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

Tasks and tools for database administration profiles

To support database administration activities, which can be plentiful, it is necessary to have the appropriate tools for each operation, ensuring scalability, security, and productivity in the administration.

Tasks of the DBA

The tasks performed by the DBA vary greatly from organization to organization, and in the different database solutions being used. The following are some examples of the key tasks:

  • Choosing the best data storage options based on the project requirements
  • Defining a database capacity plan
  • Installing and configuring databases and database tools
  • Defining and implementing a data model (normalizing tables, primary and secondary keys definition, indexes in tables, and so on)
  • Defining database access roles and managing these accesses
  • Defining database availability requirements and defining/implementing high availability, load balancing, backup and restore strategies, and disaster recovery...