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.
Reference: https://trailhead.salesforce.com/en/credentials/dataarchitectureandmanagementdesigner#
The benefit in Obtaining the Data-Architecture-And-Management-Designer Exam Certification
- 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.
- 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.
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Salesforce Data-Architecture-And-Management-Designer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Salesforce Data Management | 25% | - License combinations and object use - Data persistence techniques |
| Master Data Management | 5% | - Golden record and survivorship rules - Metadata and taxonomy considerations |
| Data Migration | 15% | - Data export and consolidation - Bulk API and data load strategies |
| Data Modeling/Database Design | 25% | - Object relationships and features - Design scalable data models |
| Data Governance | 10% | - Data stewardship frameworks - GDPR compliance design |
| Large Data Volume Considerations | 20% | - Performance and indexing strategies - External objects and partitioning |



