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Salesforce Data Architect Certification Guide

You're reading from   Salesforce Data Architect Certification Guide Comprehensive coverage of the Salesforce Data Architect exam content to help you pass on the first attempt

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781801813556
Length 254 pages
Edition 1st Edition
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Author (1):
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Aaron Allport Aaron Allport
Author Profile Icon Aaron Allport
Aaron Allport
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Toc

Table of Contents (23) Chapters Close

Preface 1. Section 1: Salesforce Data Architect Theory
2. Chapter 1: Introducing the Salesforce Data Architect Journey FREE CHAPTER 3. Chapter 2: Data Modeling and Database Design 4. Chapter 3: Master Data Management 5. Chapter 4: Salesforce Data Management 6. Chapter 5: Data Governance 7. Chapter 6: Understanding Large Data Volumes 8. Chapter 7: Data Migration 9. Section 2: Salesforce Data Architect Design
10. Chapter 8: Accounts and Contacts 11. Chapter 9: Data APIs and Apex 12. Chapter 10: Tuning Performance 13. Chapter 11: Backup and Restore 14. Chapter 12: Territory Management 15. Section 3: Applying What We've Learned – Practice Questions and Revision Aids
16. Chapter 13: Practice Exam Questions 17. Chapter 14: Cheat Sheets 18. Chapter 15: Further Resources 19. Chapter 16: How to Take the Exam 20. Chapter 17: Answers to Practice Questions 21. Index 22. Other Books You May Enjoy

Summary

Data governance accounts for 10% of the Salesforce Certified Data Architect exam testing criteria.

First, we looked at compliance and how it must be considered (using the GDPR as an example) when implementing a data model in Salesforce. Some companies and industries need to demonstrate compliance when safeguarding people’s data according to a particular regulation or act of law. For example, a UK bank needs to adhere to the GDPR to safeguard customer data. If their Salesforce solution weren’t implemented with a consideration of the GDPR, they may be subject to fines and forced to take remedial action. Then, we covered practical tips on how we can adhere to certain data standards or regulations, such as using classic encryption or Shield Encryption.

After that, we turned our attention to enterprise data governance, diving into the various roles and responsibilities that are involved in how organizations safeguard, process, and manage data.

When combined...

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