Microsoft Certified: Azure AI Engineer AssociateImplement natural language processing solutionsMedium
A call center is integrating an AI-powered assistant to help agents by transcribing customer calls in real-time and providing relevant information. The assistant needs to filter out sensitive customer data, such as credit card numbers and social security numbers, from the transcribed text before displaying it to agents. Which Azure AI Language feature should be applied to the real-time transcription stream?
- AText Summarization
- BKey Phrase Extraction
- CPersonal Identifiable Information (PII) Detection
- DSentiment Analysis
Show answer & explanationAnswer & explanation
Correct answer: C. Personal Identifiable Information (PII) Detection
PII Detection is specifically designed to identify and redact or mask sensitive information like credit card numbers and social security numbers from text. This is crucial for protecting customer privacy in real-time transcription scenarios.
Why the other options are wrong
- A. Text Summarization condenses text, it does not detect or redact PII.
- B. Key Phrase Extraction identifies main points, not sensitive data for redaction.
- D. Sentiment Analysis determines emotional tone, which is irrelevant to PII redaction.
Personal Identifiable Information (PII) Detection
An Azure AI Language feature that identifies, categorizes, and can redact personal identifiable information (PII) from unstructured text. It's crucial for privacy compliance and data security when processing sensitive customer data.
- Detects sensitive personal data (e.g., names, addresses, credit cards).
- Can be used for redaction or masking.
- Essential for privacy and compliance requirements.
Memory trick: PII Detection guards your secrets.