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

Understanding the Core Data Terminologies

Welcome, dear reader!

This book has been prepared based on the knowledge that you need to pass the Azure DP-900 Data Platform Fundamentals exam. So, you will find detailed use cases, hand's-on exercises, as well as sample questions and answers to help you during the exam.

This book will not only prepare you for certification but also complement the knowledge needed for planning and working in a data organization. You can look forward to learning about transactional and analytical database concepts, SQL and NoSQL, when to use each option, and the most modern tools and techniques for implementation on Azure.

Data generation and data processing have been growing exponentially in recent years. Data is being generated and processed everywhere: in information systems, cell phones, smart watches, smart TVs, city buses, subways, and cars, among others. Knowing how to capture and process this data to generate intelligence provides today’s main competitive advantage in the market.

To start understanding how these technologies and solutions work, it is necessary to know the concepts of data storage and processing, which we will cover in this introductory chapter.

By the end of this chapter, you will be able to understand the following:

  • The types of data and how to store it
  • Relational and non-relational data
  • Data Analytics
  • How to differentiate the data workloads