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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 a Pipeline Alert Strategy

Implementing a pipeline alert strategy in Azure is a proactive approach to detect and address issues, ensuring seamless data flow and minimizing disruptions. Key considerations include knowing the challenges pipelines may face, such as data skew or resource bottlenecks, and implementing alerts to notify specific conditions such as data spillage, excessive resource utilization, or pipeline failures. You can achieve this by leveraging Azure services such as Azure Monitor, ADF, or Azure Synapse Pipelines to set up alerts based on predefined thresholds or custom conditions. Alert types encompass pipeline failures due to connectivity issues or incorrect configurations, monitoring resource consumption to prevent exceedance, identifying data spillage or skew, and tracking pipeline execution time or data delivery delays.

Note

This section primarily focuses on the Implement a pipeline alert strategy concept of the DP-203: Data Engineering on Microsoft...

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