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Data Architect (Data-Architect)
The Salesforce Certified Data Architect exam validates expertise in enterprise data modeling, migration, quality, large‑volume management, and analytics architecture across Salesforce and external clouds, enabling architects to design scalable, governed data solutions.
120
Minutes
60
Questions
58/100
Passing Score
$400
Exam Cost
Who Should Take This
It is intended for senior data professionals such as data architects, solution architects, or lead engineers who have several years of experience designing and governing data platforms. Candidates seek to demonstrate mastery of cross‑cloud data strategy and to qualify for high‑impact roles overseeing enterprise‑wide data initiatives.
What's Covered
1
Domain 1: Data Modeling and Design
2
Domain 2: Data Migration
3
Domain 3: Data Quality and Governance
4
Domain 4: Large Data Volume Management
5
Domain 5: Analytics Architecture
6
Domain 6: Data Security
7
Domain 7: Master Data Management
What's Included in AccelaStudy® AI
Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats
Course Outline
65 learning goals
1
Domain 1: Data Modeling and Design
3 topics
Entity Relationship Design
- Implement entity relationship models using lookup, master-detail, and hierarchical relationship types for Salesforce data architectures
- Analyze data model designs to evaluate normalization versus denormalization tradeoffs for query performance and storage efficiency
- Design enterprise data models with junction objects, polymorphic lookups, and external objects for complex multi-cloud integrations
- Optimize entity relationship design configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Schema Optimization
- Implement custom metadata types and custom settings for configuration data management across multi-tenant Salesforce environments
- Analyze field indexing strategies including custom indexes, skinny tables, and selective query filters for large data volumes
- Design data partitioning approaches using record types, divisions, and archival strategies for orgs exceeding ten million records
- Apply schema optimization configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Multi-Org Architecture
- Design multi-org data architectures using Salesforce Connect, external objects, and cross-org adapters for federated data access
- Analyze org merge and data migration approaches including field mapping, relationship preservation, and identity resolution strategies
- Implement multi-org architecture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Compare multi-org architecture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
2
Domain 2: Data Migration
2 topics
Migration Planning
- Design data migration strategies defining extraction, transformation, loading sequences, and rollback procedures for enterprise deployments
- Implement data migration pipelines using Data Loader, Bulk API 2.0, and ETL tools with error handling and retry mechanisms
- Analyze data migration risks including referential integrity, lookup resolution, and circular dependency handling across object hierarchies
- Analyze migration planning configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
API Integration
- Implement REST and SOAP API integrations with authentication, pagination, and composite request patterns for data synchronization workflows
- Analyze API governor limits including concurrent call limits, request sizes, and streaming API event delivery guarantees for integration planning
- Design integration architectures using platform events, Change Data Capture, and streaming API for near-real-time data replication strategies
- Architect api integration configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
3
Domain 3: Data Quality and Governance
2 topics
Quality Management
- Implement duplicate management rules using matching rules, duplicate rules, and merge strategies across standard and custom objects
- Analyze data quality metrics including completeness, accuracy, consistency, and timeliness using reports and validation dashboards
- Design data quality frameworks incorporating field validation, enrichment services, and automated cleansing workflows for enterprise standards
- Deploy quality management configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Governance Framework
- Design data governance policies covering data ownership, stewardship roles, retention schedules, and compliance audit trail requirements
- Implement data classification schemes with sensitivity labels, field-level encryption, and Shield Platform Encryption for regulated data handling
- Analyze regulatory compliance requirements including GDPR right-to-erasure, CCPA data access requests, and HIPAA data handling obligations
- Assess governance framework configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
4
Domain 4: Large Data Volume Management
2 topics
Performance Optimization
- Analyze large data volume query performance using Query Plan tool, selective filters, and SOQL optimization techniques for scalability
- Implement skinny tables, custom indexes, and query hint strategies for objects exceeding five million records in production environments
- Design data archival strategies using Big Objects, external storage, and Salesforce Data Pipelines for historical data management
- Plan performance optimization configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Optimize performance optimization configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Scalability Architecture
- Design scalable data architectures evaluating horizontal partitioning, record ownership distribution, and sharing rule performance impacts
- Analyze storage consumption patterns across file storage, data storage, and Big Object storage to optimize org-level capacity planning
- Evaluate scalability architecture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Configure scalability architecture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
5
Domain 5: Analytics Architecture
2 topics
Reporting Design
- Implement custom report types with multi-level object relationships, cross-filter criteria, and bucket field categorizations for analytics
- Analyze reporting data model designs evaluating rollup summary fields, formula fields, and aggregate SOQL for dashboard performance optimization
- Design reporting architectures using analytic snapshots, historical trending, and CRM Analytics datasets for longitudinal data analysis
- Implement reporting design configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Compare reporting design configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
CRM Analytics
- Implement CRM Analytics dataflows connecting Salesforce objects, external data sources, and recipe transformations for unified datasets
- Design Einstein Analytics architectures with data sync schedules, security predicates, and dashboard embedding strategies for self-service analytics
- Recommend crm analytics configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Design crm analytics configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
6
Domain 6: Data Security
2 topics
Access Security
- Implement field-level security configurations using profiles, permission sets, and permission set groups for granular data access control enforcement
- Analyze sharing model architectures evaluating organization-wide defaults, role hierarchy, sharing rules, and Apex managed sharing performance
- Design enterprise security architectures combining Shield Platform Encryption, event monitoring, and transaction security policies for protection
- Evaluate access security configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Configure access security configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Compliance Architecture
- Implement audit trail configurations using field history tracking, Setup Audit Trail, and event monitoring for compliance evidence collection
- Analyze data residency requirements evaluating data center locations, Hyperforce deployment options, and cross-border data transfer restrictions
- Create compliance architecture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Examine compliance architecture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
7
Domain 7: Master Data Management
2 topics
MDM Strategy
- Design master data management strategies defining golden record creation, survivorship rules, and cross-system identity resolution approaches
- Implement Salesforce as a master data hub using Data Cloud identity resolution, matching rules, and reconciliation workflows for consistency
- Analyze master data synchronization patterns including publish-subscribe, request-reply, and event-driven architectures for multi-system coordination
- Recommend mdm strategy configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Design mdm strategy configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Data Cloud
- Design Data Cloud ingestion architectures using streaming connectors, batch imports, and zero-copy partner integrations for unified profiles
- Implement Data Cloud identity resolution with deterministic and probabilistic matching rules for customer 360 profile creation and activation
- Analyze Data Cloud activation targets evaluating segmentation performance, calculated insights computation, and engagement optimization strategies
- Create data cloud configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Examine data cloud configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Scope
Included Topics
- Salesforce data modeling including entity relationships, custom objects, external objects, Big Objects, and platform metadata.
- Data migration strategies, ETL pipelines, and API-based integration patterns for enterprise data movement.
- Large data volume optimization including indexing, skinny tables, archival, and query performance tuning.
- Data quality management, duplicate detection, governance frameworks, and regulatory compliance.
- Master data management, Data Cloud architecture, and cross-system identity resolution.
Not Covered
- Apex trigger development, Lightning Web Component coding, and programmatic solution implementation.
- Marketing Cloud journey builder configuration and campaign execution workflows.
- Salesforce CPQ product and pricing model configuration.
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