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Salesforce Data Architecture and Management

You're reading from  Salesforce Data Architecture and Management

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781801073240
Pages 376 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Ahsan Zafar Ahsan Zafar
Profile icon Ahsan Zafar
Toc

Table of Contents (14) Chapters close

Preface 1. Section 1: Data Architecture and Data Management Essentials
2. Chapter 1:Data Architect Roles and Responsibilities 3. Chapter 2: Understanding Salesforce Objects and Data Modeling 4. Chapter 3: Understanding Data Management 5. Section 2: Salesforce Data Governance and Master Data Management
6. Chapter 4: Making Sense of Master Data Management 7. Chapter 5: Implementing Data Governance 8. Chapter 6: Managing Performance 9. Section 3: Large Data Volumes (LDVs) and Data Migrations
10. Chapter 7: Working with Large Volumes of Data 11. Chapter 8: Best Practices for General Data Migration 12. Assessments 13. Other Books You May Enjoy

Questions

  1. Precision Printers (PP) has multiple CRMs in each region and has decided to implement an MDM system to consolidate records and arrive at the Golden Record. The project team has decided to use survivorship rules for selecting the record that would need to be kept during the merge operation. What do the data architect and the project team need to consider in this scenario?

a) The team must define multiple survivorship rules, one for each system, to arrive at the Golden Record.

b) Survivorship rules cannot be used for this scenario because they are not intended for duplicate management.

c) The project team needs to define the specific criteria that can be used to arrive at the Golden Record.

d) The project team needs to set up probabilistic rules to determine the Golden Record.

  1. Alpha Big Box Inc. has multiple systems, each of which has been determined to be the system of record, having a portion of the master data related to accounts and contacts...
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