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Salesforce Data-Architecture-And-Management-Designer Certification Exam is a must-have for professionals who work in the Salesforce ecosystem and want to demonstrate their expertise in data management and architecture design. Salesforce Certified Data Architecture and Management Designer certification exam is a rigorous test of the candidate’s knowledge and skills, and passing it requires a lot of hard work and dedication. However, the certification is well worth the effort, as it opens up many new career opportunities and demonstrates the candidate’s commitment to excellence in their profession.
To be eligible for the Salesforce Data-Architecture-And-Management-Designer certification exam, candidates must have a minimum of two years of experience in Salesforce data architecture and management. They must also have completed the Salesforce Certified Data Architecture and Management Designer course or an equivalent course. Data-Architecture-And-Management-Designer exam fee is $400, and the exam is available in English only.
Reference: https://trailhead.salesforce.com/en/credentials/dataarchitectureandmanagementdesigner#
Salesforce Certified Data Architecture and Management Designer certification is highly valued by employers and is recognized as a mark of excellence in the field of data architecture and management. Salesforce Certified Data Architecture and Management Designer certification demonstrates that the individual has the skills and knowledge required to design and manage complex data solutions in a Salesforce environment, and is able to provide effective solutions that meet business requirements. With the increasing importance of data in today's business world, the Salesforce Certified Data Architecture and Management Designer certification is a valuable asset for any professional looking to advance their career in this field.
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Salesforce Data-Architecture-And-Management-Designer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Governance | - Data stewardship and lifecycle policies - Data security and compliance considerations - Data quality management |
| Data Integration and Migration | - Integration patterns and best practices - ETL and data loading tools (Data Loader, APIs) - Data migration planning and execution |
| Data Modeling and Management | - Schema design and normalization concepts - Data modeling strategies in Salesforce - Relationship modeling (lookup vs master-detail) |
| Large Data Volume Management | - Scalability design in Salesforce data architecture - Indexing and query optimization - Archiving and partitioning strategies |
| Master Data Management (MDM) | - Deduplication and data matching - Golden record strategy |



