Salesforce Data-Architecture-And-Management-Designer Exam Details & Actual Exam Questions
- Exam Code/Number: Data-Architecture-And-Management-Designer
- Exam Name/Title: Salesforce Certified Data Architecture and Management Designer
- Certification Provider: Salesforce
- Corresponding Certification: Salesforce Application Architect
- Exam Questions: 224
- Updated On: Aug,26 2026
- Certification Level: Professional
Salesforce Certified Data Architecture and Management Designer Exam Questions
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(23 Up Votes)Salesforce Data-Architecture-And-Management-Designer Exam Overview:
| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Architecture and Management Designer Exam |
| Exam Number: | Data-Architecture-And-Management-Designer |
| Exam Price: | USD 200 |
| Available Languages: | English |
| Exam Duration: | 105 minutes |
| Passing Score: | Approximately 58% |
| Related Certifications: | Salesforce Certified System Architect Salesforce Certified Platform Developer I Salesforce Certified Application Architect |
| Real Exam Qty: | 60 (approximate) |
| Exam Format: | Multiple Select, Multiple Choice |
| Certificate Validity Period: | 3 years |
| Recommended Training: | Trailhead Data Architecture Modules Salesforce Architect Journey |
| Exam Registration: | Salesforce Certification Registration |
| Sample Questions: | Salesforce Data-Architecture-And-Management-Designer Sample Questions |
| Exam Way: | Online proctored or test center (onsite) |
| Pre Condition: | Recommended: Salesforce Certified Platform Developer I and/or Salesforce Administrator experience; prior Architect Designer certifications are strongly recommended. |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/data-architecture-and-management-designer |
Salesforce Data-Architecture-And-Management-Designer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Master Data Management (MDM) | - Deduplication and data matching - Golden record strategy |
| Topic 2: Data Governance | - Data stewardship and lifecycle policies - Data security and compliance considerations - Data quality management |
| Topic 3: Data Integration and Migration | - ETL and data loading tools (Data Loader, APIs) - Data migration planning and execution - Integration patterns and best practices |
| Topic 4: Data Modeling and Management | - Data modeling strategies in Salesforce - Schema design and normalization concepts - Relationship modeling (lookup vs master-detail) |
| Topic 5: Large Data Volume Management | - Scalability design in Salesforce data architecture - Archiving and partitioning strategies - Indexing and query optimization |
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