Describe features of Natural Language Processing workloads on Azure →mediumMultiple ChoiceObjective-mapped
AI-900 Practice Question: Describe features of Natural Language Processing workloads on Azure
What is 'personally identifiable information' (PII) detection in Azure AI Language?
⚠ Common exam trap
Many exam-takers confuse PII detection (identifying sensitive data in text) with authentication (verifying user identity) or access auditing (tracking resource access), leading them to pick options A or C.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Identifying and optionally redacting sensitive personal information (names, SSNs, emails) in text
PII detection in Azure AI Language is a pre-built feature that identifies sensitive personal data such as names, social security numbers, email addresses, and phone numbers within unstructured text. It can also redact (mask) these entities to help comply with data privacy regulations like GDPR. This is a core capability of the Azure AI Language service's Text Analytics API.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Verifying that a user's identity matches their stated credentials during login
Why it's wrong here
This option describes user authentication, the process of verifying claimed identity via credentials such as passwords, smart cards, or biometrics. PII detection is unrelated to verifying identity during login; it is a content-analysis service that runs over text after data already exists, identifying sensitive information within that content rather than validating who is accessing a system.
- ✓
Identifying and optionally redacting sensitive personal information (names, SSNs, emails) in text
Why this is correct
This option correctly describes Azure AI Language's PII detection feature, which uses trained NLP models to identify and catalogue sensitive entities in unstructured text—such as person names, Social Security numbers, email addresses, and other personal data. The feature can also return entity spans and confidence scores, and it supports redaction by replacing detected values with placeholders or category tokens, enabling GDPR compliance, data anonymization, and secure data processing workflows.
- ✗
Tracking which users have accessed personally sensitive Azure resources
Why it's wrong here
This option describes an audit and access control capability, typically delivered through Azure Active Directory sign-in logs and Azure Monitor resource logs. PII detection, by contrast, analyzes the content of text documents to locate sensitive entities like names or social security numbers; it has no awareness of which users accessed which Azure resources, and it does not log or track access events.
- ✗
Detecting when users are sharing their own personal information in an inappropriate context
Why it's wrong here
This option conflates PII detection with policy enforcement, specifically data loss prevention (DLP) or inappropriate disclosure controls. Azure's PII detection capability is a natural language processing (NLP) task that scans static text for personal entities; it does not evaluate the context or appropriateness of a disclosure, which would require rule-based policies, user context, and sharing intent analysis.
Go deeper
Related to this question
Learn chapter
Machine Learning Core Concepts
Key term
Text analytics
Text analytics is the process of turning unstructured text, like emails or social media posts, into structured data that can be analyzed to find patterns, sentiments, and insights.
Key term
Azure AI Language
Azure AI Language is a cloud-based service from Microsoft that uses natural language processing to understand, analyze, and generate human language for applications.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-900 exam.