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

1. You are using an LLM to assist in analyzing test execution trends to predict potential risks. Which of the following improvements would BEST enhance the LLM's ability to predict risks and provide actionable alerts?

A) Specify that the role is a test analyst with expertise in predictive analytics and risk management.
B) Expand the output format to include risk predictions with severity levels, recommended actions, and a timeline for team intervention based on trend analysis.
C) Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
D) Add an instruction to calculate statistical variance and highlight tests that deviate by more than 20% from baseline metrics.

2. 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) Integrating user feedback
C) A/B testing of prompts
D) Output analysis

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

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

4. Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?

A) Strict GDPR compliance eliminates all privacy risk
B) GenAI outputs can accidentally reveal sensitive information present in inputs
C) Some GenAI tools may store/process data without explicit consent
D) Using GenAI without regulatory compliance can lead to legal exposure

5. Which statement BEST differentiates an LLM-powered test infrastructure from a traditional chatbot system used in testing?

A) It provides fixed responses from predefined rule sets and scripts
B) It dynamically generates test insights using contextual information
C) It focuses primarily on visual dashboards and user navigation features
D) It produces scripted conversational responses similar to traditional bots

Solutions: