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

1. You must generate test cases for a new payments rule. The system includes API specifications stored in a vector database and prior tests in a relational database. Which of the following sequences BEST represents the correct order for applying a Retrieval-Augmented Generation (RAG) workflow?
i. Retrieve semantically similar specification chunks from the vector database ii. Feed both retrieved datasets as context for the LLM to generate new test cases iii. Retrieve relevant historical cases from the relational database iv. Submit a focused query describing the new test requirement

A) iv -> iii -> i -> ii
B) iv -> i -> iii -> ii
C) iii -> iv -> i -> ii
D) i -> iv -> iii -> ii

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

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

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

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

4. What is a hallucination in LLM outputs?

A) A transient network failure during inference
B) A systematic preference learned from data
C) A logical mistake in multi-step deduction
D) Generation of factually incorrect content for the task

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

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

Solutions: