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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 326 questions

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.

You need to identify harmful content in a generative Al solution that uses Azure OpenAI Service.

What should you use?

A.

Face

B.

Video Analysis

C.

Language

D.

Content Safety

You build a machine learning model by using the automated machine learning user interface (UI).

You need to ensure that the model meets the Microsoft transparency principle for responsible AI.

What should you do?

A.

Set Validation type to Auto.

B.

Enable Explain best model.

C.

Set Primary metric to accuracy.

D.

Set Max concurrent iterations to 0.

Select the answer that correctly completes the sentence.

In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Extract the invoice number from an invoice.

B.

Translate a form from French to English.

C.

Find image of product in a catalog.

D.

Identity the retailer from a receipt.

You are building a knowledge base by using QnA Maker. Which file format can you use to populate the knowledge base?

A.

PDF

B.

PPTX

C.

XML

D.

ZIP

Select the answer that correctly completes the sentence.

You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book.

Which natural language processing tasks should you use to complete the process? To answer, drag the appropriate tasks to the correct locations. Each task 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.

You need to create a customer support solution to help customers access information. The solution must support email, phone, and live chat channels. Which type of Al solution should you use?

A.

natural language processing (NLP)

B.

computer vision

C.

machine learning

D.

chatbot

You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers.

Which two AI service should you use to achieve the goal? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Text Analytics

B.

QnA Maker

C.

Azure Bot Service

D.

Translator Text

Select the answer that correctly completes the sentence.

Which Azure OpenAI model should you use to summarize the text from a document?

A.

Whisper

B.

DALL-E

C.

Codex

D.

GPT

Which feature of the Azure Al Language service should you use to automate the masking of names and phone numbers in text data?

A.

Personally Identifiable Information (Pll) detection

B.

entity linking

C.

custom text classification

D.

custom named entity recognition (NER)

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

You have an Internet of Things (loT) device that monitors engine temperature.

The device generates an alert if the engine temperature deviates from expected norms.

Which type of Al workload does the device represent?

A.

natural language processing (NLP)

B.

computer vision

C.

anomaly detection

D.

knowledge mining

Select the answer that correctly completes the sentence.

For a machine learning progress, how should you split data for training and evaluation?

A.

Use features for training and labels for evaluation.

B.

Randomly split the data into rows for training and rows for evaluation.

C.

Use labels for training and features for evaluation.

D.

Randomly split the data into columns for training and columns for evaluation.

You ate building a Conversational Language Understanding model for an e-commerce business.

You need to ensure that the model detects when utterances are outside the intended scope of the model.

What should you do?

A.

Export the model.

B.

Create a new model.

C.

Add utterances to the None intent.

D.

Create a prebuilt task entity.

You are processing photos of runners in a race.

You need to read the numbers on the runners’ shirts to identity the runners in the photos.

Which type of computer vision should you use?

A.

facial recognition

B.

optical character recognition (OCR)

C.

semantic segmentation

D.

object detection

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Total 326 questions
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