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

1. What is a key data-related aspect when defining a GenAI strategy for testing?

A) Use only auto-generated synthetic data to avoid dependency on enterprise repositories
B) Neglect legacy data sources as they provide limited immediate relevance to testing tasks
C) Aggregate data from all available organizational repositories without filtration
D) Prioritize accurate and relevant input data secured through defined quality procedures

2. How do tester responsibilities MOSTLY evolve when integrating GenAI into test processes?

A) Replacing existing test coverage validation with automated summary reports generated by AI
B) Shifting from test execution toward reviewing, refining, and validating AI-generated testware
C) Moving from black-box exploratory testing toward exclusively performing code-based white-box checks
D) Transitioning from manual execution to complete automation with no human oversight

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

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

4. Which statement about fine-tuning for test tasks is INCORRECT?

A) It adapts a pre-trained model to a domain using task-specific data
B) It replaces the model's general knowledge entirely and prevents overfitting
C) It can be applied to smaller SLMs to improve task performance with lower compute
D) It enhances relevance to organizational terminology and formats

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

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

Solutions: