Microsoft Azure AI Fundamentals AI-900 Practice Question
A company wants to develop a machine learning model for sales forecasting but has limited resources to manually select algorithms and optimize parameters. Which Azure Machine Learning feature simplifies this process by handling algorithm selection and parameter tuning?
Using pre-trained models from Azure Cognitive Services
Automated Machine Learning is the correct answer. It allows users to automatically train and tune machine learning models by selecting the best algorithms and hyperparameters for a given dataset and problem type, reducing the need for manual intervention.
Azure Machine Learning Designer provides a drag-and-drop interface for building models but still requires users to manually select algorithms and tune parameters.
Custom model training with the Azure ML SDK involves writing code and manually handling the training process, which can be resource-intensive.
Using pre-trained models from Azure Cognitive Services offers models for specific tasks but doesn't allow customization for the company's sales forecasting data.
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Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
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