AI-900: Optimal Sequence for Deploying Azure Machine Learning Models as a Service

Discover the essential steps to follow when deploying an Azure Machine Learning model as a service. Ensure a seamless deployment process by understanding the three critical processes that need to be performed in the correct sequence. Learn how to maximize the efficiency and effectiveness of your model deployment for client applications.

Question 527

You plan to deploy an Azure Machine Learning model as a service that will be used by client applications. Which three processes should you perform in sequence before you deploy the model? (To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.)

Processes:

• data encryption
• model retraining
• model training
• data preparation
• model evaluation

Answer

• data preparation
• model training
• model evaluation

References

Microsoft Docs > Azure > Machine Learning > What are Azure Machine Learning pipelines?

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.