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Microsoft AI900

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Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial. Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them. You may be eligible for ACE college credit if you pass this certification exam.

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MICROSOFT AI-900
4/22/2022
100% Passing Exam




MICROSOFT
DON'T ESCAPE IN YOUR HAND

,MICROSOFT AI-900


Microsoft AI-900 Exam Actual Questions
The questions for AI-900 were last updated at April 22, 2022.


Question #1
A company employs a team of customer service agents to provide telephone and email support to
customers.
The company develops a webchat bot to provide automated answers to common customer
queries.
Which business benefit should the company expect as a result of creating the webchat bot
solution?

 A. increased sales
 B. a reduced workload for the customer service agents
 C. improved product reliability

Question #2
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.

Question #3




1

,MICROSOFT AI-900


HOTSPOT -
You are developing a model to predict events by using classification.
You have a confusion matrix for the model scored on test data as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on
the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Hot Area:




Question #4
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.




2

, MICROSOFT AI-900


Question #5
HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:




Question #6
HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:




Question #7
DRAG DROP -
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.




3

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