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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
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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

Try to answer the following questions to test your knowledge:

  1. Which two Azure data services enable clusters of Apache Spark?
    1. Azure Synapse Analytics
    2. Azure Data Factory
    3. Azure Databricks
    4. Azure Cosmos DB
  2. You use the Azure Data Factory service to create a data ingestion and transformation solution. Data from an Azure SQL database is required. Which two sources should you employ?
    1. Linked service
    2. Copy data activity
    3. Azure Databricks notebook
    4. Dataset
  3. How should you name the data that you want to consume for processing using an Azure Data Factory component?
    1. Pipelines
    2. Datasets
    3. Linked services
    4. Notebooks
  4. For which reason should you use a modern data warehouse?
    1. Perform sales forecast analyses
    2. Explore daily sales transactions
    3. Monitor sales performance KPIs
    4. All of the above
  5. Which of the components of Azure Synapse Analytics allows you to train AI models using Azure ML?
    1. Synapse Pipelines
    2. Synapse Spark
    3. Synapse Studio
    4. Synapse SQL Pool

Answer key

1-A C 2-A, B...

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