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  • Book Overview & Buying Azure Data Engineer Associate Certification Guide
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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

Configuring Exception Handling

In the Creating Tests for Data Pipelines section, you learned that a pipeline run can terminate with a failure due to an unhandled error. Just like, when developing code, you tend to attempt to prevent exception errors such as expected file missing from happening, and handle them before they result in a failure, in pipelines, you connect one activity to the next using one of the four available dependency conditions: On Success (green arrow), On Fail (red arrow), On Completion (blue arrow), and On Skip (gray arrow).

In particular, you can use On Fail to connect your action with another action that can provide a workaround or a limitation strategy for that possible failure. If no workaround is possible, your exception-handling action can just be to log the problem and maybe send an alert. In any case, the exception will be considered handled, and the pipeline will not appear as a failure, provided, of course, that the handling action is in turn executed...

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