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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 Azure Table Storage

Azure Table storage is a cloud-based NoSQL key-value store with high scalability, flexibility, and performance for storing large amounts of non-relational structured data. It is a good fit for workloads that require fast, scalable, and highly flexible data storage.

Figure 4.5 illustrates data organization for the Azure Table service:

Figure 4.5: Azure Table storage service data organization

Figure 4.5: Azure Table storage service data organization

Table storage allows you to store and query data using a simple schema-less design, which means that if your application needs to change, you can add or remove columns.

Table storage provides several features that enable you to manage your data effectively and speed up access, such as partitions (segments used to organize and distribute data across multiple servers for efficient querying and scaling), batch transactions to perform multiple operations atomically, and point-in-time recovery to recover your data to a specific point in...

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