Integration-Architect
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Integration Architect (Integration-Architect)
The Salesforce Certified Integration Architect exam validates expertise in designing enterprise‑scale integration solutions, covering API design, middleware, event‑driven patterns, security, and integration best practices for complex business ecosystems.
120
Minutes
60
Questions
60/100
Passing Score
$400
Exam Cost
Who Should Take This
It is intended for senior integration engineers, solution architects, or technical leads who have several years of experience building and managing Salesforce integration projects. Candidates seek to demonstrate mastery of architectural decision‑making, pattern selection, and security governance to lead enterprise‑wide integration initiatives.
What's Covered
1
Domain 1: API Design and Architecture
2
Domain 2: Middleware Architecture
3
Domain 3: Event-Driven Integration
4
Domain 4: Integration Security
5
Domain 5: Integration Patterns
6
Domain 6: Batch and Bulk Processing
7
Domain 7: Integration Governance
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: API Design and Architecture
2 topics
REST API Patterns
- Implement REST API integrations with composite requests, batch operations, and pagination handling for efficient Salesforce data exchange workflows
- Analyze REST API design patterns evaluating resource modeling, versioning strategies, and error response standardization for API consumer experience
- Design RESTful API architectures with HATEOAS navigation, rate limiting strategies, and content negotiation for enterprise-grade API platforms
- Configure rest api patterns configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
SOAP and Legacy Integration
- Implement SOAP API integrations with WSDL generation, complex type mapping, and session management for legacy system connectivity patterns
- Analyze SOAP versus REST trade-offs evaluating transaction support, schema validation, and tooling ecosystem for integration approach selection
- Design hybrid API strategies combining REST and SOAP endpoints with API gateway routing for gradual legacy modernization programs
- Compare soap legacy integration configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
2
Domain 2: Middleware Architecture
2 topics
iPaaS and ESB
- Implement middleware integration flows using MuleSoft, Dell Boomi, or Informatica with transformation mapping and error handling configurations
- Design enterprise service bus architectures with message routing, protocol mediation, and service orchestration for centralized integration management
- Analyze middleware selection criteria evaluating scalability, connector availability, and total cost of ownership for enterprise integration platforms
- Optimize ipaas esb configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Analyze ipaas esb configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
ETL and Data Pipeline
- Implement ETL pipelines with extraction scheduling, transformation logic, and incremental loading strategies for batch data synchronization
- Design data pipeline architectures combining batch processing, micro-batch streaming, and real-time replication for multi-speed data integration
- Analyze ETL performance evaluating processing throughput, data freshness requirements, and resource utilization for capacity planning decisions
- Apply etl data pipeline configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Apply etl data pipeline configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
3
Domain 3: Event-Driven Integration
2 topics
Platform Events
- Implement platform event publishing and subscription with trigger-based emission, Flow subscriptions, and Apex subscriber processing
- Design event-driven architectures using platform events with event schema versioning, replay handling, and consumer error recovery patterns
- Analyze platform event delivery characteristics evaluating at-least-once guarantees, ordering constraints, and replay window limitations
- Analyze platform events configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Optimize platform events configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Change Data Capture
- Implement Change Data Capture subscriptions with entity selection, gap event handling, and replay ID management for real-time data synchronization
- Design CDC-based integration architectures with external system notification, data lake ingestion, and audit trail capture for enterprise data flows
- Analyze CDC performance considerations evaluating event volume, subscription overhead, and selective entity configuration for optimization
- Architect change data capture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Compare change data capture configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
4
Domain 4: Integration Security
2 topics
Authentication Patterns
- Implement named credential configurations with OAuth flows, certificate-based authentication, and per-user principal management for secure callouts
- Design integration security architectures combining mutual TLS, OAuth token exchange, and API key management for defense-in-depth protection
- Analyze integration security risks evaluating credential storage, token lifecycle, and network exposure for vulnerability mitigation planning
- Deploy authentication patterns configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Configure authentication patterns configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Data Protection
- Implement data masking and encryption for integration payloads with field-level security enforcement and PII handling compliance measures
- Design data protection architectures for cross-system integration with tokenization, differential privacy, and consent-aware data sharing policies
- Implement data protection configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Design data protection configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
5
Domain 5: Integration Patterns
2 topics
Synchronous Patterns
- Implement request-reply integration patterns with timeout handling, circuit breaker fallbacks, and response caching for reliable synchronous operations
- Analyze synchronous integration trade-offs evaluating response latency, coupling implications, and failure cascade risks for pattern selection
- Design synchronous integration architectures with connection pooling, load balancing, and health check monitoring for high-availability systems
- Assess synchronous patterns configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Design synchronous patterns configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Asynchronous Patterns
- Implement asynchronous integration patterns using outbound messages, platform events, and callout queues for decoupled system communication
- Design message queue architectures with guaranteed delivery, dead letter handling, and poison message management for reliable async processing
- Analyze asynchronous pattern applicability evaluating eventual consistency requirements, retry strategies, and idempotency for integration reliability
- Plan asynchronous patterns configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Examine asynchronous patterns configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
6
Domain 6: Batch and Bulk Processing
2 topics
Bulk API
- Implement Bulk API 2.0 integrations with job management, CSV data upload, and result processing for large dataset migration operations
- Analyze Bulk API performance evaluating job concurrency limits, processing time estimates, and serial versus parallel mode selection criteria
- Design bulk data processing architectures with chunking strategies, error isolation, and checkpoint restart for enterprise data loading reliability
- Implement bulk api configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Create bulk api configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Scheduled Integration
- Implement scheduled integration workflows with cron-based triggers, batch size management, and completion notification for periodic data synchronization
- Design scheduled integration architectures with dependency ordering, overlap prevention, and monitoring dashboards for operational visibility
- Evaluate scheduled integration configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Examine scheduled integration configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
7
Domain 7: Integration Governance
2 topics
API Lifecycle Management
- Implement API lifecycle processes with version management, deprecation policies, and consumer migration plans for sustainable API evolution
- Design API governance frameworks with design standards, review processes, and usage analytics for enterprise API portfolio management
- Analyze API adoption metrics evaluating consumer onboarding rates, usage patterns, and error trends for API quality improvement planning
- Evaluate api lifecycle management configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Recommend api lifecycle management configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Monitoring and Troubleshooting
- Implement integration monitoring with event log analysis, error alerting, and transaction tracing for operational troubleshooting workflows
- Design observability architectures with distributed tracing, log correlation, and health dashboards for end-to-end integration visibility
- Recommend monitoring troubleshooting configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
- Create monitoring troubleshooting configurations including platform-specific optimization patterns, enterprise deployment considerations, and production monitoring strategies
Scope
Included Topics
- REST and SOAP API design patterns for Salesforce integration architectures.
- Middleware platforms, ETL tools, and iPaaS solutions for enterprise data integration.
- Event-driven integration using platform events, CDC, and streaming API.
- Integration security with OAuth, named credentials, and certificate management.
Not Covered
- Apex development beyond integration patterns.
- Data architecture and modeling.
- Marketing Cloud configuration.
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