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

You're reading from   Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide The comprehensive guide to passing the DP-900 exam on your first attempt

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781803240633
Length 300 pages
Edition 1st Edition
Languages
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Author (1):
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Marcelo Leite Marcelo Leite
Author Profile Icon Marcelo Leite
Marcelo Leite
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Core Data Concepts
2. Chapter 1: Understanding the Core Data Terminologies FREE CHAPTER 3. Chapter 2: Exploring the Roles and Responsibilities in Data Domain 4. Chapter 3: Working with Relational Data 5. Chapter 4: Working with Non-Relational Data 6. Chapter 5: Exploring Data Analytics Concepts 7. Part 2: Relational Data in Azure
8. Chapter 6: Integrating Relational Data on Azure 9. Chapter 7: Provisioning and Configuring Relational Database Services in Azure 10. Chapter 8: Querying Relational Data in Azure 11. Part 3: Non-Relational Data in Azure
12. Chapter 9: Exploring Non-Relational Data Offerings in Azure 13. Chapter 10: Provisioning and Configuring Non-Relational Data Services in Azure 14. Part 4: Analytics Workload on Azure
15. Chapter 11: Components of a Modern Data Warehouse 16. Chapter 12: Provisioning and Configuring Large-Scale Data Analytics in Azure 17. Chapter 13: Working with Power BI 18. Chapter 14: DP-900 Mock Exam 19. Index 20. Other Books You May Enjoy

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...
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