- A
Azure AI Speech
Why wrong: Azure AI Speech handles speech-to-text and text-to-speech.
- B
Azure AI Language Service
Azure AI Language Service includes PII detection.
- C
Azure AI Translator
Why wrong: Azure AI Translator is for language translation.
- D
Azure AI Vision
Why wrong: Azure AI Vision is for image analysis.
Question 806 of 993
AI-102 Practice Question: Implement natural language processing solutions
This AI-102 practice question tests your understanding of implement natural language processing solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 handles speech-to-text and text-to-speech.
- ✓
Azure AI Language Service
Why this is correct
Azure AI Language Service includes PII detection.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure AI Translator
Why it's wrong here
Azure AI Translator is for language translation.
- ✗
Azure AI Vision
Why it's wrong here
Azure AI Vision is for image analysis.
Common exam traps
Common exam trap: answer the scenario, not the keyword
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.
Detailed technical explanation
How to think about this question
The PII detection feature in Azure AI Language Service uses a named entity recognition (NER) model trained on a wide range of PII categories (e.g., SSN, credit card numbers, phone numbers) and supports redaction by replacing detected entities with placeholder tokens. Under the hood, it leverages transformer-based neural networks fine-tuned on multilingual datasets, and it can be invoked via the REST API or SDK with a simple POST request containing the text and a language parameter. A subtle behavior is that it can also detect domain-specific PII (e.g., EU GDPR identifiers) when the `domain` parameter is set to 'phi'.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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 |
What to study next
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FAQ
Questions learners often ask
What does this AI-102 question test?
Implement natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jul 4, 2026
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