Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are designing an Azure AI Content Understanding solution that uses the Analyze endpoint of the Azure AI Language service. Each contract uploaded to an Azure Storage container must, in a single batch request, accomplish the following:
Produce a concise extractive summary of the contract
Assign exactly one of three predefined categories (Standard, Premium, Partner)
Detect and redact any personally identifiable information (PII) Which combination of Analyze actions should you include to meet all requirements?
The requirements map directly to three built-in Analyze actions. ExtractiveSummarizationAction creates a short, sentence-level summary of the text. Because every contract must be assigned to exactly one category, CustomSingleLabelClassificationAction is the correct classification choice; the multi-label variant would allow multiple categories. To locate and optionally mask personal data, PiiEntityRecognitionAction is designed for detecting PII such as names, addresses, and phone numbers. Using these three actions in the same Analyze request satisfies all stated needs. The other answer sets fail because they either use abstractive summarization (not required), omit summarization, choose multi-label classification, or select an action (HealthcareEntitiesRecognition) that does not target general PII.
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What is the difference between extractive summarization and abstractive summarization?
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Microsoft Azure AI Engineer Associate AI-102
Implement knowledge mining and information extraction solutions
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