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AI-900 Microsoft Azure AI Fundamentals Free Practice Exam Questions (2025 Updated)

Prepare effectively for your Microsoft AI-900 Microsoft Azure AI Fundamentals certification with our extensive collection of free, high-quality practice questions. Each question is designed to mirror the actual exam format and objectives, complete with comprehensive answers and detailed explanations. Our materials are regularly updated for 2025, ensuring you have the most current resources to build confidence and succeed on your first attempt.

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Total 319 questions

Match the types of AI workloads to the appropriate scenarios.

To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

To complete the sentence, select the appropriate option in the answer area.

You have a webchat bot that provides responses from a QnA Maker knowledge base.

You need to ensure that the bot uses user feedback to improve the relevance of the responses over time.

What should you use?

A.

key phrase extraction

B.

sentiment analysis

C.

business logic

D.

active learning

Select the answer that correctly completes the sentence.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Match the facial recognition tasks to the appropriate questions.

To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

What are two tasks that can be performed by using the Computer Vision service? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Train a custom image classification model.

B.

Detect faces in an image.

C.

Recognize handwritten text.

D.

Translate the text in an image between languages.

Match the machine learning tasks to the appropriate scenarios.

To answer, drag the appropriate task from the column on the left to its scenario on the right. Each task may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

To complete the sentence, select the appropriate option in the answer area.

You have insurance claim reports that are stored as text.

You need to extract key terms from the reports to generate summaries.

Which type of Al workload should you use?

A.

conversational Al

B.

anomaly detection

C.

natural language processing

D.

computer vision

In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad

B.

generating live captions for a news broadcast

C.

extracting key phrases from the audio recording of a meeting

D.

an Al character in a computer game that speaks audibly to a player

You are developing a solution that uses the Text Analytics service.

You need to identify the main talking points in a collection of documents.

Which type of natural language processing should you use?

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

language detection

You are authoring a Language Understanding (LUIS) application to support a music festival.

You want users to be able to ask questions about scheduled shows, such as: “Which act is playing on the main stage?”

The question “Which act is playing on the main stage?” is an example of which type of element?

A.

an intent

B.

an utterance

C.

a domain

D.

an entity

You need to build an app that will read recipe instructions aloud to support users who have reduced vision.

Which version service should you use?

A.

Text Analytics

B.

Translator Text

C.

Speech

D.

Language Understanding (LUIS)

In which scenario should you use key phrase extraction?

A.

translating a set of documents from English to German

B.

generating captions for a video based on the audio track

C.

identifying whether reviews of a restaurant are positive or negative

D.

identifying which documents provide information about the same topics

You need to make the press releases of your company available in a range of languages.

Which service should you use?

A.

Translator Text

B.

Text Analytics

C.

Speech

D.

Language Understanding (LUIS)

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Your website has a chatbot to assist customers.

You need to detect when a customer is upset based on what the customer types in the chatbot.

Which type of AI workload should you use?

A.

anomaly detection

B.

semantic segmentation

C.

regression

D.

natural language processing

You build a QnA Maker bot by using a frequently asked questions (FAQ) page.

You need to add professional greetings and other responses to make the bot more user friendly.

What should you do?

A.

Increase the confidence threshold of responses

B.

Enable active learning

C.

Create multi-turn questions

D.

Add chit-chat

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Total 319 questions
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