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...
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
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,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.
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, 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.
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