Salesforce Certified Platform Data Architect Plat-Arch-201 Certified Exam Dumps

Plat-Arch-201 Exam Dumps

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Certification Provider: Salesforce
Exam Code / Number: Plat-Arch-201
Exam Name: Salesforce Certified Platform Data Architect
Exam Questions: 279
Last Updated: Jun 21, 2026
Corresponding Certification: Application Architect

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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Modeling and Database Design25%- Object type selection
  • 1. Standard/custom objects vs Big Objects: use cases, pros and cons
- Metadata management
  • 1. Business dictionary, data lineage, taxonomy and classification
- Data skew prevention
  • 1. Avoid record locking, sharing issues and excessive parent-child relationships
- Data model design for Customer 360
  • 1. Objects, fields, relationships and object features
  • 2. Scalable design aligned with security and sharing model
Topic 2: Large Data Volumes and Performance20%- Storage and scalability planning
  • 1. Data volume growth planning and storage limits
- Query and performance optimization
  • 1. Indexing, selective queries and avoiding performance bottlenecks
- LDV architecture design
  • 1. Data distribution, archiving and partitioning strategies
Topic 3: Data Integration20%- Data synchronization and consistency
  • 1. Conflict resolution, data consistency and idempotency
- Integration patterns and technologies
  • 1. Synchronous vs asynchronous, batch vs real-time
  • 2. APIs, middleware and external systems integration
- External data sources
  • 1. External Objects, OData and virtual data access
Topic 4: Data Governance, Quality and Security15%- Data governance framework
  • 1. Policies, standards, ownership and stewardship
- Data security and compliance
  • 1. Access control, encryption, compliance and audit
- Data quality management
  • 1. Profiling, monitoring, cleansing and enrichment
Topic 5: Data Migration15%- Migration execution and tools
  • 1. Data loader, ETL tools and bulk API usage
- Migration strategy and planning
  • 1. Assessment, mapping, validation and rollback planning
- Data quality and validation
  • 1. Cleaning, deduplication and post-migration verification
Topic 6: Master Data Management5%- MDM implementation approaches
  • 1. Canonical modeling and hierarchy management
  • 2. Harmonization, consolidation, survivorship rules and thresholds
- Golden record and system of truth
  • 1. Establishing single source of truth in single org


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