BenchMark Quizzes by MDFT Pro

Identify Enterprise Workspace Requirements

Claire, the Data Science Operations Manager at MDFT Pro, is planning the Azure Machine Learning infrastructure for the company’s advanced analytics initiatives. MDFT Pro, a well-known training agency, needs to implement machine learning solutions for student performance prediction, course recommendation systems, and automated content personalization. The team includes both experienced data scientists who prefer coding environments and business analysts who need visual, drag-and-drop interfaces for building models. Claire must decide between basic and enterprise workspace tiers to ensure the team has access to all necessary capabilities while managing costs effectively.

Which two tasks require an enterprise workspace in Azure Machine Learning?

Choose all correct answers from the options below.

Explanations for each answer:

Use a graphical user interface (GUI) to run automated machine learning experiments is correct. Enterprise workspaces provide advanced GUI capabilities for automated ML experiments with additional enterprise features and security controls.
Create a compute instance to use as a workstation is incorrect. Both basic and enterprise workspaces support creating compute instances for development and experimentation workloads.
Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer is correct. Azure Machine Learning designer's visual interface for building ML pipelines requires enterprise workspace capabilities for full functionality.
Create a dataset from a comma-separated value (CSV) file is incorrect. Dataset creation from CSV files is a basic feature available in both workspace tiers and doesn't require enterprise-level capabilities.

Learn more about Azure ML workspaces:

Azure ML Workspaces

Exam Preparation Quiz

Identify Enterprise Workspace Requirements