The correct answer is A. Personally Identifiable Information (PII) detection.
In the Azure AI Language service, PII detection is a built-in feature designed to automatically identify and redact sensitive or confidential information from text data. According to the Microsoft Learn module
"Identify capabilities of Azure AI Language" and the AI-900 study guide, this capability can detect personal data such as names, phone numbers, email addresses, credit card numbers, and other identifiers.
When applied, the service scans input text and either masks or removes these PII elements based on configurable parameters, ensuring compliance with data privacy regulations like GDPR or HIPAA.
For example, if a document contains "John Doe's phone number is 555-123-4567," PII detection can return
"******'s phone number is ***********," thereby preventing exposure of sensitive personal details.
Option analysis:
* A. Personally Identifiable Information (PII) detection: # Correct. It identifies and masks sensitive data in text.
* B. Entity linking: Connects recognized entities to known data sources like Wikipedia; not used for redaction.
* C. Custom text classification: Classifies text into predefined categories; not designed for masking personal data.
* D. Custom named entity recognition (NER): Detects domain-specific entities you define but doesn't automatically mask them.
Therefore, to automate masking of names and phone numbers, the appropriate Azure AI Language feature is PII detection.