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

1. Which competency MOST helps testers steer LLMs to produce useful, on-policy testware?

A) Configuring network routers
B) Designing custom CPU instructions
C) Writing low-level device drivers
D) Mastering prompt engineering

2. Which factor MOST influences the overall energy consumption of a Generative AI model used in software testing tasks?

A) The number of tokens processed directly determines the carbon intensity of each query
B) The duration of user sessions primarily affects latency but not power efficiency
C) The location of the data center determines model bias and accuracy levels
D) The type of cloud platform affects processing speed but not total energy draw

3. What is a primary compliance concern related to Shadow AI in organizational test environments?

A) Failure to update system documentation within the test process
B) Automated compliance validation during AI tool deployment
C) Violation of established data handling and regulatory compliance standards
D) Difficulty in aligning project milestones with business outcomes

4. 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 enhances relevance to organizational terminology and formats
C) It replaces the model's general knowledge entirely and prevents overfitting
D) It can be applied to smaller SLMs to improve task performance with lower compute

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

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

Solutions: