
DatabricksCertified Generative AI Engineer Associate
Domain 2Objective 5
Identify Needed Source Documents That Provide Necessary Knowledge and Quality for a Given RAG Application GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 4)
Part of the Section 2: Data Preparation domain, which makes up ~25% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~9–15 in this domain), expect 1–2 from this objective — we provide 21 practice questions to prepare you well beyond it. (estimate)
21questions here
5free pages
4concepts
Questions 16–20
- 16
Which of the following indicates a potential quality issue in a source document for a RAG application?
Select an answer first - 17
A manufacturing company wants to build a RAG application that allows engineers to query equipment maintenance manuals and real-time sensor data. The manuals are in PDF format, and the sensor data is stored in a time-series database. What is the most appropriate approach for preparing these source documents?
Select an answer first - 18
When selecting source documents for a RAG application that answers questions about a company's return policy, which document is most aligned with the application's needs?
Select an answer first - 19
A RAG application for a customer support portal is being built. The team has a vast internal wiki with articles on many topics, but it is known to contain outdated information and conflicting advice. They also have a smaller set of curated, up-to-date FAQ documents. The application must provide accurate answers, but the team is concerned about coverage. What is the best strategy?
Select an answer first - 20
A RAG application is being built to help users troubleshoot common issues with a software product. Which source document would best match the application's needs?
Select an answer first
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