Microsoft Azure AI Fundamentals AI-900 Practice Question
Sarah is a data analyst who needs to create a predictive model for sales forecasting but has limited experience in machine learning. She wants to use an Azure Machine Learning feature that simplifies the model creation process by automatically exploring different algorithms and tuning parameters.
Sarah should use Automated Machine Learning. This feature in Azure Machine Learning automates the process of model selection and hyperparameter tuning by experimenting with multiple algorithms and configurations to find the best model for her data. It is designed to help users who may not have deep machine learning expertise.
The Azure Machine Learning Designer allows users to build models using a drag-and-drop interface but still requires manual selection and tuning of algorithms.
Azure Data Lake Analytics is used for big data processing and query jobs, not for training machine learning models.
Azure Cognitive Services provide pre-built AI capabilities but do not allow for custom model training specific to Sarah's sales forecasting needs.
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Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
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