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Prepare for Microsoft Exam DP-100 and demonstrate your real-world knowledge of managing data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python, Azure Machine Learning, and MLflow. Designed for professionals with data science experience, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Scientist Associate level.
Focus on the expertise measured by these objectives:
This Microsoft Exam Ref:
About the Exam
Exam DP-100 focuses on knowledge needed to design and prepare a machine learning solution, manage an Azure Machine Learning workspace, explore data and train models, create models by using the Azure Machine Learning designer, prepare a model for deployment, manage models in Azure Machine Learning, deploy and retrain a model, and apply machine learning operations (MLOps) practices.
About Microsoft Certification
Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Scientist Associate credential, demonstrating your expertise in applying data science and machine learning to implement and run machine learning workloads on Azure, including knowledge and experience using Azure Machine Learning and MLflow.
Chapter 1: Design and Prepare a Machine Learning Solution
Chapter 2: Explore Data and Train Models
Chapter 3: Prepare a Model for Deployment
Chapter 4: Deploy and Retrain a Model
Chapter 5: Exam DP-100: Designing and Implementing a Data Science Solution on Azure - updates