Learn what Azure Machine Learning designer is, how it enables you to build machine learning pipelines without writing code, and why it is a great tool for data science teams.
Table of Contents
Question
Which description best defines the Azure Machine Learning Designer?
A. This is a software development environment for data design.
B. This is a graphic interface enabling no-code development of machine learning solutions.
C. This is a programmatic interface that requires code to develop machine learning solutions.
Answer
B. This is a graphic interface enabling no-code development of machine learning solutions.
Explanation
Azure Machine Learning Designer is a graphical interface that enables no-code development of machine learning solutions.
The correct answer is B. This is a graphic interface enabling no-code development of machine learning solutions.
Azure Machine Learning designer is a drag-and-drop UI interface for building machine learning pipelines in Azure Machine Learning Workspaces. You can use designer to create, test, and deploy machine learning models without writing any code, by using pre-built or custom components that represent data sources, data transformations, machine learning algorithms, and scoring and evaluation methods.
Designer also allows you to customize your pipelines using Python and R code, and to connect to various data sources including Azure Blob Storage, Azure Data Lake Storage, Azure SQL, or upload data from a local file. Designer is a tool that simplifies and accelerates the process of building, testing, and deploying machine learning models for the entire data science team, from beginners to professionals.
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