A research team analyzes survey responses. They want to extract the main topics from each response, identify any organization names mentioned, and ensure that any personal data is redacted before publishing the results. The solution must use Azure AI services. What should you do?

Call Entity Recognition only, because it returns both key phrases and PII entities.

Call Key Phrase Extraction and Entity Recognition on the original text, then redact PII from the extracted phrases and entities.

Call PII Detection to redact personal data, then call Key Phrase Extraction and Entity Recognition on the redacted text.

Use the Translator API to translate responses to English, then run Key Phrase Extraction and Entity Recognition on the translated text.

A multinational customer-support portal receives messages from users worldwide. The portal must automatically route each message to the correct regional queue based on the language it is written in. Additionally, the portal must display the main topics of each message to the support agent before they open it. You need to implement this with the least custom code. What should you do?

Call the PII Detection API to identify personal data, then use the presence of certain PII categories to guess the language and topics.

Call the Translator API to translate the message to English, then call the Sentiment Analysis API to determine the tone.

Call the Language Detection API to get the language, then call the Key Phrase Extraction API on the original text to get the topics.

Call the Entity Recognition API to extract entities, then use the detected entity types to infer the language and topics.

A customer feedback system collects product reviews. The team wants to automatically identify the product names mentioned in each review, detect any personal data that should be removed, and determine whether the review is positive or negative. The solution must use Azure AI services. What should you do?

Call the Translator API to translate reviews to English, then run Entity Recognition and Sentiment Analysis on the translated text.

Call Entity Recognition to identify product names, PII Detection to redact personal data, and Sentiment Analysis to determine the tone.

Call Sentiment Analysis only, because it also returns entities and PII in the response.

Call Key Phrase Extraction to identify product names, and Sentiment Analysis to determine tone; PII is not needed because reviews are public.

Microsoft Certified:Azure AI Engineer Associate

Domain 5Objective 1

Analyze and Translate Text AI-102 Practice Questions (Page 2)

Part of the Implement natural language processing solutions domain, which accounts for 15-20% of the AI-102 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~6–13 in this domain), expect 2–4 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)

26questions here

6free pages

6concepts

15-20%of the exam

Questions 6–10

6foundation · easy
Which Azure AI Language feature identifies the language in which a given text is written and returns a language code and confidence score?
Select an answer first
7foundation · easy
Which Azure AI Language feature identifies and categorizes named entities such as persons, organizations, and locations within unstructured text?
Select an answer first
8application · medium
A research team analyzes survey responses. They want to extract the main topics from each response, identify any organization names mentioned, and ensure that any personal data is redacted before publishing the results. The solution must use Azure AI services. What should you do?
Select an answer first
9application · medium
A multinational customer-support portal receives messages from users worldwide. The portal must automatically route each message to the correct regional queue based on the language it is written in. Additionally, the portal must display the main topics of each message to the support agent before they open it. You need to implement this with the least custom code. What should you do?
Select an answer first
10application · medium
A customer feedback system collects product reviews. The team wants to automatically identify the product names mentioned in each review, detect any personal data that should be removed, and determine whether the review is positive or negative. The solution must use Azure AI services. What should you do?
Select an answer first

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Analyze and Translate Text AI-102 Practice Questions (Page 2)

Questions 6–10

Which Azure AI Language feature identifies the language in which a given text is written and returns a language code and confidence score?

Which Azure AI Language feature identifies and categorizes named entities such as persons, organizations, and locations within unstructured text?

A research team analyzes survey responses. They want to extract the main topics from each response, identify any organization names mentioned, and ensure that any personal data is redacted before publishing the results. The solution must use Azure AI services. What should you do?

Keep studying — Implement natural language processing solutions