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

1. What are the three key phases in adopting GenAI in a test organization?

A) Prototype; pilot; decommission
B) Discovery; initiation and usage definition; utilization and iteration
C) Planning; execution; sign-off
D) Training; certification; outsourcing

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

3. Which AI approach requires feature engineering and structured data preparation?

A) Deep Learning
B) Classical Machine Learning
C) Symbolic AI
D) Generative AI

4. Your team needs to generate 500 API test cases for a REST API with 50 endpoints. You have documented 10 exemplar test cases that follow your organization's standard format. You want the LLM to generate test cases following the pattern demonstrated in your examples. Which of the following prompting techniques is BEST suited to achieve your goal in this scenario?

A) Prompt chaining
B) Zero-shot prompting
C) Few-shot prompting
D) Meta prompting

5. You must use GenAI to perform test analysis on a payments module with finalized requirements: (1) generate test conditions, (2) prioritize by risk, (3) check coverage gaps. Which sequence best applies prompt chaining?

A) Generate prioritized conditions in one shot -> verify coverage
B) Prioritize requirements -> generate conditions -> review defects
C) Generate conditions -> prioritize by risk -> map to requirements to find gaps
D) Detect requirement defects -> generate conditions -> prioritize

Solutions: