A RAG system for test analysis is slow because it retrieves too many documents. What is the most effective way to reduce latency without significantly harming retrieval quality?

Reduce the number of retrieved documents (e.g., from 10 to 3).

Which of the following is an example of applying RAG in a test infrastructure?

An LLM that retrieves relevant defect reports to explain a test failure

A code formatter that enforces style rules

A test runner that executes test cases in parallel

A CI/CD pipeline that deploys code to staging

What is the purpose of adding retrieved context to a prompt in a RAG-based test analysis tool?

To make the prompt longer so the model takes more time

To provide the LLM with relevant information to generate accurate and context-aware analysis

To increase the token count of the prompt for better performance

To replace the need for a vector database

A team is building a RAG system for test documentation. They notice that the retriever often returns chunks that are only partially relevant, leading to poor generation. What is the most effective mitigation?

Use a larger chunk size to provide more context.

Use a different embedding model.

Increase the number of retrieved documents.

Use a smaller chunk size to increase precision.

Certified Tester Testing with Generative AI

Domain 4Objective 2

Retrieval-Augmented Generation CT-GENAI Practice Questions (Page 5)

Part of the LLM-Powered Test Infrastructure for Software Testing domain, which makes up ~18% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~5–7 in this domain), expect 1–1 from this objective — we provide 28 practice questions to prepare you well beyond it. (estimate)

28questions here

6free pages

7concepts

Questions 21–25

21application · medium
A RAG system for test analysis is slow because it retrieves too many documents. What is the most effective way to reduce latency without significantly harming retrieval quality?
Select an answer first
22foundation · easy
Which of the following is an example of applying RAG in a test infrastructure?
Select an answer first
23foundation · easy
What is the purpose of adding retrieved context to a prompt in a RAG-based test analysis tool?
Select an answer first
24expert · hard
A team is building a RAG system for test documentation. They notice that the retriever often returns chunks that are only partially relevant, leading to poor generation. What is the most effective mitigation?
Select an answer first
25foundation · easy
Which retrieval technique is most suitable when a tester needs to find documents containing exact terms like a specific error code or function name?
Select an answer first

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