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

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

2. Which technique MOST directly reduces hallucinations by grounding the model in project realities?

A) Use longer temperature settings
B) Randomize prompts each run
C) Provide detailed context
D) Rely on generic examples only

3. Who typically defines the system prompt in a testing workflow?

A) A tester configuring the assistant
B) Product owner in user stories only
C) CI server automatically without human input
D) End user during normal chat use

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

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

5. 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) Use public file shares with read-only links
D) Disable TLS and rely on VPN only

Solutions: