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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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Identify Appropriate Visualizations for Data

Once a model has been implemented, reports can be created that include the data visualizations generated.

Power BI allows users to create these customized visualizations using built-in capabilities, such as charts, graphs, maps, and tables. These allow users to understand the significance of data and communicate insights effectively; they can provide patterns and trends and allow you to make data-driven decisions.

The following are some common visualizations that are used in reports and dashboards:

  • Table: These are the easiest methods to represent data. Tables are very useful when lots of values are related to each other.
  • Bar and column chart: These include at least two fixed values associated with discrete categories. They are generally used to support visual comparisons of discrete numeric values.
  • Line chart: These can be used to compare categorized values and are useful when depicting how things change or examining...
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