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ISQI CT-GenAI Exam Syllabus Topics:

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

1. Which statement about fine-tuning for test tasks is INCORRECT?

A) It can be applied to smaller SLMs to improve task performance with lower compute
B) It enhances relevance to organizational terminology and formats
C) It replaces the model's general knowledge entirely and prevents overfitting
D) It adapts a pre-trained model to a domain using task-specific data

2. Which technique MOST directly reduces hallucinations by grounding the model in project realities?

A) Provide detailed context
B) Randomize prompts each run
C) Use longer temperature settings
D) Rely on generic examples only

3. A prompt begins: "You are a senior test manager responsible for risk-based test planning on a payments platform." Which component is this?

A) Instruction
B) Role
C) Context
D) Constraints

4. What is a hallucination in LLM outputs?

A) A systematic preference learned from data
B) A logical mistake in multi-step deduction
C) A transient network failure during inference
D) Generation of factually incorrect content for the task

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) Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
B) Expand the output format to include risk predictions with severity levels, recommended actions, and a timeline for team intervention based on trend analysis.
C) Specify that the role is a test analyst with expertise in predictive analytics and risk management.
D) Add an instruction to calculate statistical variance and highlight tests that deviate by more than 20% from baseline metrics.

Solutions: