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

1. Which setting can reduce variability by narrowing the sampling distribution during inference?

A) Increasing learning rate
B) Increasing temperature
C) Lowering temperature
D) Using a larger context window

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

3. When an organization uses an AI chatbot for testing, what is the PRIMARY LLMOps concern?

A) Achieving faster responses by reducing model checkpoints and updates
B) Focusing primarily on user experience improvements and response formatting
C) Maintaining data privacy and minimizing security risks from external services
D) Maximizing scalability by deploying larger cloud-based LLM clusters

4. Which competency MOST helps testers steer LLMs to produce useful, on-policy testware?

A) Configuring network routers
B) Mastering prompt engineering
C) Writing low-level device drivers
D) Designing custom CPU instructions

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) Instruction
C) Constraints
D) Output format

Solutions: