Last Updated: Jul 31, 2026
No. of Questions: 42 Questions & Answers with Testing Engine
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| Section | Objectives |
|---|---|
| Foundations of Generative AI and LLMs | - Introduction to Generative AI in Software Testing
|
| Application of GenAI in Software Testing | - Practical use in testing workflows
|
| Risk, Quality, and Limitations of GenAI | - Risks in GenAI usage
|
| Organizational Adoption and Governance | - Enterprise GenAI adoption
|
| Prompt Engineering for Testing | - Prompt design techniques
|
1. What are the three key phases in adopting GenAI in a test organization?
A) Training; certification; outsourcing
B) Discovery; initiation and usage definition; utilization and iteration
C) Prototype; pilot; decommission
D) Planning; execution; sign-off
2. Which setting can reduce variability by narrowing the sampling distribution during inference?
A) Increasing learning rate
B) Using a larger context window
C) Increasing temperature
D) Lowering temperature
3. Which competency MOST helps testers steer LLMs to produce useful, on-policy testware?
A) Writing low-level device drivers
B) Configuring network routers
C) Mastering prompt engineering
D) Designing custom CPU instructions
4. 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) Zero-shot prompting
B) Meta prompting
C) Prompt chaining
D) Few-shot prompting
5. 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) Instruction
B) Input data
C) Output format
D) Constraints
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: B |
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