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ISQI CT-GenAI Exam Syllabus Topics:

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

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

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

2. What defines a prompt pattern in the context of structured GenAI capability building?

A) Using ad hoc prompts without reference to previously proven structures or examples
B) Treating prompts as access credentials or compliance records rather than functional templates
C) Applying a reusable and structured template that guides GenAI models toward consistent outputs
D) Maintaining static documentation repositories without real-time prompt standardization processes

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

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

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

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

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

Solutions: