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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Tools for Testing Generative AI | 20% | - Using Tools for Common Testing Activities
|
| Topic 2: Risks and Testing Challenges for Generative AI | 30% | - Quality Risks Specific to Generative AI
|
| Topic 3: Testing Activities for Generative AI | 30% | - Traceability and Documentation
|
| Topic 4: Fundamentals of Generative AI | 20% | - Generative AI Concepts
|
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) Specify that the role is a test architect specializing in CI/CD pipelines.
B) Include mapping code changes to affected modules, identifying test cases, prioritizing by risk level and change complexity
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 BEST contrasts interaction style and scope?
A) Chatbots require API integration; LLM apps do not.
B) Chatbots enforce fixed workflows; LLM apps support free-form exploration beneficial for software testing
C) Chatbots enable conversational interactions; LLM apps provide capabilities for defined test tasks.
D) Both are identical aside from UI theme.
3. What is a primary compliance concern related to Shadow AI in organizational test environments?
A) Violation of established data handling and regulatory compliance standards
B) Difficulty in aligning project milestones with business outcomes
C) Failure to update system documentation within the test process
D) Automated compliance validation during AI tool deployment
4. You are using an LLM to assist in analyzing test execution trends to predict potential risks. Which of the following improvements would BEST enhance the LLM's ability to predict risks and provide actionable alerts?
A) Specify that the role is a test analyst with expertise in predictive analytics and risk management.
B) Add an instruction to calculate statistical variance and highlight tests that deviate by more than 20% from baseline metrics.
C) Expand the output format to include risk predictions with severity levels, recommended actions, and a timeline for team intervention based on trend analysis.
D) Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
5. You must generate test cases for a new payments rule. The system includes API specifications stored in a vector database and prior tests in a relational database. Which of the following sequences BEST represents the correct order for applying a Retrieval-Augmented Generation (RAG) workflow?
i. Retrieve semantically similar specification chunks from the vector database ii. Feed both retrieved datasets as context for the LLM to generate new test cases iii. Retrieve relevant historical cases from the relational database iv. Submit a focused query describing the new test requirement
A) iv -> i -> iii -> ii
B) iii -> iv -> i -> ii
C) i -> iv -> iii -> ii
D) iv -> iii -> i -> ii
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: A |
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