Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are developing an Azure Function that processes free-form customer messages. The function must identify private data, such as phone numbers and emails, along with confidence scores, and also return the original text with that sensitive content automatically masked (for example, "**********"). You want to achieve this by calling a single built-in action of the Azure AI Language (Text Analytics) REST API. Which action should the function invoke to meet all requirements?
Named entity recognition (general)
Personally identifiable information (PII) entity recognition
Linked entity recognition
Single-label classification with a custom document classification project
The Azure AI Language PII entity recognition action is designed to locate personally identifiable information (PII) such as phone numbers, social security numbers, and email addresses. It returns a confidence score for each detected entity and can also output a redacted version of the input text with the PII masked. Other options do not both detect PII and produce a redacted string: linked entity recognition finds well-known entities in Wikipedia, named entity recognition identifies general entities without masking, and custom document classification actions require building and training a custom model and do not automatically redact text.
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What is the Azure AI Language (Text Analytics) REST API used for?
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Microsoft Azure AI Engineer Associate AI-102
Implement natural language processing solutions
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