Correct Answer: Managed Online Endpoints
Managed Online Endpoints in Azure ML provide a production-ready, fully managed solution for deploying models as scalable web services to enable real-time, low-latency scoring and i...
Correct Answer
Managed Online Endpoints
Why This Answer Is Correct
Managed Online Endpoints in Azure ML provide a production-ready, fully managed solution for deploying models as scalable web services to enable real-time, low-latency scoring and inferencing via REST APIs.
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'?