Book Image

Salesforce Data Architect Certification Guide

By : Aaron Allport
Book Image

Salesforce Data Architect Certification Guide

By: Aaron Allport

Overview of this book

The Salesforce Data Architect is a prerequisite exam for the Application Architect half of the Salesforce Certified Technical Architect credential. This book offers complete, up-to-date coverage of the Salesforce Data Architect exam so you can take it with confidence. The book is written in a clear, succinct way with self-assessment and practice exam questions, covering all the topics necessary to help you pass the exam with ease. You’ll understand the theory around Salesforce data modeling, database design, master data management (MDM), Salesforce data management (SDM), and data governance. Additionally, performance considerations associated with large data volumes will be covered. You’ll also get to grips with data migration and understand the supporting theory needed to achieve Salesforce Data Architect certification. By the end of this Salesforce book, you'll have covered everything you need to know to pass the Salesforce Data Architect certification exam and have a handy, on-the-job desktop reference guide to re-visit the concepts.
Table of Contents (23 chapters)
1
Section 1: Salesforce Data Architect Theory
9
Section 2: Salesforce Data Architect Design
15
Section 3: Applying What We've Learned – Practice Questions and Revision Aids

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...