A team needs to deploy a model that must handle unpredictable spikes in traffic. They also need to minimize cost during low-traffic periods. Which deployment option should they choose?

Deploy to AKS with autoscaling enabled

A team wants to use automated ML to train a classification model. They have a large dataset and need to run the experiment within a limited time. They also need to compare multiple runs and select the best model. What should they configure?

Set a training time limit and use a compute cluster with multiple nodes

Use a compute instance and manually track runs

Disable early termination and use a low-priority cluster

Set a high iteration count and use a single-node compute instance

In an automated machine learning (AutoML) experiment in Azure Machine Learning, what is the first step you must perform?

Deploy the best model to an endpoint.

Define the primary metric for model evaluation.

Create a compute cluster with a specific VM size.

Prepare and register your training data as a dataset.

A team has multiple experiments with different datasets and hyperparameters. They need to identify which run produced the best model and then deploy that exact model to a staging endpoint for validation. What should they do?

Retrain the model manually with the best hyperparameters and deploy it.

Deploy all runs to separate endpoints and test them manually.

Use the Azure ML studio to compare runs by metrics, register the best run's model, and deploy it to a staging endpoint.

Use the run ID to download the model and host it on a local server.

Microsoft Certified:Azure AI Fundamentals

Domain 2Objective 3

Describe Azure Machine Learning Capabilities AI-900 Practice Questions (Page 4)

Part of the Describe fundamental principles of machine learning on Azure domain, which accounts for 15–20% of the AI-900 exam. Microsoft does not publish an official question count, but from its 60-minute exam (~25–40 total, ~4–8 in this domain), expect 1–3 from this objective — we provide 47 practice questions to prepare you well beyond it. (estimate)

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47questions here

10free pages

7concepts

15–20%of the exam

Questions 16–20

16expert · hard
A team needs to deploy a model that must handle unpredictable spikes in traffic. They also need to minimize cost during low-traffic periods. Which deployment option should they choose?
Select an answer first
17expert · hard
A team wants to use automated ML to train a classification model. They have a large dataset and need to run the experiment within a limited time. They also need to compare multiple runs and select the best model. What should they configure?
Select an answer first
18foundation · easy
In an automated machine learning (AutoML) experiment in Azure Machine Learning, what is the first step you must perform?
Select an answer first
19expert · hard
A team has multiple experiments with different datasets and hyperparameters. They need to identify which run produced the best model and then deploy that exact model to a staging endpoint for validation. What should they do?
Select an answer first
20application · medium
A team has trained several versions of a model and wants to keep track of which version is currently used in production. What should they use in Azure Machine Learning?
Select an answer first

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