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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 Consideration for Real-Time Data Analytics

Sometimes, big data analytics needs to be done in near-real time – for example, in some domains of financial trading, fraud detection, or cybersecurity. For that purpose, Big Data real-time analytical solutions are required.

For instance, with the help of some real-time data analytics solutions, you can easily determine stock price trends and make predictions on the market to make trading decisions. You can also learn about potential frauds committed against your accounts using real-time data analytics solutions; user and transactional data helps a great deal in discovering frauds.

Real-time data analytics solutions train machine learning models on large amounts of historical data from various sources. They can identify patterns, anomalies, and trends faster and more precisely than a human worker ever could. Up-to-the-minute or near-real-time insights, produced by real-time data analytics solutions, are typically exhibited...

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