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ISQI CT-GenAI Exam Syllabus Topics:

ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:

Question 1

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. Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
C. Include references to version control systems like Git in the constraints.
D. Add a step to review the change log for syntax errors before analysis.

Question 2

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 poisoning
D. Data exfiltration

Question 3

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. A/B testing of prompts
B. Integrating user feedback
C. Iterative prompt modification
D. Output analysis

Question 4

What is a key data-related aspect when defining a GenAI strategy for testing?

A. Neglect legacy data sources as they provide limited immediate relevance to testing tasks
B. Use only auto-generated synthetic data to avoid dependency on enterprise repositories
C. Prioritize accurate and relevant input data secured through defined quality procedures
D. Aggregate data from all available organizational repositories without filtration

Question 5

When an organization uses an AI chatbot for testing, what is the PRIMARY LLMOps concern?

A. Focusing primarily on user experience improvements and response formatting
B. Achieving faster responses by reducing model checkpoints and updates
C. Maximizing scalability by deploying larger cloud-based LLM clusters
D. Maintaining data privacy and minimizing security risks from external services

Solutions: