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.
- 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.
- If the Candidate has the desire to move up to a higher-paying position in an organization. This certification will help as always.
- 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#
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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.
- Number of Questions: 60
- Length of Examination: 105 minutes
- Format: Multiple choices, multiple answers
For more info visit:
Data-Architecture-And-Management-Designer Exam Reference
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Salesforce Data-Architecture-And-Management-Designer日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Large Data Volume Management | - Archiving and partitioning strategies - Indexing and query optimization - Scalability design in Salesforce data architecture |
| Topic 2: Data Modeling and Management | - Data modeling strategies in Salesforce - Relationship modeling (lookup vs master-detail) - Schema design and normalization concepts |
| Topic 3: Master Data Management (MDM) | - Deduplication and data matching - Golden record strategy |
| Topic 4: Data Integration and Migration | - ETL and data loading tools (Data Loader, APIs) - Data migration planning and execution - Integration patterns and best practices |
| Topic 5: Data Governance | - Data quality management - Data security and compliance considerations - Data stewardship and lifecycle policies |



