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Azure Data Engineer Associate Certification Guide

You're reading from   Azure Data Engineer Associate Certification Guide A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam

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Product type Paperback
Published in Feb 2022
Publisher Packt
ISBN-13 9781801816069
Length 574 pages
Edition 1st Edition
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Author (1):
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Newton Alex Newton Alex
Author Profile Icon Newton Alex
Newton Alex
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Toc

Table of Contents (23) Chapters Close

Preface 1. Part 1: Azure Basics
2. Chapter 1: Introducing Azure Basics FREE CHAPTER 3. Part 2: Data Storage
4. Chapter 2: Designing a Data Storage Structure 5. Chapter 3: Designing a Partition Strategy 6. Chapter 4: Designing the Serving Layer 7. Chapter 5: Implementing Physical Data Storage Structures 8. Chapter 6: Implementing Logical Data Structures 9. Chapter 7: Implementing the Serving Layer 10. Part 3: Design and Develop Data Processing (25-30%)
11. Chapter 8: Ingesting and Transforming Data 12. Chapter 9: Designing and Developing a Batch Processing Solution 13. Chapter 10: Designing and Developing a Stream Processing Solution 14. Chapter 11: Managing Batches and Pipelines 15. Part 4: Design and Implement Data Security (10-15%)
16. Chapter 12: Designing Security for Data Policies and Standards 17. Part 5: Monitor and Optimize Data Storage and Data Processing (10-15%)
18. Chapter 13: Monitoring Data Storage and Data Processing 19. Chapter 14: Optimizing and Troubleshooting Data Storage and Data Processing 20. Part 6: Practice Exercises
21. Chapter 15: Sample Questions with Solutions 22. Other Books You May Enjoy

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...
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