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ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:

1. You must generate test cases for a new payments rule. The system includes API specifications stored in a vector database and prior tests in a relational database. Which of the following sequences BEST represents the correct order for applying a Retrieval-Augmented Generation (RAG) workflow?
i. Retrieve semantically similar specification chunks from the vector database ii. Feed both retrieved datasets as context for the LLM to generate new test cases iii. Retrieve relevant historical cases from the relational database iv. Submit a focused query describing the new test requirement

A) iii -> iv -> i -> ii
B) iv -> i -> iii -> ii
C) iv -> iii -> i -> ii
D) i -> iv -> iii -> ii

2. Which concept refers to breaking text into smaller units for processing by LLMs?

A) Tokenization
B) Embeddings
C) Transformer
D) Context Window

3. Which statement BEST describes vision-language models (VLMs)?

A) VLMs are unrelated to multimodal LLMs and focus only on UI automation.
B) VLMs are a superset of multimodal LLMs.
C) VLMs are a subset of multimodal LLMs integrating visual and textual information.
D) VLMs process audio and video but not images.

4. An LLM prioritizes tests using likelihood X impact but ranks a trivial tooltip change above a payment failure.
What defect does this MOST LIKELY show?

A) Hallucination
B) Dataset bias toward UI features
C) No defect; this is acceptable
D) Reasoning error in risk calculation logic

5. What does an embedding represent in an LLM?

A) Numerical vectors capturing semantic relationships
B) Tokens grouped into context windows
C) A set of test cases for validation
D) Logical rules for reasoning

Solutions: