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1. 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) Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
B) Expand the output format to include risk predictions with severity levels, recommended actions, and a timeline for team intervention based on trend analysis.
C) Specify that the role is a test analyst with expertise in predictive analytics and risk management.
D) Add an instruction to calculate statistical variance and highlight tests that deviate by more than 20% from baseline metrics.
2. The model flags anomalies in logs and also proposes partitions for input validation tests. Which metrics BEST evaluate these two outcomes together?
A) Accuracy for anomaly detection and Precision for coverage of valid/invalid partitions
B) Precision for anomaly identification and recall for coverage of valid/invalid partitions
C) Time efficiency for anomaly detection and accuracy for coverage of valid/invalid partitions
D) Diversity for anomaly identification and precision for partitions
3. Which statement BEST describes vision-language models (VLMs)?
A) VLMs process audio and video but not images.
B) VLMs are a superset of multimodal LLMs.
C) VLMs are a subset of multimodal LLMs integrating visual and textual information.
D) VLMs are unrelated to multimodal LLMs and focus only on UI automation.
4. What is a hallucination in LLM outputs?
A) A systematic preference learned from data
B) A logical mistake in multi-step deduction
C) A transient network failure during inference
D) Generation of factually incorrect content for the task
5. 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) Add a step to review the change log for syntax errors before analysis.
D) Include references to version control systems like Git in the constraints.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: A |
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ISTQB Certified Tester AI Testing (v1.0)
ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0
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