BenchMark Quizzes by MDFT Pro

Identify First Step For Azure Machine Learning Setup

Mark, the Machine Learning Infrastructure Manager at MDFT Pro, is setting up Azure Machine Learning capabilities for the company’s data science team to build predictive models for student success and course optimization. MDFT Pro, a well-known training agency, wants to use automated machine learning to develop models that can predict student performance, recommend courses, and optimize training schedules. Mark needs to establish the proper Azure ML environment before the data science team can begin uploading datasets, creating experiments, and training models using automated machine learning features.

What is the first component Mark should create to enable Azure Machine Learning and automated ML development for the team?

Choose the correct answer from the options below.

Explanations for each answer:

A Machine Learning designer pipeline is incorrect. Designer pipelines are created within an existing workspace and require a workspace to be established first before building visual ML workflows.
A Machine Learning workspace is correct. A Machine Learning workspace is the foundational resource that provides the environment and infrastructure needed for all Azure ML activities including automated ML experiments.
A Jupyter notebook is incorrect. Jupyter notebooks are created and run within an existing Machine Learning workspace, so the workspace must be created first.
A registered dataset is incorrect. Datasets are registered and managed within a workspace, requiring the workspace infrastructure to exist before data can be uploaded and registered.

Learn more about Machine Learning workspaces:

Machine Learning Workspaces

Exam Preparation Quiz

Identify First Step For Azure Machine Learning Setup