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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Deploying and Integrating GenAI in Test Organisations | 15% | - Measuring value and continuous improvement - Strategy, governance, and adoption roadmap - Roles, skills, and team readiness |
| Topic 3: Managing Risks of Generative AI in Software Testing | 25% | - Data privacy, security, and compliance concerns - Hallucinations, bias, inaccuracy, and consistency risks - Validation, verification, and mitigation strategies |
| Topic 4: 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 5: LLM-Powered Test Infrastructure | 10% | - Architecture and deployment considerations - AI agents and integration with test tools - RAG, fine-tuning, and model adaptation |
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
A prompt section states: "Web checkout module v3.2; focus on coupon application; existing regression suite IDs T-112-T-150; recent defect ID BUG-431." Which component is this?
- A. Input data
- B. Instruction
- C. Constraints
- D. Output format
Correct Answer: A 🗳️
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A team notices vague, inconsistent LLM outputs for the same story for two different prompts. Which technique BEST helps choose the stronger wording among two prompt versions using predefined metrics?
- A. Iterative prompt modification
- B. A/B testing of prompts
- C. Integrating user feedback
- D. Output analysis
Correct Answer: B 🗳️
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Which statement BEST describes vision-language models (VLMs)?
- A. VLMs process audio and video but not images.
- B. VLMs are a subset of multimodal LLMs integrating visual and textual information.
- C. VLMs are unrelated to multimodal LLMs and focus only on UI automation.
- D. VLMs are a superset of multimodal LLMs.
Correct Answer: B 🗳️
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How do tester responsibilities MOSTLY evolve when integrating GenAI into test processes?
- A. Shifting from test execution toward reviewing, refining, and validating AI-generated testware
- B. Moving from black-box exploratory testing toward exclusively performing code-based white-box checks
- C. Replacing existing test coverage validation with automated summary reports generated by AI
- D. Transitioning from manual execution to complete automation with no human oversight
Correct Answer: A 🗳️
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In the context of software testing, which statements (i-v) about foundation, instruction-tuned, and reasoning LLMs are CORRECT?
i. Foundation LLMs are best suited for broad exploratory ideation when test requirements are underspecified.
ii. Instruction-tuned LLMs are strongest at adhering to fixed test case formats (e.g., Gherkin) from clear prompts.
iii. Reasoning LLMs are strongest at multi-step root-cause analysis across logs, defects, and requirements.
iv. Foundation LLMs are optimal for strict policy compliance and template conformance.
v. Instruction-tuned LLMs can follow stepwise reasoning without any additional training or prompting.
- A. ii, iii, iv
- B. i, ii, iii
- C. i, iii, v
- D. i, ii, iii (Duplicate entry in original source)
Correct Answer: B 🗳️
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