Last Updated: Aug 24, 2026
No. of Questions: 42 Questions & Answers with Testing Engine
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| Section | Weight | Objectives |
|---|---|---|
| Introduction to Generative AI for Software Testing | 15% | - Use cases across the testing lifecycle - Capabilities and limitations relevant to testing - Core concepts: Generative AI, LLMs, foundation models |
| Prompt Engineering for Effective Software Testing | 35% | - Principles and structure of effective prompts - Iterative refinement and evaluation of prompts - Prompt patterns for test design, data generation, automation |
| LLM-Powered Test Infrastructure | 10% | - Architecture and deployment considerations - RAG, fine-tuning, and model adaptation - AI agents and integration with test tools |
| Deploying and Integrating GenAI in Test Organisations | 15% | - Roles, skills, and team readiness - Strategy, governance, and adoption roadmap - Measuring value and continuous improvement |
| Managing Risks of Generative AI in Software Testing | 25% | - Validation, verification, and mitigation strategies - Hallucinations, bias, inaccuracy, and consistency risks - Data privacy, security, and compliance concerns |
1. Which setting can reduce variability by narrowing the sampling distribution during inference?
A) Increasing temperature
B) Increasing learning rate
C) Using a larger context window
D) Lowering temperature
2. A tester uploads crafted images that steer the LLM into validating non-existent acceptance criteria. Which attack vector is this?
A) Request manipulation
B) Malicious code generation
C) Data poisoning
D) Data exfiltration
3. What distinguishes an LLM-powered agent from a basic AI chatbot in test processes?
A) Reliance on predefined templates to generate short, factual answers
B) Ability to respond to prompts without explicit user instructions
C) Use of a conversational tone and improved response personalization
D) Ability to trigger automated actions beyond conversation
4. Which of the following is NOT a valid form of LLM-driven test data generation?
A) Creating production database backups
B) Generating synthetic datasets
C) Setting boundary values
D) Creating combinatorial data (e.g., pairwise)
5. Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?
A) Some GenAI tools may store/process data without explicit consent
B) GenAI outputs can accidentally reveal sensitive information present in inputs
C) Using GenAI without regulatory compliance can lead to legal exposure
D) Strict GDPR compliance eliminates all privacy risk
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: D |
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