최신Databricks Certified Generative AI Engineer Associate - Databricks-Generative-AI-Engineer-Associate무료샘플문제
문제1
Databricks offers a number of built-in AI judges that provide metrics and rationale for different types of quality issues a Generative AI application may have.
Which of the following pairs of judges both require a ground-truth label in the evaluation dataset field expected_response to execute?
Databricks offers a number of built-in AI judges that provide metrics and rationale for different types of quality issues a Generative AI application may have.
Which of the following pairs of judges both require a ground-truth label in the evaluation dataset field expected_response to execute?
정답: B
설명: (ExamPassdump 회원만 볼 수 있음)
문제2
What is an effective method to preprocess prompts using custom code before sending them to an LLM?
What is an effective method to preprocess prompts using custom code before sending them to an LLM?
정답: A
설명: (ExamPassdump 회원만 볼 수 있음)
문제3
A Generative AI Engineer has deployed a RAG application to production. Its Vector Search index is built from a Delta table that receives incremental updates every hour from an upstream ETL pipeline. The team wants the index to automatically reflect source-table changes without manual re-indexing and without changing the endpoint used by downstream applications.
Which approach should the engineer use?
A Generative AI Engineer has deployed a RAG application to production. Its Vector Search index is built from a Delta table that receives incremental updates every hour from an upstream ETL pipeline. The team wants the index to automatically reflect source-table changes without manual re-indexing and without changing the endpoint used by downstream applications.
Which approach should the engineer use?
정답: A
설명: (ExamPassdump 회원만 볼 수 있음)
문제4
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 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?
정답: C
설명: (ExamPassdump 회원만 볼 수 있음)
문제5
A generative AI engineer is deploying an AI agent authored with MLflow's ChatAgent interface for a retail company ' s customer support system on Databricks. The agent must handle thousands of inquiries daily, and the engineer needs to track its performance and quality in real-time to ensure it meets service-level agreements. Which metrics are automatically captured by default and made available for monitoring when the agent is deployed using the Mosaic AI Agent Framework?
A generative AI engineer is deploying an AI agent authored with MLflow's ChatAgent interface for a retail company ' s customer support system on Databricks. The agent must handle thousands of inquiries daily, and the engineer needs to track its performance and quality in real-time to ensure it meets service-level agreements. Which metrics are automatically captured by default and made available for monitoring when the agent is deployed using the Mosaic AI Agent Framework?
정답: B
설명: (ExamPassdump 회원만 볼 수 있음)
문제6
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 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?
정답: B
설명: (ExamPassdump 회원만 볼 수 있음)
문제7
A Generative AI Engineer is building a compound AI system for an organization. The goal is to automate the processing of incoming customer event reports against a coding system and corporate-guidelines documentation. The system must handle three distinct user-request types: answering questions from guidelines documents, extracting specific event codes from reviewers' notes, and routing ambiguous requests to the appropriate specialized handler. All three capabilities must operate under a single entry point that interprets user intent and delegates accordingly.
Which Agent Brick should serve as the top-level orchestrator in this architecture?
A Generative AI Engineer is building a compound AI system for an organization. The goal is to automate the processing of incoming customer event reports against a coding system and corporate-guidelines documentation. The system must handle three distinct user-request types: answering questions from guidelines documents, extracting specific event codes from reviewers' notes, and routing ambiguous requests to the appropriate specialized handler. All three capabilities must operate under a single entry point that interprets user intent and delegates accordingly.
Which Agent Brick should serve as the top-level orchestrator in this architecture?
정답: D
설명: (ExamPassdump 회원만 볼 수 있음)
문제8
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 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?
정답: A
설명: (ExamPassdump 회원만 볼 수 있음)
문제9
A Generative Al Engineer has successfully ingested unstructured documents and chunked them by document sections. They would like to store the chunks in a Vector Search index. The current format of the dataframe has two columns: (i) original document file name (ii) an array of text chunks for each document.
What is the most performant way to store this dataframe?
A Generative Al Engineer has successfully ingested unstructured documents and chunked them by document sections. They would like to store the chunks in a Vector Search index. The current format of the dataframe has two columns: (i) original document file name (ii) an array of text chunks for each document.
What is the most performant way to store this dataframe?
정답: A
설명: (ExamPassdump 회원만 볼 수 있음)
문제10
A Generative AI Engineer is building a multi-turn chat app with LangGraph on Databricks. The app must persist chat history-messages, roles, timestamps, and session IDs-for many concurrent users, support SQL queries, and stay governed in Unity Catalog. The engineer also wants ACID guarantees, low-latency reads and writes, and an easy way to sync chat data into Delta tables for analytics and model training.
Which approach fits these requirements?
A Generative AI Engineer is building a multi-turn chat app with LangGraph on Databricks. The app must persist chat history-messages, roles, timestamps, and session IDs-for many concurrent users, support SQL queries, and stay governed in Unity Catalog. The engineer also wants ACID guarantees, low-latency reads and writes, and an easy way to sync chat data into Delta tables for analytics and model training.
Which approach fits these requirements?
정답: C
설명: (ExamPassdump 회원만 볼 수 있음)