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Salesforce Data-Architect Exam Syllabus Topics:

Topic	Details
Topic 1	Master Data Management: This topic covers the various techniques, approaches, and considerations to implement Master Data Management Solutions, as well as techniques for establishing a "golden record" or "system of truth" for the customer domain. It also discusses approaches and techniques for consolidating data attributes and maintaining customer reference and metadata.
Topic 2	Data Governance: This topic covers the approach for designing a GDPR-compliant data model, including identifying, classifying, and protecting personal and sensitive information. It also delves into different approaches and considerations for designing and implementing an enterprise data governance program.
Topic 3	Data Migration: This topic covers suitable techniques and methods to make sure high data quality at load time, different strategies to improve performance when migrating large data volumes into Salesforce, and various techniques and considerations to export data from Salesforce.
Topic 4	Data modeling Database Design: This topic covers various techniques and considerations for designing a data model for the Customer 360 platform. It also focuses on approaches to designing a scalable data model that obeys the current security and sharing model. The topic also compares and contrasts techniques for capturing and managing business and technical metadata, as well as the reasons for implementing Big Objects vs Standard Custom objects and approaches to avoid data skew.
Topic 5	Large Data Volume Considerations: This covers the design of a data model that scales considering large data volume and solution performance, a data archiving and purging plan, and the use of virtualized data options.

Reference: https://trailheadacademy.salesforce.com/certificate/exam-data-architect---Plat-Arch-201

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