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2.1.2 A tester is using GenAI to help analyze a large set of defect logs. They divide the process into multiple sub-prompts: first extracting relevant error messages, then classifying them, then summarizing the classifications. After each step, they verify correctness before moving forward. Which prompting technique are they applying?
5.1.3 A test architect needs to estimate the cost of running GenAI-based test generation daily. They consider prompt frequency, input/output token length, and vendor pricing structures. Which step aligns directly with Hands-On Objective 5.1.3 (H1)?
1.1.2 A performance test uses an SLM to provide quick insights on defect clustering. The model’s outputs are fast but miss subtle context in multi-sentence defect reports. The team wants minimal increase in processing time while improving comprehension. Which change is most suitable?
1.1.3 A test lead is evaluating AI tools for generating user acceptance test scripts. The requirements include interpreting vague user stories and converting them into detailed, step-by-step instructions. The team also wants the model to strictly follow formatting standards and produce consistent output across multiple runs. Which model type should they prioritize?
2.2.3 After minor UI tweaks, dozens of GUI regression tests fail due to locator instability and altered interactions. The team wants to avoid mass manual edits. Which approach should they adopt first?
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