Download Microsoft : AI-300 Questions & Answers as PDF & Test Software
Updated: Jun 18, 2026
No. of Questions: 126 Questions & Answers with Testing Engine
Download Limit: Unlimited
Reliable & Actual Study Materials for AI-300 Exam Success
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AI-300 Practice Q&A's
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Microsoft Operationalizing Machine Learning and Generative AI Solutions Sample Questions:
1. You have an Azure subscription named Sub1 that contains an Azure Machine Learning workspace named Workspace1. Workspace1 contains the following assets:
- a registered MLflow model named Model1
- an online endpoint named Endpoint1
Outbound network connectivity from Endpoint1 is blocked.
You need to deploy Model1 to Endpoint1.
What should you do first?
A) In Workspace1, create a linked service.
B) In Workspace1, create a package.
C) In Sub1, create a private endpoint.
D) In Sub1, create an Azure Machine Learning registry.
2. Hotspot Question
A team trains an MLflow model that scores customer churn risk. The model will be consumed by different downstream systems.
One system requests predictions synchronously during customer interactions.
Another system submits files containing millions of records for scheduled scoring.
You need to deploy the model by using managed inference options that match each usage pattern.
Which option should you use for each usage pattern? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
3. A company requires that only models meeting predefined performance thresholds are registered and deployed. The solution must be fully automated within the ML workflow. What should you implement?
A) Azure Monitor alerts
B) Manual approval gate
C) Conditional logic in pipeline
D) GitHub pull request checks
4. Drag and Drop Question
A team deploys a classification model to production and monitors performance and data changes.
The team wants to ensure that significant drops in prediction accuracy automatically trigger the following:
- Stakeholders must be notified of the drops.
- Retraining must be initiated when thresholds are exceeded
You need to configure monitoring to meet the requirements.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
5. A team schedules weekly retraining of a model using Azure ML pipelines. They also want retraining triggered automatically when production data significantly deviates from training data distribution, without duplicating pipeline logic. What should they implement?
A) One pipeline triggered by schedule and data drift alerts
B) Notebook-based retraining process
C) Azure Function to retrain model manually
D) Two independent pipelines with shared scripts
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: Only visible for members | Question # 3 Answer: C | Question # 4 Answer: Only visible for members | Question # 5 Answer: A |
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