Exam Name: ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0
Certification Provider: ISQI
Corresponding Certification: AI Testing
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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Deploying and Integrating GenAI in Test Organisations | 15% | - Strategy, governance, and adoption roadmap - Roles, skills, and team readiness - Measuring value and continuous improvement |
| Prompt Engineering for Effective Software Testing | 35% | - Principles and structure of effective prompts - Prompt patterns for test design, data generation, automation - Iterative refinement and evaluation of prompts |
| Managing Risks of Generative AI in Software Testing | 25% | - Validation, verification, and mitigation strategies - Data privacy, security, and compliance concerns - Hallucinations, bias, inaccuracy, and consistency risks |
| 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 |
| LLM-Powered Test Infrastructure | 10% | - AI agents and integration with test tools - RAG, fine-tuning, and model adaptation - Architecture and deployment considerations |
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
Which technique MOST directly reduces hallucinations by grounding the model in project realities?
- A. Use longer temperature settings
- B. Provide detailed context
- C. Rely on generic examples only
- D. Randomize prompts each run
Correct Answer: B 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
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. Specify that the role is a test architect specializing in CI/CD pipelines.
- C. Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
- D. Add a step to review the change log for syntax errors before analysis.
Correct Answer: C 🗳️
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 prioritized conditions in one shot -> verify coverage
- B. Prioritize requirements -> generate conditions -> review defects
- C. Generate conditions -> prioritize by risk -> map to requirements to find gaps
- D. Detect requirement defects -> generate conditions -> prioritize
Correct Answer: C 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
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. Specify that the role is a test architect specializing in CI/CD pipelines.
- C. Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
- D. Add a step to review the change log for syntax errors before analysis.
Correct Answer: C 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
Which of the following is NOT a valid form of LLM-driven test data generation?
- A. Creating combinatorial data (e.g., pairwise)
- B. Generating synthetic datasets
- C. Creating production database backups
- D. Setting boundary values
Correct Answer: C 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
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