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.
Table of Contents
Question
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
Answer
A. dataset
D. module
Explanation
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.
