- A
Use the entity recognition skill in Azure AI Search and map to a target field
Why wrong: Entity recognition does not redact.
- B
Use Azure AI Document Intelligence with a custom model to identify PII fields
Why wrong: Document Intelligence does not have built-in PII redaction.
- C
Use the built-in PII detection skill in Azure AI Search with redaction mode enabled
The PII detection skill can redact detected entities.
- D
Use Azure AI Language's key phrase extraction to find PII
Why wrong: Key phrase extraction does not identify PII.
Question 509 of 993
Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped
PII Redaction in Azure AI Search Using Built-in Skill
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
You need to extract personally identifiable information (PII) from a set of text documents before indexing them in Azure AI Search. The PII must be redacted. Which Azure AI service and configuration should you 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
✓
Use the built-in PII detection skill in Azure AI Search with redaction mode enabled
Option C is correct because Azure AI Search provides a built-in PII detection skill that can automatically identify and redact PII entities (such as names, phone numbers, and email addresses) from text documents during the indexing pipeline. The skill supports a 'redactionMode' configuration that replaces detected PII with a placeholder (e.g., '***'), meeting the requirement to redact PII before indexing.
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.
- ✗
Use the entity recognition skill in Azure AI Search and map to a target field
Why it's wrong here
Entity recognition does not redact.
- ✗
Use Azure AI Document Intelligence with a custom model to identify PII fields
Why it's wrong here
Document Intelligence does not have built-in PII redaction.
- ✓
Use the built-in PII detection skill in Azure AI Search with redaction mode enabled
Why this is correct
The PII detection skill can redact detected entities.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Azure AI Language's key phrase extraction to find PII
Why it's wrong here
Key phrase extraction does not identify PII.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse the general entity recognition skill (which identifies entities but does not redact) with the PII-specific skill (which is designed for redaction), leading them to choose Option A instead of C.
Trap categories for this question
Keyword trap
Key phrase extraction does not identify PII.
Detailed technical explanation
How to think about this question
The PII detection skill in Azure AI Search leverages Azure AI Language's pre-built PII detection models, which can identify over 60 entity types (e.g., Person, Phone, Email, SSN) and supports a 'redactionMode' parameter set to 'replace' or 'mask' to obscure the detected text. Under the hood, the skill processes each document field through a cognitive pipeline, and the redacted output is stored in the search index, ensuring that raw PII never persists. A real-world scenario is a healthcare organization indexing patient feedback forms while complying with HIPAA by redacting patient names and contact details before making the data searchable.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AI-102 question test?
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use the built-in PII detection skill in Azure AI Search with redaction mode enabled — Option C is correct because Azure AI Search provides a built-in PII detection skill that can automatically identify and redact PII entities (such as names, phone numbers, and email addresses) from text documents during the indexing pipeline. The skill supports a 'redactionMode' configuration that replaces detected PII with a placeholder (e.g., '***'), meeting the requirement to redact PII before indexing.
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 →
Same concept, more angles
1 more ways this is tested on AI-102
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. You are designing a knowledge mining solution that must handle sensitive customer data. The solution must ensure that personally identifiable information (PII) is not returned in search results. What should you do?
hard- A.Use Azure AI Search with encryption at rest
- B.Implement role-based access control on the search index
- ✓ C.Use a custom skill in the skillset to detect and redact PII before indexing
- D.Configure field mappings to exclude PII fields
Why C: Option C is correct because using a custom skill in the enrichment pipeline allows you to detect and redact PII from documents before they are indexed, ensuring that sensitive data is not stored in the index or returned in search results. Option A is incorrect because encryption at rest protects data at the storage level but does not prevent PII from being returned. Option B is incorrect because role-based access control restricts who can search but does not remove PII from results. Option D is incorrect because field mappings control which fields are imported but do not remove PII content from those fields.
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Last reviewed: Jul 4, 2026
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