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

1. A team notices vague, inconsistent LLM outputs for the same story for two different prompts. Which technique BEST helps choose the stronger wording among two prompt versions using predefined metrics?

A) Iterative prompt modification
B) Output analysis
C) A/B testing of prompts
D) Integrating user feedback

2. 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) iv -> iii -> i -> ii
B) iii -> iv -> i -> ii
C) i -> iv -> iii -> ii
D) iv -> i -> iii -> ii

3. What does an embedding represent in an LLM?

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

4. What BEST protects sensitive test data at rest and in transit?

A) Rely on obfuscation instead of encryption
B) Enforce role-based access controls
C) Use public file shares with read-only links
D) Disable TLS and rely on VPN only

5. A prompt section states: "Web checkout module v3.2; focus on coupon application; existing regression suite IDs T-112-T-150; recent defect ID BUG-431." Which component is this?

A) Input data
B) Output format
C) Constraints
D) Instruction

Solutions: