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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 - Iterative refinement and evaluation of prompts - Principles and structure of effective prompts |
| Topic 2: Managing Risks of Generative AI in Software Testing | 25% | - Data privacy, security, and compliance concerns - Validation, verification, and mitigation strategies - Hallucinations, bias, inaccuracy, and consistency risks |
| Topic 3: Deploying and Integrating GenAI in Test Organisations | 15% | - Roles, skills, and team readiness - Strategy, governance, and adoption roadmap - Measuring value and continuous improvement |
| Topic 4: LLM-Powered Test Infrastructure | 10% | - Architecture and deployment considerations - AI agents and integration with test tools - RAG, fine-tuning, and model adaptation |
| Topic 5: 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 |
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
Question 1
A tester uploads crafted images that steer the LLM into validating non-existent acceptance criteria. Which attack vector is this?
A. Request manipulation
B. Malicious code generation
C. Data exfiltration
D. Data poisoning
Question 2
Which setting can reduce variability by narrowing the sampling distribution during inference?
A. Increasing learning rate
B. Using a larger context window
C. Increasing temperature
D. Lowering temperature
Question 3
Which statement BEST differentiates an LLM-powered test infrastructure from a traditional chatbot system used in testing?
A. It produces scripted conversational responses similar to traditional bots
B. It provides fixed responses from predefined rule sets and scripts
C. It dynamically generates test insights using contextual information
D. It focuses primarily on visual dashboards and user navigation features
Question 4
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. 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. Include references to version control systems like Git in the constraints.
Question 5
What defines a prompt pattern in the context of structured GenAI capability building?
A. Maintaining static documentation repositories without real-time prompt standardization processes
B. Applying a reusable and structured template that guides GenAI models toward consistent outputs
C. Using ad hoc prompts without reference to previously proven structures or examples
D. Treating prompts as access credentials or compliance records rather than functional templates
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: C | Question 5 Answer: B |




