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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Fundamentals of Generative AI | 20% | - AI Development Lifecycle
|
| Topic 2: Risks and Testing Challenges for Generative AI | 30% | - Testing Challenges for Generative AI
|
| Topic 3: Tools for Testing Generative AI | 20% | - Testing Tools Overview
|
| Topic 4: Testing Activities for Generative AI | 30% | - Traceability and Documentation
|
Question 1
A team notices vague, inconsistent LLM outputs for the same story for two different prompts. Which technique BEST helps choose the stronger wording among two prompt versions using predefined metrics?
A. A/B testing of prompts
B. Iterative prompt modification
C. Output analysis
D. Integrating user feedback
Question 2
What is a key data-related aspect when defining a GenAI strategy for testing?
A. Prioritize accurate and relevant input data secured through defined quality procedures
B. Aggregate data from all available organizational repositories without filtration
C. Use only auto-generated synthetic data to avoid dependency on enterprise repositories
D. Neglect legacy data sources as they provide limited immediate relevance to testing tasks
Question 3
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 produces scripted conversational responses similar to traditional bots
D. It focuses primarily on visual dashboards and user navigation features
Question 4
You are tasked with applying structured prompting to perform impact analysis on recent code changes. Which of the following improvements would BEST align the prompt with structured prompt engineering best practices for comprehensive impact analysis?
A. Specify that the role is a test architect specializing in CI/CD pipelines.
B. Include references to version control systems like Git in the constraints.
C. Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
D. Add a step to review the change log for syntax errors before analysis.
Question 5
An LLM prioritizes tests using likelihood X impact but ranks a trivial tooltip change above a payment failure.
What defect does this MOST LIKELY show?
A. Reasoning error in risk calculation logic
B. Hallucination
C. Dataset bias toward UI features
D. No defect; this is acceptable
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: C | Question 5 Answer: A |
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