ISQI CT-GenAI

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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 data privacy risks in GenAI-assisted testing is INCORRECT?

A) Strict GDPR compliance eliminates all privacy risk
B) Using GenAI without regulatory compliance can lead to legal exposure
C) Some GenAI tools may store/process data without explicit consent
D) GenAI outputs can accidentally reveal sensitive information present in inputs

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

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

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

4. What BEST protects sensitive test data at rest and in transit?

A) Rely on obfuscation instead of encryption
B) Enforce role-based access controls
C) Disable TLS and rely on VPN only
D) Use public file shares with read-only links

5. Which concept refers to breaking text into smaller units for processing by LLMs?

A) Context Window
B) Tokenization
C) Transformer
D) Embeddings

Solutions: