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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering for Effective Software Testing | 35% | - Prompt patterns for test design, data generation, automation - Principles and structure of effective prompts - Iterative refinement and evaluation of prompts |
| Topic 2: Introduction to Generative AI for Software Testing | 15% | - Capabilities and limitations relevant to testing - Core concepts: Generative AI, LLMs, foundation models - Use cases across the testing lifecycle |
| Topic 3: Managing Risks of Generative AI in Software Testing | 25% | - Hallucinations, bias, inaccuracy, and consistency risks - Data privacy, security, and compliance concerns - Validation, verification, and mitigation strategies |
| Topic 4: LLM-Powered Test Infrastructure | 10% | - AI agents and integration with test tools - RAG, fine-tuning, and model adaptation - Architecture and deployment considerations |
| Topic 5: Deploying and Integrating GenAI in Test Organisations | 15% | - Measuring value and continuous improvement - Strategy, governance, and adoption roadmap - Roles, skills, and team readiness |
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
Which option BEST differentiates the three prompting techniques?
- A. Few-shot = no examples; Chaining = single prompt; Meta = disable iteration
- B. Chaining = give examples; Few-shot = break tasks; Meta = manual edits only
- C. Few-shot = examples; Chaining = multi-step prompts; Meta = model helps draft/refine prompts
- D. Meta = step decomposition; Chaining = zero-shot only; Few-shot = manual optimization
Correct Answer: C 🗳️
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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. 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.
Correct Answer: C 🗳️
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Which consideration BEST aligns LLM choice with organizational goals in a GenAI testing strategy?
- A. Select open-source models prioritizing creativity over compliance or performance consistency
- B. Select broad-coverage models offering diverse functionalities for various test scenarios
- C. Select models with maximum vendor visibility and strong online presence to ensure reliability
- D. Select LLMs aligned to measurable test outcomes, compatible with current infrastructure
Correct Answer: D 🗳️
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What is a primary compliance concern related to Shadow AI in organizational test environments?
- A. Failure to update system documentation within the test process
- B. Automated compliance validation during AI tool deployment
- C. Violation of established data handling and regulatory compliance standards
- D. Difficulty in aligning project milestones with business outcomes
Correct Answer: C 🗳️
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What distinguishes an LLM-powered agent from a basic AI chatbot in test processes?
- A. Reliance on predefined templates to generate short, factual answers
- B. Ability to trigger automated actions beyond conversation
- C. Use of a conversational tone and improved response personalization
- D. Ability to respond to prompts without explicit user instructions
Correct Answer: B 🗳️
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