Book Image

Azure Data Engineer Associate Certification Guide

By : Newton Alex
Book Image

Azure Data Engineer Associate Certification Guide

By: Newton Alex

Overview of this book

Azure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other. Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you’ll work on sample questions and answers to familiarize yourself with the pattern of the exam. By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data engineering.
Table of Contents (23 chapters)
1
Part 1: Azure Basics
3
Part 2: Data Storage
10
Part 3: Design and Develop Data Processing (25-30%)
15
Part 4: Design and Implement Data Security (10-15%)
17
Part 5: Monitor and Optimize Data Storage and Data Processing (10-15%)
20
Part 6: Practice Exercises

Handling failed Batch loads

An Azure Batch job can fail due to four types of errors:

  • Pool errors
  • Node errors
  • Job errors
  • Task errors

Let's look at some of the common errors in each group and ways to handle them.

Pool errors

Pool errors occur mostly due to infrastructure issues, quota issues, or timeout issues. Here are some sample pool errors:

  • Insufficient quota: If there is not enough of a quota for your Batch account, pool creation could fail. The mitigation is to request an increase in quota. You can check the quota limits here: https://docs.microsoft.com/en-us/azure/batch/batch-quota-limit.
  • Insufficient resources in your VNet: If your virtual network (VNet) doesn't have enough resources, such as available IP addresses, Network Security Groups (NSGs), VMs, and so on, the pool creation process may fail. The mitigation is to look for these errors and request higher resource allocation or move to a different VNet that has enough...