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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) Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
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) Add an instruction to calculate statistical variance and highlight tests that deviate by more than 20% from baseline metrics.
D) Specify that the role is a test analyst with expertise in predictive analytics and risk management.

2. Which option BEST differentiates the three prompting techniques?

A) Chaining = give examples; Few-shot = break tasks; Meta = manual edits only
B) Few-shot = examples; Chaining = multi-step prompts; Meta = model helps draft/refine prompts
C) Few-shot = no examples; Chaining = single prompt; Meta = disable iteration
D) Meta = step decomposition; Chaining = zero-shot only; Few-shot = manual optimization

3. Which standard specifies requirements for managing AI systems within an organization, supporting consistent GenAI use in testing?

A) ISO/IEC 42001:2023
B) ISO/IEC 23053:2022
C) NIST AI RMF 1.0
D) EU AI Act

4. You are tasked with applying structured prompting to perform impact analysis on recent code changes. Which of the following improvements would BEST align the prompt with structured prompt engineering best practices for comprehensive impact analysis?

A) Specify that the role is a test architect specializing in CI/CD pipelines.
B) Add a step to review the change log for syntax errors before analysis.
C) Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
D) Include references to version control systems like Git in the constraints.

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

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

Solutions: