Book Image

Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide

By : Marcelo Leite
5 (1)
Book Image

Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide

5 (1)
By: Marcelo Leite

Overview of this book

Passing the DP-900 Microsoft Azure Data Fundamentals exam opens the door to a myriad of opportunities for working with data services in the cloud. But it is not an easy exam and you'll need a guide to set you up for success and prepare you for a career in Microsoft Azure. Absolutely everything you need to pass the DP-900 exam is covered in this concise handbook. After an introductory chapter covering the core terms and concepts, you'll go through the various roles related to working with data in the cloud and learn the similarities and differences between relational and non-relational databases. This foundational knowledge is crucial, as you'll learn how to provision and deploy Azure's relational and non-relational services in detail later in the book. You'll also gain an understanding of how to glean insights with data analytics at both small and large scales, and how to visualize your insights with Power BI. Once you reach the end of the book, you'll be able to test your knowledge with practice tests with detailed explanations of the correct answers. By the end of this book, you will be armed with the knowledge and confidence to not only pass the DP-900 exam but also have a solid foundation from which to embark on a career in Azure data services.
Table of Contents (21 chapters)
1
Part 1: Core Data Concepts
7
Part 2: Relational Data in Azure
11
Part 3: Non-Relational Data in Azure
14
Part 4: Analytics Workload on Azure

Different workforces in a data domain

Roles with technical activities and other process-oriented roles in business coexist in a modern data team. These complementary roles are important for developing solutions, not only for storing data properly but also for data analysis and generating insights connected to business needs.

Most common roles in a data domain

The basic roles of a data domain, found in most organizations, are as follows:

  1. Database Administrator (DBA): This is the administrator of database platforms. Being a technical profile, they are responsible for keeping platforms available, secure, and with adequate access control.
  2. Data engineer: Being a technical profile, the data engineer is responsible for working with data, performing integrations, aggregations, calculations, modeling, and so on that are necessary for information and insights generation.
  3. Data analyst: The data analyst is necessary for establishing the connection of a data team with the...