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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 Cosmos DB APIs

Azure Cosmos DB provides multiple data interaction APIs, such as the API for NoSQL, which is native to Azure Cosmos DB. These APIs can be used when the data is key-value pairs, documents (JSON, XML), columns, or graphs.

The following APIs are supported:

  • SQL API: Based on a document data store
  • MongoDB API: Based on a document data store
  • Cassandra API: Based on a column data store
  • Azure Table API: Based on a key-value data store
  • Gremlin API: Based on a graph data store

Each API has use cases that best meet specific needs and preferences. The core SQL API is best for applications needing rich SQL-like querying capabilities, such as e-commerce platforms; the MongoDB API is ideal for document-oriented NoSQL databases, and is often used in social media apps; the Cassandra API is suited for high-throughput key-value stores, which is great for time-series data; the Gremlin API is perfect for graph-based data, such as social networks...

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