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

1. An attacker sends extremely long prompts to overflow context so the model leaks snippets from its training data. Which attack vector is this?

A) Request manipulation
B) Data poisoning
C) Malicious code generation
D) Data exfiltration

2. What defines a prompt pattern in the context of structured GenAI capability building?

A) Applying a reusable and structured template that guides GenAI models toward consistent outputs
B) Maintaining static documentation repositories without real-time prompt standardization processes
C) Treating prompts as access credentials or compliance records rather than functional templates
D) Using ad hoc prompts without reference to previously proven structures or examples

3. 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, ii, iii (Duplicate entry in original source)
C) i, iii, v
D) ii, iii, iv

4. You are tasked with applying structured prompting to perform impact analysis on recent code changes. Which of the following improvements would BEST align the prompt with structured prompt engineering best practices for comprehensive impact analysis?

A) Add a step to review the change log for syntax errors before analysis.
B) Specify that the role is a test architect specializing in CI/CD pipelines.
C) Include references to version control systems like Git in the constraints.
D) Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity

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

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

Solutions: