Exam AI-102 Topic 2 Question 398 Discussion

Actual exam question for Microsoft's AI-102 exam
Question #: 398
Topic #: 2
You are building a customer support chatbot.
You need to configure the bot to identify the following:
* Code names for internal product development
* Messages that include credit card numbers
The solution must minimize development effort.
Which Azure Cognitive Service for Language feature should you use for each requirement? To answer, drag the appropriate features to the correct requirements. Each feature may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.

Suggested Answer:


Explanation:

The chatbot needs to recognize two different kinds of information:
* Code names for internal product development
* These are not standard entities like "locations" or "organizations" that prebuilt NER can detect.
* You need to train a custom model to recognize internal terms or codenames (for example,
"Project Falcon").
* The correct Azure Cognitive Service for Language feature is Custom Named Entity Recognition (Custom NER), which allows defining and training entity categories specific to your business.
* Messages that include credit card numbers
* Credit card numbers are sensitive data falling under Personally Identifiable Information (PII).
* Azure Cognitive Service for Language provides a PII detection feature that automatically identifies and masks sensitive information such as credit card numbers, SSNs, and phone numbers.
* This minimizes development effort since it is prebuilt and ready to use.
Correct Answer Mapping:
* Identify code names for internal product development # Custom named entity recognition (NER)
* Identify messages that include credit card numbers # Personally Identifiable Information (PII) detection
* Custom Named Entity Recognition in Azure AI Language
* PII detection in Azure AI Language

by Monica at Aug 15, 2026, 07:09 AM

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