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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing Activities for Generative AI | 30% | - Traceability and Documentation
|
| 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: Fundamentals of Generative AI | 20% | - AI Terminology
|
1. 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
2. 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
3. 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.
4. Which statement about fine-tuning for test tasks is INCORRECT?
A) It can be applied to smaller SLMs to improve task performance with lower compute
B) It replaces the model's general knowledge entirely and prevents overfitting
C) It adapts a pre-trained model to a domain using task-specific data
D) It enhances relevance to organizational terminology and formats
5. 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) Integrating user feedback
C) Iterative prompt modification
D) Output analysis
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: A |
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