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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| LLM-Powered Test Infrastructure | 10% | - RAG, fine-tuning, and model adaptation - AI agents and integration with test tools - Architecture and deployment considerations |
| Prompt Engineering for Effective Software Testing | 35% | - Principles and structure of effective prompts - Iterative refinement and evaluation of prompts - Prompt patterns for test design, data generation, automation |
| Deploying and Integrating GenAI in Test Organisations | 15% | - Measuring value and continuous improvement - Strategy, governance, and adoption roadmap - Roles, skills, and team readiness |
| Introduction to Generative AI for Software Testing | 15% | - Use cases across the testing lifecycle - Capabilities and limitations relevant to testing - Core concepts: Generative AI, LLMs, foundation models |
| Managing Risks of Generative AI in Software Testing | 25% | - Hallucinations, bias, inaccuracy, and consistency risks - Validation, verification, and mitigation strategies - Data privacy, security, and compliance concerns |
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
1. 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 conditions -> prioritize by risk -> map to requirements to find gaps
B) Prioritize requirements -> generate conditions -> review defects
C) Generate prioritized conditions in one shot -> verify coverage
D) Detect requirement defects -> generate conditions -> prioritize
2. What defines a prompt pattern in the context of structured GenAI capability building?
A) Applying a reusable and structured template that guides GenAI models toward consistent outputs
B) Using ad hoc prompts without reference to previously proven structures or examples
C) Maintaining static documentation repositories without real-time prompt standardization processes
D) Treating prompts as access credentials or compliance records rather than functional templates
3. 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) Add a step to review the change log for syntax errors before analysis.
B) Include references to version control systems like Git in the constraints.
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.
4. You are using an LLM to assist in analyzing test execution trends to predict potential risks. Which of the following improvements would BEST enhance the LLM's ability to predict risks and provide actionable alerts?
A) Expand the output format to include risk predictions with severity levels, recommended actions, and a timeline for team intervention based on trend analysis.
B) Specify that the role is a test analyst with expertise in predictive analytics and risk management.
C) Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
D) Add an instruction to calculate statistical variance and highlight tests that deviate by more than 20% from baseline metrics.
5. What are the three key phases in adopting GenAI in a test organization?
A) Planning; execution; sign-off
B) Training; certification; outsourcing
C) Prototype; pilot; decommission
D) Discovery; initiation and usage definition; utilization and iteration
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: D |
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