Exam Overview
| Exam Code | AI-900 |
| Exam Name | Microsoft Azure AI Fundamentals |
| Vendor | Microsoft |
| Total Questions | 326 |
| Last Updated | 26-Oct, 2026 |
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Free AI-900 Practice Questions
Explore 3 free practice questions for the Microsoft AI-900 exam and review the answers and explanations to support your preparation.
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Question 1
Single answerYou 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?-
Option A:Correct
Set Validation type to Auto.
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Option B:Correct
Enable Explain best model.
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Option C:Correct
Set Primary metric to accuracy.
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Option D:Correct
Set Max concurrent iterations to 0.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: B
Explanation
Model Explain Ability.
Most businesses run on trust and being able to open the ML “black box” helps build transparency
and trust. In heavily regulated industries like healthcare and banking, it is critical to comply with
regulations and best practices. One key aspect of this is understanding the relationship between
input variables (features) and model output. Knowing both the magnitude and direction of the
impact each feature (feature importance) has on the predicted value helps better understand and
explain the model. With model explain ability, we enable you to understand feature importance as
part of automated ML runs. -
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Question 2
Drag & DropHOTSPOT
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.Show Answer & Explanation Hide Answer & Explanation
Correct Answer

Explanation

Box 1: No
Box 2: Yes
Box 3: Yes
Anomaly detection encompasses many important tasks in machine learning:
Identifying transactions that are potentially fraudulent.
Learning patterns that indicate that a network intrusion has occurred. -
Question 3
Drag & DropYou 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
Show Answer & Explanation Hide Answer & Explanation
Correct Answer

Explanation
