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AI-900: Azure Machine Learning designer components

Learn about the components that you can drag onto a canvas in Azure Machine Learning designer, and how to answer a related question in the AI-900 exam.


Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A. dataset
B. compute
C. pipeline
D. module


A. dataset
D. module


You can drag-and-drop datasets and modules onto the canvas.

The correct answer is A and D. You can drag a dataset and a module onto a canvas in Azure Machine Learning designer. A dataset is a data asset that you can use as an input for a module. A module is a building block that performs a specific machine learning task, such as data transformation, model training, or model evaluation. You cannot drag a compute or a pipeline onto a canvas, as they are not assets that can be connected to other components. A compute is a resource that runs your pipeline, and a pipeline is a workflow of connected modules that you can submit as a job.

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.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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