Correct Answer: Yes, by using 'Datastores' and 'Datasets' that point to on-premises resources reachable via VPN or ExpressRoute
Datastores provide an abstraction that allows your ML scripts to access data regardless of where it is physically located....
Correct Answer
Yes, by using 'Datastores' and 'Datasets' that point to on-premises resources reachable via VPN or ExpressRoute
Why This Answer Is Correct
Datastores provide an abstraction that allows your ML scripts to access data regardless of where it is physically located.
This question evaluates your knowledge of Azure Machine Learning — a core concept tested in Microsoft Certified: Azure Administrator Associate (AZ-104). Understanding Azure Machine Learning is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
Your data science team needs a fully managed environment to build, train, and deploy custom machine learning models using TensorFlow. Which platform provides these end-to-end MLOps capabilities?
What is 'Azure Machine Learning Workspace'?
Which component of Azure ML allows you to build, train, and deploy models by dragging and dropping modules onto a canvas?
What is 'Automated Machine Learning' (AutoML) in Azure ML?
In Azure ML, what is a 'Compute Instance'?