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Updated: Sep 03, 2026
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Salesforce Data-Architecture-And-Management-Designer certification is highly valued in the industry as it demonstrates the candidate's expertise in managing complex data models and integrating them with other systems. Salesforce Certified Data Architecture and Management Designer certification is beneficial for professionals working as data architects, data analysts, and data managers. It also helps professionals to advance their careers by opening up new job opportunities and higher salaries.
Reference: https://trailhead.salesforce.com/en/credentials/dataarchitectureandmanagementdesigner#
Salesforce Data-Architecture-And-Management-Designer is a certification exam that aims to test the candidate's knowledge and expertise in data architecture and management on the Salesforce platform. Data-Architecture-And-Management-Designer exam is intended for professionals who are already working in the Salesforce ecosystem and want to enhance their skills in the field of data management. By passing Data-Architecture-And-Management-Designer exam, candidates can prove their expertise in designing and managing data models, data migration, and data governance.
Salesforce Data-Architecture-And-Management-Designer certification is highly respected in the industry and is recognized by employers as a valuable credential for professionals in the field of data architecture and management. Salesforce Certified Data Architecture and Management Designer certification demonstrates that the holder has achieved a high level of proficiency in the field and has the skills and knowledge necessary to design and manage complex data architecture solutions.
Salesforce Data-Architecture-And-Management-Designer Exam Overview:
| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Architecture and Management Designer |
| Exam Number: | Salesforce Data-Architecture-And-Management-Designer |
| Certificate Validity Period: | 3 years (requires periodic maintenance via Trailhead) |
| Real Exam Qty: | 60 |
| Exam Duration: | 105 minutes |
| Exam Format: | Multiple Choice, Multiple Select |
| Exam Price: | USD 400 |
| Related Certifications: | Salesforce Certified Platform Designer Salesforce Certified Application Architect |
| Available Languages: | English |
| Passing Score: | 58% |
| Sample Questions: | Salesforce Data-Architecture-And-Management-Designer Sample Questions |
| Exam Way: | Delivered as a proctored exam online or onsite through Salesforce's testing partners. :contentReference[oaicite:1]{index=1} |
| Pre Condition: | No mandatory prerequisite; recommended experience includes several years of Salesforce platform and enterprise data management expertise. :contentReference[oaicite:0]{index=0} |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/dataarchitectureandmanagementdesigner |
Salesforce Data-Architecture-And-Management-Designer certification exam is designed for professionals who want to prove their expertise in designing, managing, and implementing data architecture and management solutions using Salesforce. Salesforce Certified Data Architecture and Management Designer certification is suitable for individuals who have experience in various aspects of data management, including data modeling, data integration, data security, and data governance. Salesforce Certified Data Architecture and Management Designer certification validates the skills and knowledge required to design and manage complex data architectures that meet the evolving needs of businesses and organizations.
Salesforce Data-Architecture-And-Management-Designer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Modeling/Database Design | 25% | - Object relationships and features - Design scalable data models |
| Data Governance | 10% | - GDPR compliance design - Data stewardship frameworks |
| Data Migration | 15% | - Bulk API and data load strategies - Data export and consolidation |
| Salesforce Data Management | 25% | - License combinations and object use - Data persistence techniques |
| Large Data Volume Considerations | 20% | - Performance and indexing strategies - External objects and partitioning |
| Master Data Management | 5% | - Golden record and survivorship rules - Metadata and taxonomy considerations |
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