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What is the duration of the Data-Architecture-And-Management-Designer Exam
- 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.
- Passing Score: 58%
- Length of Examination: 105 minutes
- Number of Questions: 60
- Format: Multiple choices, multiple answers
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The benefit in Obtaining the Data-Architecture-And-Management-Designer Exam Certification
- After completing the Salesforce Certified Data Architecture and Management Designer certification Candidate becomes a solid, well-rounded Salesforce Certified Data Architecture and Management Designer.
- 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.
- 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.
Reference: https://trailhead.salesforce.com/en/credentials/dataarchitectureandmanagementdesigner#
Salesforce Data-Architecture-And-Management-Designer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Large Data Volume Considerations | 20% | - Performance and indexing strategies - External objects and partitioning |
| Salesforce Data Management | 25% | - Data persistence techniques - License combinations and object use |
| Data Migration | 15% | - Bulk API and data load strategies - Data export and consolidation |
| Data Governance | 10% | - GDPR compliance design - Data stewardship frameworks |
| Data Modeling/Database Design | 25% | - Object relationships and features - Design scalable data models |
| Master Data Management | 5% | - Golden record and survivorship rules - Metadata and taxonomy considerations |

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