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ISQI CT-GenAI Actual Tests : ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0
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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction to Generative AI for Software Testing | 15% | - Capabilities and limitations relevant to testing - Use cases across the testing lifecycle - Core concepts: Generative AI, LLMs, foundation models |
| Topic 2: Deploying and Integrating GenAI in Test Organisations | 15% | - Strategy, governance, and adoption roadmap - Roles, skills, and team readiness - Measuring value and continuous improvement |
| Topic 3: Prompt Engineering for Effective Software Testing | 35% | - Iterative refinement and evaluation of prompts - Principles and structure of effective prompts - Prompt patterns for test design, data generation, automation |
| Topic 4: LLM-Powered Test Infrastructure | 10% | - Architecture and deployment considerations - RAG, fine-tuning, and model adaptation - AI agents and integration with test tools |
| Topic 5: Managing Risks of Generative AI in Software Testing | 25% | - Validation, verification, and mitigation strategies - Hallucinations, bias, inaccuracy, and consistency risks - Data privacy, security, and compliance concerns |
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
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
Correct Answer: A 🗳️
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How do tester responsibilities MOSTLY evolve when integrating GenAI into test processes?
- A. Moving from black-box exploratory testing toward exclusively performing code-based white-box checks
- B. Transitioning from manual execution to complete automation with no human oversight
- C. Replacing existing test coverage validation with automated summary reports generated by AI
- D. Shifting from test execution toward reviewing, refining, and validating AI-generated testware
Correct Answer: D 🗳️
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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. Specify that the role is a test architect specializing in CI/CD pipelines.
- B. Include references to version control systems like Git in the constraints.
- C. Add a step to review the change log for syntax errors before analysis.
- D. Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
Correct Answer: D 🗳️
Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?
- A. Strict GDPR compliance eliminates all privacy risk
- B. Some GenAI tools may store/process data without explicit consent
- C. GenAI outputs can accidentally reveal sensitive information present in inputs
- D. Using GenAI without regulatory compliance can lead to legal exposure
Correct Answer: A 🗳️
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An LLM prioritizes tests using likelihood X impact but ranks a trivial tooltip change above a payment failure.
What defect does this MOST LIKELY show?
- A. Reasoning error in risk calculation logic
- B. Hallucination
- C. Dataset bias toward UI features
- D. No defect; this is acceptable
Correct Answer: A 🗳️
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