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

Sample questions and answers

In this section, you will see sample questions about Microsoft tools. Do not be alarmed; we will cover them in the next chapters, but usually, the data analytics concepts are evaluated in DP-900 asking questions or analyzing implementation scenarios in Microsoft analytics platforms.

Here are some questions:

  1. You’ve gathered data in a variety of formats from a variety of sources. Now, you must convert the data into a single, consistent format. Which of the following processes would you use?
    1. Data ingestion
    2. Data modeling
    3. Data storage
    4. Dataset
  2. The process of transforming and translating raw data into a more useable format for analysis is known as ____________:
    1. Data cleaning
    2. Data ingestion
    3. Data modeling
    4. Data analysis
  3. Choose the best sequence for putting the ELT process into action on Azure:
    1. Prepare the data for loading by extracting the source data into text files. Use PolyBase or the COPY command to load the data into staging tables. Transform...