
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 1)
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 1–5
- 1
What does 'knowledge coverage' mean in the context of selecting source documents for a RAG application?
Select an answer first - 2
A software company is building a RAG application to help developers use their internal API. They have the official API reference documentation (HTML), a set of code examples on a public GitHub repository, and a collection of internal Slack conversations about common issues. What is the most appropriate primary source for the knowledge base?
Select an answer first - 3
A RAG application must answer customer questions about product specifications. Which of the following is a valid source document type for this knowledge base?
Select an answer first - 4
A RAG application is being developed for a legal firm to answer questions about contract clauses. The firm has a repository of past contracts, but they are in various formats (PDF, Word, scanned images). The application must provide accurate answers about specific clauses. What is the most critical step in preparing these source documents?
Select an answer first - 5
A RAG application is being built to answer questions about a company's product return policy. The team has two sources: the official policy document on the company website and a customer service representative's personal notes on how they handle returns. Which source should be the primary knowledge base?
Select an answer first
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