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Free Microsoft AI-900 Practice Exam with Questions & Answers | Set: 6

Questions 51

You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user:

• Accept customer orders.

• Retrieve support documents.

• Retrieve order status updates.

Which type of NLP should you use?

Options:
A.

sentiment analysis

B.

translation

C.

language modeling

D.

named entity recognition

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Questions 52

What is a use case for classification?

Options:
A.

predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.

B.

analyzing the contents of images and grouping images that have similar colors

C.

predicting whether someone uses a bicycle to travel to work based on the distance from home to work

D.

predicting how many minutes it will take someone to run a race based on past race times

Questions 53

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items.

Which type of AI workload should the company use?

Options:
A.

anomaly detection

B.

conversational AI

C.

computer vision

D.

natural language processing

Questions 54

Which statement is an example of a Microsoft responsible AJ principle?

Options:
A.

Al systems must use only publicly available data.

B.

Al systems must protect the interests of the company

C.

Al systems must be understandable.

D.

Al systems must keep personal details public

Questions 55

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

NOTE: Each correct selection is worth one point.

AI-900 Question 55

Options:
Questions 56

You need to create a clustering model and evaluate the model by using Azure Machine Learning designer. What should you do?

Options:
A.

Split the original dataset into a dataset for features and a dataset for labels. Use the features dataset for evaluation.

B.

Split the original dataset into a dataset for training and a dataset for testing. Use the training dataset for evaluation.

C.

Split the original dataset into a dataset for training and a dataset for testing. Use the testing dataset for evaluation.

D.

Use the original dataset for training and evaluation.

Questions 57

What ate two common use cases for generative Al solutions? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:
A.

generating draft responses for customer service agents

B.

creating original artwork from textual descriptions

C.

predicting sales revenue based on historical data

D.

classifying email messages as spam or non-spam

Questions 58

What should you implement to prevent hateful responses from being returned by a generative Al solution?

Options:
A.

abuse monitoring

B.

content filtering

C.

fine-tuning

D.

prompt engineering

Questions 59

You need to track multiple versions of a model that was trained by using Azure Machine Learning. What should you do?

Options:
A.

Provision an inference duster.

B.

Explain the model.

C.

Register the model.

D.

Register the training data.

Questions 60

Select the answer that correctly completes the sentence.

AI-900 Question 60

Options:
Exam Code: AI-900
Certification Provider: Microsoft
Exam Name: Microsoft Azure AI Fundamentals
Last Update: Oct 30, 2025
Questions: 323

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