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

Summary

To implement a project with large-scale data analytics, Azure offers a variety of solutions, such as Azure Synapse Analytics, Azure Databricks, Azure HDInsights, Azure Machine Learning, and Azure Data Explorer, among others.

The DP-900 exam requires the knowledge to explore these options, with a greater focus on the motivations for using each tool, and has some more detailed questions based on Azure Synapse Analytics, which is the main Azure platform for these projects. The knowledge gained in this chapter and our exploration of the tool is not only very important for answering these questions but also for directing your path when it comes to a real-life project.

To sum up what we covered in the chapter, we started by exploring the SQL pools further – serverless and dedicated – executing SQL scripts to exercise them. Then, we had an overview of the Spark pools, Data Explorer pools, Azure Synapse Link, and the integration of Azure Synapse with Azure Machine...