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Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide - Second Edition

By : Palmieri, Surendra Mettapalli, Alex
4.6 (16)
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Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide

4.6 (16)
By: Palmieri, Surendra Mettapalli, Alex

Overview of this book

One of the top global cloud providers, Azure offers extensive data hosting and processing services, driving widespread cloud adoption and creating a high demand for skilled data engineers. The Azure Data Engineer Associate (DP-203) certification is a vital credential, demonstrating your proficiency as an Azure data engineer to prospective employers. This comprehensive exam guide is designed for both beginners and seasoned professionals, aligned with the latest DP-203 certification exam, to help you pass the exam on your first try. The book provides a foundational understanding of IaaS, PaaS, and SaaS, starting with core concepts like virtual machines (VMs), VNETS, and App Services and progressing to advanced topics such as data storage, processing, and security. What sets this exam guide apart is its hands-on approach, seamlessly integrating theory with practice through real-world examples, practical exercises, and insights into Azure's evolving ecosystem. Additionally, you'll unlock lifetime access to supplementary practice material on an online platform, including mock exams, interactive flashcards, and exam tips, ensuring a comprehensive exam prep experience. By the end of this book, you’ll not only be ready to excel in the DP-203 exam, but also be equipped to tackle complex challenges as an Azure data engineer.
Table of Contents (17 chapters)
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Lock Free Chapter
1
Part 1: Azure Basics
3
Part 2: Data Storage
6
Part 3:Data Processing
11
Part 4:Secure, Monitor, and Optimize Data Storage and Processing

Implementing Data Security

In this chapter, you will learn how to recognize sensitive information and implement various sensitive information-handling techniques, such as data masking, row- and column-level security, role-based access and access-controlled lists, encryption, and more. These skills will enable you to design and maintain the security of your data lake and ensure customer privacy.

Note

This chapter primarily focuses on the Implementing data security topic of the DP-203: Data Engineering on Microsoft Azure exam.

By the end of this chapter, you will be able to answer questions on the following confidently:

  • Data masking and data encryption for data at rest and in motion
  • Row-level and column-level security
  • Azure Role-Based Access Control (RBAC)
  • POSIX-like Access Control Lists (ACLs) for ADLS Gen2
  • Data retention policy and secure endpoints (private and public)
  • Resource tokens in Azure Databricks
  • DataFrames and sensitive information
  • ...
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Azure Data Engineer Associate Certification Guide
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