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The benefit in Obtaining the Data-Architecture-And-Management-Designer Exam Certification
- 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.
- After completing the Salesforce Certified Data Architecture and Management Designer certification Candidate becomes a solid, well-rounded Salesforce Certified Data Architecture and Management Designer.
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.
Salesforce Data-Architecture-And-Management-Designer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Large Data Volume Management | - Scalability design in Salesforce data architecture - Archiving and partitioning strategies - Indexing and query optimization |
| Data Governance | - Data quality management - Data stewardship and lifecycle policies - Data security and compliance considerations |
| Data Modeling and Management | - Schema design and normalization concepts - Data modeling strategies in Salesforce - Relationship modeling (lookup vs master-detail) |
| Master Data Management (MDM) | - Golden record strategy - Deduplication and data matching |
| Data Integration and Migration | - ETL and data loading tools (Data Loader, APIs) - Data migration planning and execution - Integration patterns and best practices |
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