Who should take the Data-Architecture-And-Management-Designer exam
Salesforce Certified Data Architecture and Management Designer certification is an internationally-recognized validation that identifies persons who earn it as possessing skilled as a Salesforce Certified Data Architecture and Management Designer. If a candidate wants significant improvement in career growth needs enhanced knowledge, skills, and talents. The Salesforce Data-Architecture-And-Management-Designer Exam provides proof of this advanced knowledge and skill. If a candidate has knowledge of associated technologies and skills that are required to pass the Salesforce Data-Architecture-And-Management-Designer Exam then he should take this exam.
Reference: https://trailhead.salesforce.com/en/credentials/dataarchitectureandmanagementdesigner#
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What is the duration of the Data-Architecture-And-Management-Designer Exam
- Passing Score: 58%
- Number of Questions: 60
- Format: Multiple choices, multiple answers
- Exam delivery options: Proctored exam delivered onsite at a testing center or in an online proctored environment. Click here for information on scheduling an exam.
- Length of Examination: 105 minutes
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Salesforce Data-Architecture-And-Management-Designer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Governance | 10% | - Data classification and stewardship - Data governance framework - Compliance and data privacy (GDPR etc.) |
| Topic 2: Data Migration | 15% | - Migration tools and APIs - Bulk load performance - Export and backup strategies - Data quality and validation |
| Topic 3: Data Modeling and Database Design | 25% | - Relationships, lookup, master-detail - Data security and sharing model alignment - Data model design for Customer 360 - Standard, custom, and Big Objects |
| Topic 4: Salesforce Data Management | 25% | - Data persistence and consistency - Multi-org data consolidation - Virtual data and external objects - License and object usage strategy |
| Topic 5: Master Data Management | 5% | - Golden record and system of truth - Metadata and reference data management - Attribute consolidation and survivorship |
| Topic 6: Large Data Volume Considerations | 20% | - Skinny tables and partitioning - Query optimization and SOQL best practices - Archiving and data lifecycle management - Performance and indexing strategies |
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