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

1. The model flags anomalies in logs and also proposes partitions for input validation tests. Which metrics BEST evaluate these two outcomes together?

A) Time efficiency for anomaly detection and accuracy for coverage of valid/invalid partitions
B) Accuracy for anomaly detection and Precision for coverage of valid/invalid partitions
C) Diversity for anomaly identification and precision for partitions
D) Precision for anomaly identification and recall for coverage of valid/invalid partitions

2. Who typically defines the system prompt in a testing workflow?

A) CI server automatically without human input
B) End user during normal chat use
C) Product owner in user stories only
D) A tester configuring the assistant

3. 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) Include references to version control systems like Git in the constraints.
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) Specify that the role is a test architect specializing in CI/CD pipelines.

4. In the context of software testing, which statements (i-v) about foundation, instruction-tuned, and reasoning LLMs are CORRECT?
i. Foundation LLMs are best suited for broad exploratory ideation when test requirements are underspecified.
ii. Instruction-tuned LLMs are strongest at adhering to fixed test case formats (e.g., Gherkin) from clear prompts.
iii. Reasoning LLMs are strongest at multi-step root-cause analysis across logs, defects, and requirements.
iv. Foundation LLMs are optimal for strict policy compliance and template conformance.
v. Instruction-tuned LLMs can follow stepwise reasoning without any additional training or prompting.

A) i, ii, iii
B) i, ii, iii (Duplicate entry in original source)
C) i, iii, v
D) ii, iii, iv

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

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

Solutions: