Most Recent Microsoft AI-900 Exam Questions & Answers

Prepare for the Microsoft Azure AI Fundamentals exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Microsoft AI-900 exam and achieve success.

The questions for AI-900 were last updated on Dec 20, 2024.

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Question No. 1

You have a dataset that contains information about taxi journeys that occurred during a given period.

You need to train a model to predict the fare of a taxi journey.

What should you use as a feature?

Athe number of taxi journeys in the dataset

Bthe trip distance of individual taxi journeys

Cthe fare of individual taxi journeys

Dthe trip ID of individual taxi journeys

Show Answer

Correct Answer: B

The label is the column you want to predict. The identified Features are the inputs you give the model to predict the Label.

Example:

The provided data set contains the following columns:

rate_code: The rate type of the taxi trip is a feature.

passenger_count: The number of passengers on the trip is a feature.

trip_time_in_secs: The amount of time the trip took. You want to predict the fare of the trip before the trip is completed. At that moment, you don't know how long the trip would take. Thus, the trip time is not a feature and you'll exclude this column from the model.

trip_distance: The distance of the trip is a feature.

payment_type: The payment method (cash or credit card) is a feature.

fare_amount: The total taxi fare paid is the label.

https://docs.microsoft.com/en-us/dotnet/machine-learning/tutorials/predict-prices

Question No. 2

Which scenario is an example of a webchat bot?

ADetermine whether reviews entered on a website for a concert are positive or negative, and then add a
thumbs up or thumbs down emoji to the reviews.

BTranslate into English questions entered by customers at a kiosk so that the appropriate person can call the customers back.

CAccept questions through email, and then route the email messages to the correct person based on the content of the message.

DFrom a website interface, answer common questions about scheduled events and ticket purchases for a music festival.

Show Answer

Correct Answer: D

Question No. 3

What can be used to complete a paragraph based on a sentence provided by a user?

AAzure Al Language

BAzure OpenAI

CAzure Machine Learning

DAzure Al Vision

Show Answer

Correct Answer: B

Question No. 4

When training a model, why should you randomly split the rows into separate subsets?

Ato train the model twice to attain better accuracy

Bto train multiple models simultaneously to attain better performance

Cto test the model by using data that was not used to train the model

Show Answer

Correct Answer: C

The goal is to produce a trained (fitted) model that generalizes well to new, unknown data. The fitted model is evaluated using ''new'' examples from the held-out datasets (validation and test datasets) to estimate the model's accuracy in classifying new data.

https://en.wikipedia.org/wiki/Training,_validation,_and_test_sets#:~:text=Training%20dataset,- A%20training%20dataset&text=The%20goal%20is%20to%20produce,accuracy%20in%20classifying%20new%20data.

Question No. 5

You use Azure Machine Learning designer to publish an inference pipeline.

Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Athe model name

Bthe training endpoint

Cthe authentication key

Dthe REST endpoint

Show Answer

Correct Answer: C, D

https://docs.microsoft.com/en-in/learn/modules/create-regression-model-azure-machine-learning-designer/deploy-service

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