DP-100 · Question #536
DP-100 Question #536: Real Exam Question with Answer & Explanation
The correct answer is B: command_component(). Create and run machine learning pipelines using components with the Azure Machine Learning Define component using Python function By using command_component() function as a decorator, you can easily define the component's interface, metadata and code to execute from a Python func
Question
You manage an Azure Machine Learning workspace. You build an Azure Machine Learning pipeline for image classification by using custom components. You need to define the interface, metadata, and code to execute components from a Python function. Which function should you use?
Options
- Aload_component()
- Bcommand_component()
- Ccreate_or_update()
- Dfrom_config()
Explanation
Create and run machine learning pipelines using components with the Azure Machine Learning Define component using Python function By using command_component() function as a decorator, you can easily define the component's interface, metadata and code to execute from a Python function. Each decorated Python function will be transformed into a single static specification (YAML) that the pipeline service can process. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-component-pipeline-
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