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

1. Which consideration BEST aligns LLM choice with organizational goals in a GenAI testing strategy?

A) Select open-source models prioritizing creativity over compliance or performance consistency
B) Select broad-coverage models offering diverse functionalities for various test scenarios
C) Select LLMs aligned to measurable test outcomes, compatible with current infrastructure
D) Select models with maximum vendor visibility and strong online presence to ensure reliability

2. Which statement BEST describes vision-language models (VLMs)?

A) VLMs are unrelated to multimodal LLMs and focus only on UI automation.
B) VLMs are a superset of multimodal LLMs.
C) VLMs are a subset of multimodal LLMs integrating visual and textual information.
D) VLMs process audio and video but not images.

3. 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

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

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

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

Solutions: