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

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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. A prompt section states: "Web checkout module v3.2; focus on coupon application; existing regression suite IDs T-112-T-150; recent defect ID BUG-431." Which component is this?

A) Input data
B) Instruction
C) Output format
D) Constraints

2. 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

3. 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) Prompt chaining
B) Zero-shot prompting
C) Meta prompting
D) Few-shot prompting

4. In the context of software testing, which statements (i-v) about foundation, instruction-tuned, and reasoning LLMs are CORRECT?
i. Foundation LLMs are best suited for broad exploratory ideation when test requirements are underspecified.
ii. Instruction-tuned LLMs are strongest at adhering to fixed test case formats (e.g., Gherkin) from clear prompts.
iii. Reasoning LLMs are strongest at multi-step root-cause analysis across logs, defects, and requirements.
iv. Foundation LLMs are optimal for strict policy compliance and template conformance.
v. Instruction-tuned LLMs can follow stepwise reasoning without any additional training or prompting.

A) i, ii, iii
B) i, iii, v
C) ii, iii, iv
D) i, ii, iii (Duplicate entry in original source)

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) Maintaining data privacy and minimizing security risks from external services
C) Maximizing scalability by deploying larger cloud-based LLM clusters
D) Achieving faster responses by reducing model checkpoints and updates

Solutions: