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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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Describe Ways to Represent Data

This book’s first content section introduces you to data concepts and terminology. We will look at what data is, its definition, and how and why it is structured differently. Data structures are specialized formats for organizing, processing, retrieving, and storing data. They are essential for efficient data management and manipulation in computing.

What is Data?

Data is essentially information. When we are talking about modern IT systems, this data is stored as values and can be anything from a person’s age stored in a database to a two-hour film stored in the servers of an on-demand video-streaming service.

All data starts as “raw data,” collected from different sources without order and classification. Generally, this data needs to be filtered, sorted, and analyzed before it can be used. Raw data can be likened to crude oil; its potential and value cannot be derived when raw without action being taken to transform...

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