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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing Activities for Generative AI | 30% | - Model and Output Evaluation
|
| Topic 2: Tools for Testing Generative AI | 20% | - Using Tools for Common Testing Activities
|
| Topic 3: Risks and Testing Challenges for Generative AI | 30% | - Testing Challenges for Generative AI
|
| Topic 4: Fundamentals of Generative AI | 20% | - AI Terminology
|
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
Question 1
Your team needs to generate 500 API test cases for a REST API with 50 endpoints. You have documented 10 exemplar test cases that follow your organization's standard format. You want the LLM to generate test cases following the pattern demonstrated in your examples. Which of the following prompting techniques is BEST suited to achieve your goal in this scenario?
A. Zero-shot prompting
B. Prompt chaining
C. Few-shot prompting
D. Meta prompting
Question 2
What defines a prompt pattern in the context of structured GenAI capability building?
A. Treating prompts as access credentials or compliance records rather than functional templates
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. Applying a reusable and structured template that guides GenAI models toward consistent outputs
Question 3
Which competency MOST helps testers steer LLMs to produce useful, on-policy testware?
A. Writing low-level device drivers
B. Configuring network routers
C. Mastering prompt engineering
D. Designing custom CPU instructions
Question 4
What is a hallucination in LLM outputs?
A. A systematic preference learned from data
B. A transient network failure during inference
C. Generation of factually incorrect content for the task
D. A logical mistake in multi-step deduction
Question 5
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. Add an instruction to calculate statistical variance and highlight tests that deviate by more than 20% from baseline metrics.
C. Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
D. Specify that the role is a test analyst with expertise in predictive analytics and risk management.
Solutions:
| Question 1 Answer: C | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: C | Question 5 Answer: A |
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