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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 Blob Storage

Binary large objects (Blobs) provide extremely scalable and inexpensive object storage and are one of the core building block elements of the Microsoft Azure cloud computing platform.

Blob storage stores unstructured data, such as images and audio files held in logical stores for data that can be retrieved via API calls using a globally unique identifier for each stored blob. Workloads “call” the Azure Blob storage API for read and write operations. Each blob item holds metadata and has a unique identifier.

Blob storage should be used when storing data that does not fit into a file system with traditional file-level access protocols such as SMB and NFS or relational databases such as Microsoft SQL.

Figure 4.2 illustrates data object organization for the Blob storage service:

Figure 4.2: Blob storage service data organization

Figure 4.2: Blob storage service data organization

Figure 4.2 shows that Blob storage has a flat namespace that uses virtual directories...

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