AI-102 Practice Question: Implement natural language processing solutions
A company needs to extract personally identifiable information (PII) from customer support transcripts stored in Azure Blob Storage. Which Azure AI service should they use?
⚠ Common exam trap
In the AI-102 exam, candidates often confuse Azure AI services that process text (Language Service) versus those that process audio (Speech), images (Vision), or translation (Translator), leading them to incorrectly select Azure AI Speech when the question involves text extraction from stored files.
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
✓
Azure AI Language Service
Azure AI Language Service (formerly Text Analytics) includes a pre-built PII detection feature that can identify, categorize, and redact personally identifiable information from unstructured text. This service is specifically designed for text-based extraction tasks, making it the correct choice for processing customer support transcripts stored in Azure Blob Storage.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure AI Speech
Why it's wrong here
Azure AI Speech transcribes audio and synthesises speech; it does not detect PII entities within text. It is tempting because transcripts originate as audio, but the PII extraction itself requires Azure AI Language's PII detection over the stored text, not speech-to-text conversion.
- ✓
Azure AI Language Service
Why this is correct
Azure AI Language provides a prebuilt PII extraction feature that identifies and redacts entities such as names, addresses and phone numbers in text. It processes transcript text directly, satisfying the requirement to extract personally identifiable information without training a custom model.
- ✗
Azure AI Translator
Why it's wrong here
Azure AI Translator converts text between languages and does not detect or redact PII entities. It is tempting because support transcripts may be multilingual, but translation preserves the PII rather than extracting it; Azure AI Language's PII detection performs the entity extraction the scenario demands.
- ✗
Azure AI Vision
Why it's wrong here
Azure AI Vision analyses images and video for objects, OCR and faces; it cannot identify PII entities in written transcripts. It is tempting because OCR extracts text from images, but the transcripts are already text in Blob Storage, so Azure AI Language's PII detection is required instead.
Quick reference
Azure Blob Storage Tier Comparison
| Tier | Storage Cost | Retrieval Cost | Latency | Use Case |
|---|---|---|---|---|
| Hot | Highest | Lowest | Immediate | Active data, frequent reads |
| Cool | Lower | Higher | Immediate | Data accessed < once / month |
| Cold | Lower still | Higher | Immediate | Data accessed < once / quarter |
| Archive | Lowest | Highest + rehydration delay | Hours | Long-term compliance retention |
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 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-102 exam.