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Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide

Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide

By : Steve Miles
5 (2)
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Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide

Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide

5 (2)
By: Steve Miles

Overview of this book

Microsoft's Azure Data Fundamentals (DP-900) certification exam validates your expertise in core data concepts and Azure’s powerful data services capabilities. This comprehensive guide written by Steve Miles—a Microsoft Azure MVP and certified trainer with over 25 years of experience in cloud data services and 30+ certifications across major platforms—serves as your gateway to a future shaped by data and AI, regardless of your technical background. With the help of examples, you'll learn fundamental data concepts, including data representation, data storage options, and common workloads and gain clarity on the roles and responsibilities of key data professionals such as data administrators, engineers, and analysts. This guide covers all crucial exam domains, from data services capabilities of the Azure cloud platform to considerations for relational, non-relational, and analytics workloads, encompassing both Microsoft and open-source technologies. To supplement your exam prep, this book gives you access to a suite of online resources designed to boost your confidence, including mock tests, interactive flashcards, and invaluable exam tips By the end of this book, you’ll be fully prepared not only to pass the DP-900 exam but also to confidently tackle data solutions in Azure, setting a strong foundation for your data-driven career
Table of Contents (11 chapters)
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Identify the Capabilities of Power BI

Data visualization is an integral component of any data analytics solution.

Data visualization makes it easier to look at vast amounts of data and identify patterns, trends, and relationships that might not be obvious. Interactive and engaging presentation of the data focuses the attention of stakeholders on its significance, meaning, and the importance of the insights that can be gathered from it. This process leads to better-informed decision-making and increased understanding, allowing organizations to make decisions about factors that will generate growth, improved performance, and customer satisfaction.

Consider the sales data of thousands of products across multiple regions and stores over several months. When this data is stored in spreadsheets or databases, it’s not easy to spot patterns, trends, or outliers. Important details such as which products are performing well, which regions are lagging, or which time periods see the...

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