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Data-Architecture-And-Management-Designer Exam Reference
Reference: https://trailhead.salesforce.com/en/credentials/dataarchitectureandmanagementdesigner#
What is the duration of the Data-Architecture-And-Management-Designer Exam
- Passing Score: 58%
- 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.
- Format: Multiple choices, multiple answers
- Length of Examination: 105 minutes
- Number of Questions: 60
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The benefit in Obtaining the Data-Architecture-And-Management-Designer Exam Certification
- A candidate might have incredible IT skills. Employers that do the hiring need to make decisions based on limited information and as it always. When they view the official Salesforce Certified Data Architecture and Management Designer certification, they can be guaranteed that a candidate has achieved a certain level of competence.
- If the Candidate has the desire to move up to a higher-paying position in an organization. This certification will help as always.
- When an organization hiring or promotion an employee, then the decision is made by human resources. Now while Candidate may have an IT background, they do their decisions in a way that takes into record many different factors. One thing is candidates have formal credentials, such as the Salesforce Certified Data Architecture and Management Designer.
- After completing the Salesforce Certified Data Architecture and Management Designer certification Candidate becomes a solid, well-rounded Salesforce Certified Data Architecture and Management Designer.
Salesforce Data-Architecture-And-Management-Designer日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Large Data Volume Considerations | 20% | - Performance and indexing strategies - Archiving and data lifecycle management - Query optimization and SOQL best practices - Skinny tables and partitioning |
| Topic 2: Salesforce Data Management | 25% | - Multi-org data consolidation - License and object usage strategy - Data persistence and consistency - Virtual data and external objects |
| Topic 3: Master Data Management | 5% | - Attribute consolidation and survivorship - Golden record and system of truth - Metadata and reference data management |
| Topic 4: Data Modeling and Database Design | 25% | - Standard, custom, and Big Objects - Data model design for Customer 360 - Relationships, lookup, master-detail - Data security and sharing model alignment |
| Topic 5: Data Governance | 10% | - Data classification and stewardship - Compliance and data privacy (GDPR etc.) - Data governance framework |
| Topic 6: Data Migration | 15% | - Bulk load performance - Migration tools and APIs - Export and backup strategies - Data quality and validation |
