to find stock prices.

D. Create an agent with tools for SQL querying of Delta tables and web searching, provide retrieved values to an LLM for generation of response.

정답: D

설명: (DumpTOP 회원만 볼 수 있음)

문제3

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. HuggingFace Leaderboard values for the base LLM

C. Final perplexity scores for the training of the model

D. Number of customer inquiries processed per unit of time

정답: D

설명: (DumpTOP 회원만 볼 수 있음)

문제4

A Generative Al Engineer interfaces with an LLM with prompt/response behavior that has been trained on customer calls inquiring about product availability. The LLM is designed to output "In Stock" if the product is available or only the term "Out of Stock" if not.
Which prompt will work to allow the engineer to respond to call classification labels correctly?

A. You will be given a customer call transcript where the customer inquires about product availability.Respond with "In Stock" if the product is available or "Out of Stock" if not.

B. You will be given a customer call transcript where the customer asks about product availability. The outputs are either "In Stock" or "Out of Stock". Format the output in JSON, for example: {"call_id":
"123", "label": "In Stock"}.

C. Respond with "In Stock" if the customer asks for a product.

D. Respond with "Out of Stock" if the customer asks for a product.

정답: B

설명: (DumpTOP 회원만 볼 수 있음)

문제5

A Generative AI Engineer is designing a chatbot for a gaming company that aims to engage users on its platform while its users play online video games.
Which metric would help them increase user engagement and retention for their platform?

A. Repetition of responses

B. Randomness

C. Lack of relevance

D. Diversity of responses

정답: D

설명: (DumpTOP 회원만 볼 수 있음)

최신 Databricks-Generative-AI-Engineer-Associate 무료덤프 - Databricks Certified Generative AI Engineer Associate

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