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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?
4.1.1 Which statement best describes why the architecture goes beyond a traditional client-server model?
1.1.4 A software testing team needs to evaluate whether a multimodal LLM can handle both textual defect reports and related application screenshots in a single test prompt. What is the key preprocessing step for the image before passing it to the transformer architecture?
3.1.1 An LLM generates acceptance criteria for an e-commerce checkout process, consistently focusing on credit card payments while underrepresenting digital wallets, despite both being equally important.Which defect does this most likely illustrate?
3.1.3 A team formats the test data fed into an LLM in CSV with clearly labeled columns instead of using a loosely formatted text file. Which risk reduction method is being used?
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