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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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Salesforce Data-Architecture-And-Management-Designer Exam
Salesforce Data-Architecture-And-Management-Designer Exam is related to Salesforce Certified Data Architecture and Management Designer (SU18) Certification. This exam validates the Candidate knowledge to assesses the architecture environment and requirements and designs sound, scalable, and performance solutions on the Lightning Platform. It also deals with the ability to meet the requirements of large-data-volume enterprises, as well as how they understand enterprise data management and stewardship concerns and considerations in relation to projects.
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Salesforce Data-Architecture-And-Management-Designer日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Master Data Management | 5% | - Metadata and taxonomy considerations - Golden record and survivorship rules |
| Topic 2: Salesforce Data Management | 25% | - License combinations and object use - Data persistence techniques |
| Topic 3: Data Migration | 15% | - Data export and consolidation - Bulk API and data load strategies |
| Topic 4: Data Modeling/Database Design | 25% | - Design scalable data models - Object relationships and features |
| Topic 5: Large Data Volume Considerations | 20% | - External objects and partitioning - Performance and indexing strategies |
| Topic 6: Data Governance | 10% | - Data stewardship frameworks - GDPR compliance design |






