Prepare for Microsoft Exam DP-100-and help demonstrate your real-world mastery of the various data science components of Microsoft Azure. Designed for IT professionals, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Focus on the expertise measured by these objectives: Set up an Azure Machine Learning workspace Run experiments and train models Optimize and manage models Deploy and consume models This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a business user, IT professional, or student interested in cloud computing and technologies, including individuals planning to pursue more advanced Microsoft 365 certification About the Exam Exam DP-100 focuses on knowledge needed to apply scientific rigor and data exploration techniques to gain actionable insights and communicate results to stakeholders; use machine learning techniques to train, evaluate, and deploy models to build AI solutions that satisfy business objectives; use applications that involve natural language processing, speech, computer vision, and predictive analytics. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Scientist Associate credential, demonstrating that you understand how to implement and run machine learning workloads on Microsoft Azure; in particular, using Azure Machine Learning Service. See full details at: www.microsoft.com/learnAbout the Author: Stefano Tucci is a Developer and Data Analytics Consultant. He is born in Italy and has a strong DB and BI background as well as a special interest in scripting languages like SQL, U-SQL, R, Python, C#, .NET, HTML, JS, and CSS. He has a Bachelor's degree in Economics and Management and a Master's degree in IT Security and Computer Forensics. He is currently studying for a fourth degree in Computer Engineering. He works in the IT department of an international company. Stefano is enthusiastic about technology, especially Microsoft technology.