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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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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
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Part 4:Secure, Monitor, and Optimize Data Storage and Processing

The Secure, Monitor, and Optimize Data Storage and Data Processing domain in the DP-203: Data Engineering on Microsoft Azure exam focuses on the crucial aspects of data management and performance in Azure environments.

This domain will cover the implementation of data security capabilities for data storage and processing services. This includes exploring data protection techniques such as encryption in transit and at rest, managing keys and secrets, and implementing data masking. You will also review access control mechanisms to manage permissions and secure data access using Role-Based Access Control (RBAC).

Additionally, you will delve into monitoring data storage and processing with tools such as Azure Monitor and Azure Log Analytics. These tools help track performance metrics and logs, enabling you to interpret monitoring data to know the health and performance of data systems. You will then set up alerts for...

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