Last Updated: Jul 31, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Fundamentals of Generative AI | 20% | - AI Terminology
|
| Tools for Testing Generative AI | 20% | - Using Tools for Common Testing Activities
|
| Testing Activities for Generative AI | 30% | - Model and Output Evaluation
|
| Risks and Testing Challenges for Generative AI | 30% | - Quality Risks Specific to Generative AI
|
1. 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) Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
B) Specify that the role is a test architect specializing in CI/CD pipelines.
C) Include references to version control systems like Git in the constraints.
D) Add a step to review the change log for syntax errors before analysis.
2. Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?
A) Strict GDPR compliance eliminates all privacy risk
B) Using GenAI without regulatory compliance can lead to legal exposure
C) GenAI outputs can accidentally reveal sensitive information present in inputs
D) Some GenAI tools may store/process data without explicit consent
3. Which factor MOST influences the overall energy consumption of a Generative AI model used in software testing tasks?
A) The type of cloud platform affects processing speed but not total energy draw
B) The number of tokens processed directly determines the carbon intensity of each query
C) The duration of user sessions primarily affects latency but not power efficiency
D) The location of the data center determines model bias and accuracy levels
4. Which setting can reduce variability by narrowing the sampling distribution during inference?
A) Lowering temperature
B) Using a larger context window
C) Increasing learning rate
D) Increasing temperature
5. Which statement BEST contrasts interaction style and scope?
A) Chatbots enable conversational interactions; LLM apps provide capabilities for defined test tasks.
B) Chatbots enforce fixed workflows; LLM apps support free-form exploration beneficial for software testing
C) Both are identical aside from UI theme.
D) Chatbots require API integration; LLM apps do not.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A |
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