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

1. Which option BEST differentiates the three prompting techniques?

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

2. Which factor MOST influences the overall energy consumption of a Generative AI model used in software testing tasks?

A) The type of cloud platform affects processing speed but not total energy draw
B) The location of the data center determines model bias and accuracy levels
C) The number of tokens processed directly determines the carbon intensity of each query
D) The duration of user sessions primarily affects latency but not power efficiency

3. Your team needs to generate 500 API test cases for a REST API with 50 endpoints. You have documented 10 exemplar test cases that follow your organization's standard format. You want the LLM to generate test cases following the pattern demonstrated in your examples. Which of the following prompting techniques is BEST suited to achieve your goal in this scenario?

A) Meta prompting
B) Few-shot prompting
C) Zero-shot prompting
D) Prompt chaining

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

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

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

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

Solutions: