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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) Diversity for anomaly identification and precision for partitions
C) Accuracy for anomaly detection and Precision for coverage of valid/invalid partitions
D) Precision for anomaly identification and recall for coverage of valid/invalid partitions

2. Which statement BEST contrasts interaction style and scope?

A) Chatbots require API integration; LLM apps do not.
B) Chatbots enable conversational interactions; LLM apps provide capabilities for defined test tasks.
C) Both are identical aside from UI theme.
D) Chatbots enforce fixed workflows; LLM apps support free-form exploration beneficial for software testing

3. Which technique MOST directly reduces hallucinations by grounding the model in project realities?

A) Use longer temperature settings
B) Rely on generic examples only
C) Provide detailed context
D) Randomize prompts each run

4. Which of the following is NOT a valid form of LLM-driven test data generation?

A) Creating production database backups
B) Creating combinatorial data (e.g., pairwise)
C) Setting boundary values
D) Generating synthetic datasets

5. You must use GenAI to perform test analysis on a payments module with finalized requirements: (1) generate test conditions, (2) prioritize by risk, (3) check coverage gaps. Which sequence best applies prompt chaining?

A) Generate conditions -> prioritize by risk -> map to requirements to find gaps
B) Prioritize requirements -> generate conditions -> review defects
C) Generate prioritized conditions in one shot -> verify coverage
D) Detect requirement defects -> generate conditions -> prioritize

Solutions: