Question

Azure ML studio enables which of the following to perform efficiently?
Model Selection
Model Training
Model Testing and Deployment
All the options

Answer 1

Answer:

Model Testing And Development

Answer 2

Answer:

The correct answer for the capabilities of Azure ML studio is found to be option (d) All the options.

Explanation:

• Azure ML Studio is a workspace for creating, building and training machine learning models. It's a drag and drop tool (Azure Machine Learning Designer) that allows you to drag datasets to further process the analysis of that data. We offer both no-code and low-code options for your projects.  
• ML Studio (classic) was the first drag-and-drop tool that is a standalone service that provides a visual experience but  does not interact with Azure ML.
• Released in 2015. ML Studio (classic) does not support Code SDK, ML Pipeline, Automatic Model Training, MLOP base models and many other missing features  that are now part of Azure Machine Learning Studio.

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