Which Azure Machine Learning capability should you use to quickly build and deploy a predictive model without extensive coding?

The correct answer is D. automated machine learning (automated ML). To easily build and deploy a predictive model using Azure Machine Learning, start by selecting the appropriate tools for your task, such as Azure Machine Learning Studio or AutoML, and follow a streamlined process of data preparation, model training, and deployment. AutoML…

Submitted by khalil_dz· Mar 30, 2026ERROR: Official Exam Domains list was not provided in the prompt

Question

Which Azure Machine Learning capability should you use to quickly build and deploy a predictive model without extensive coding?

Options

AML pipelines
BCopilot
CDALL-E
Dautomated machine learning (automated ML)

How the community answered

(56 responses)

A
5% (3)
B
2% (1)
C
2% (1)
D
91% (51)

Explanation

To easily build and deploy a predictive model using Azure Machine Learning, start by selecting the appropriate tools for your task, such as Azure Machine Learning Studio or AutoML, and follow a streamlined process of data preparation, model training, and deployment. AutoML stands for Automated Machine Learning. It's a process that automates the various tasks involved in building machine learning models, including data preparation, feature selection, model training, hyperparameter tuning, and model evaluation, according to IBM. This automation makes machine learning more accessible to a wider range of users, including those without extensive machine learning expertise. https://learn.microsoft.com/en-us/azure/machine-learning/concept-automated-ml?view=azureml-

Topics

#Azure automated ML#No-code ML#Predictive modeling

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