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1. 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) Applying a reusable and structured template that guides GenAI models toward consistent outputs
D) Maintaining static documentation repositories without real-time prompt standardization processes
2. Which statement BEST differentiates an LLM-powered test infrastructure from a traditional chatbot system used in testing?
A) It provides fixed responses from predefined rule sets and scripts
B) It dynamically generates test insights using contextual information
C) It focuses primarily on visual dashboards and user navigation features
D) It produces scripted conversational responses similar to traditional bots
3. Which option BEST differentiates the three prompting techniques?
A) Chaining = give examples; Few-shot = break tasks; Meta = manual edits only
B) Few-shot = no examples; Chaining = single prompt; Meta = disable iteration
C) Few-shot = examples; Chaining = multi-step prompts; Meta = model helps draft/refine prompts
D) Meta = step decomposition; Chaining = zero-shot only; Few-shot = manual optimization
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 (Duplicate entry in original source)
B) i, iii, v
C) i, ii, iii
D) ii, iii, iv
5. Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?
A) Using GenAI without regulatory compliance can lead to legal exposure
B) Some GenAI tools may store/process data without explicit consent
C) GenAI outputs can accidentally reveal sensitive information present in inputs
D) Strict GDPR compliance eliminates all privacy risk
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: D |
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