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Featuring 50 multiple-choice questions with unlimited attempts, this practice exam tests your ability to find the best classifier using Automated Machine Learning (AutoML) and train models in Jupyter Notebooks with MLflow. You'll evaluate models, tune hyperparameters, and track experiments to reinforce scalable machine learning practices in Azure environments. This practice exam is part of the preparation series for DP-100: Designing and Implementing a Data Science Solution on Azure.

Featuring 40 multiple-choice questions with unlimited attempts, this practice exam focuses on deploying machine learning models in Azure. You'll learn to deploy models to managed online endpoints for real-time inference and to batch endpoints for processing large volumes of data asynchronously. This practice exam is part of the preparation series for DP-100: Designing and Implementing a Data Science Solution on Azure.

Featuring 40 multiple-choice questions with unlimited attempts, this practice exam focuses on building AI-powered applications using the Azure AI Foundry. You'll learn how to build apps with the Azure AI Foundry SDK and create language model applications using prompt flow, enabling you to design, orchestrate, and deploy LLM-powered solutions in scalable cloud environments. This practice exam is part of the preparation series for DP-100: Designing and Implementing a Data Science Solution on Azure.