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Architect
The Tableau Certified Architect exam validates expertise in enterprise architecture, scalability, security, integration, and high availability, testing candidates on application, analysis, and strategic design of Tableau solutions.
Who Should Take This
Data architects, senior BI engineers, and analytics leaders with several years of Tableau implementation experience should pursue this certification to demonstrate their ability to design resilient, secure, and scalable analytics platforms. It suits professionals aiming to influence enterprise‑wide data strategy and governance.
What's Covered
1
Domain 1: Enterprise Architecture
2
Domain 2: Scalability
3
Domain 3: Security Architecture
4
Domain 4: Integration
5
Domain 5: High Availability
6
Domain 6: Data Architecture
7
Domain 7: Migration and Modernization
8
Domain 8: Governance and Standards
What's Included in AccelaStudy® AI
Course Outline
64 learning goals
1
Domain 1: Enterprise Architecture
2 topics
Platform Design
- Apply Tableau enterprise architecture with deployment topology, node sizing, and process distribution for organizational scalability
- Implement multi-node server architecture with worker scaling, load balancing, and failover configuration for high-availability deployment
- Analyze architecture capacity including concurrent user modeling, query throughput, and storage projection for growth planning
- Design an enterprise Tableau architecture with availability targets, performance SLAs, and disaster recovery for mission-critical analytics
Cloud Architecture
- Apply Tableau Cloud architecture with site design, integration patterns, and hybrid deployment for cloud-first analytics strategy
- Implement hybrid architecture combining Tableau Cloud and Bridge for on-premises data connectivity with cloud-hosted analytics
- Analyze cloud architecture tradeoffs including cost, control, compliance, and performance for deployment model decisions
- Design a cloud architecture strategy with migration planning, governance adaptation, and cost optimization for cloud analytics transformation
2
Domain 2: Scalability
2 topics
Horizontal Scaling
- Apply horizontal scaling patterns with node addition, process isolation, and workload separation for capacity expansion
- Implement auto-scaling strategies with monitoring-based triggers, resource provisioning, and load distribution for elastic capacity
- Analyze scaling effectiveness including response time impact, resource utilization, and cost efficiency for scaling optimization
- Design a scalability architecture with capacity tiers, scaling triggers, and resource governance for demand-responsive analytics infrastructure
Performance Engineering
- Apply performance engineering with query optimization, caching strategy, and extract management for sustained analytics responsiveness
- Implement performance monitoring with custom metrics, alerting thresholds, and trend analysis for proactive performance management
- Analyze performance bottlenecks including database queries, server processing, and network latency for optimization prioritization
- Design a performance management framework with SLOs, monitoring, and continuous optimization for enterprise analytics performance
3
Domain 3: Security Architecture
2 topics
Authentication Design
- Apply enterprise authentication with SAML, OpenID Connect, and Kerberos for seamless organizational identity integration
- Implement certificate management, token lifecycle, and session governance for secure authentication infrastructure
- Analyze authentication architecture security including protocol configuration, key management, and session vulnerability for security hardening
- Design an authentication architecture with federated identity, step-up authentication, and audit capabilities for enterprise security compliance
Data Security
- Apply data security with row-level security, connection delegation, and extract encryption for comprehensive data protection
- Implement encryption architecture with TLS, at-rest encryption, and key management for defense-in-depth data security
- Analyze data security effectiveness including access control testing, encryption coverage, and vulnerability assessment for security posture improvement
- Design a data security architecture with classification-based controls, audit logging, and compliance monitoring for regulated analytics environments
4
Domain 4: Integration
2 topics
Enterprise Integration
- Apply Tableau integration with enterprise data platforms including data warehouses, lakes, and streaming platforms for analytical data access
- Implement API-based integration with REST API, metadata API, and webhook events for programmatic Tableau platform management
- Analyze integration architecture effectiveness including data freshness, API reliability, and automation coverage for optimization
- Design an integration architecture connecting Tableau with enterprise data, identity, and orchestration systems for unified analytics ecosystem
Embedded Analytics
- Apply advanced embedding with Connected Apps, JWT authentication, and contextual filtering for secure application-integrated analytics
- Implement embedded analytics architecture with multi-tenancy, white-labeling, and performance isolation for SaaS analytics integration
- Analyze embedded analytics performance, security, and user experience for application integration quality optimization
- Design an embedded analytics architecture with tenant isolation, data security, and scalability for enterprise SaaS analytics delivery
5
Domain 5: High Availability
2 topics
Redundancy Design
- Apply high-availability patterns with active-passive failover, repository redundancy, and file store replication for resilient deployment
- Implement disaster recovery with backup automation, geographic replication, and recovery procedures for business continuity
- Analyze availability metrics including uptime, recovery time, and failover success rates for availability architecture validation
- Design a high-availability architecture with RPO/RTO targets, automated failover, and disaster recovery for mission-critical analytics
Operational Resilience
- Apply operational resilience with health monitoring, automated remediation, and incident response for sustained analytics availability
- Implement chaos engineering principles with failure injection, recovery testing, and resilience validation for production robustness
- Analyze operational incidents including root cause, impact scope, and recovery effectiveness for resilience improvement
- Design an operational resilience strategy with proactive monitoring, automated recovery, and continuous testing for reliable analytics infrastructure
6
Domain 6: Data Architecture
2 topics
Data Strategy
- Apply enterprise data architecture with warehouse design, ETL patterns, and data governance for analytics-ready data infrastructure
- Implement data source strategy with published sources, certification, and refresh orchestration for trusted organizational analytics data
- Analyze data architecture effectiveness including query performance, data freshness, and governance compliance for optimization
- Design a data architecture strategy with tiered storage, governance, and performance optimization for enterprise-scale analytics data management
Data Governance
- Apply data governance with lineage tracking, quality monitoring, and stewardship for trusted analytics data management
- Implement metadata management with cataloging, documentation, and impact analysis for organizational data literacy and trust
- Analyze data governance maturity including policy adherence, quality metrics, and organizational data literacy for improvement planning
- Design a data governance framework with policies, processes, and tools for enterprise-wide data quality and trust management
7
Domain 7: Migration and Modernization
2 topics
Platform Migration
- Apply migration planning with workload assessment, dependency mapping, and phased execution for analytics platform transitions
- Implement migration automation with content conversion, validation testing, and parallel operation for controlled platform migration
- Analyze migration risk including content compatibility, performance impact, and user disruption for risk mitigation planning
- Design a migration strategy with assessment frameworks, execution playbooks, and success criteria for enterprise analytics platform modernization
Architecture Evolution
- Apply architecture evolution with capacity assessment, technology evaluation, and roadmap planning for sustained analytics infrastructure
- Implement progressive architecture improvements with backward compatibility, staged rollout, and impact measurement for controlled evolution
- Analyze architecture debt including technology currency, scalability limits, and operational burden for modernization prioritization
- Design an architecture evolution strategy with technology radar, investment planning, and stakeholder alignment for long-term analytics platform excellence
8
Domain 8: Governance and Standards
2 topics
Architecture Governance
- Apply architecture governance with design standards, review processes, and compliance monitoring for consistent enterprise analytics
- Implement architecture decision records, reference patterns, and best practice documentation for organizational knowledge management
- Analyze governance effectiveness including standard adherence, architecture quality, and organizational alignment for governance optimization
- Design an architecture governance framework with review boards, standards, and community of practice for sustainable enterprise analytics architecture
Cost Management
- Apply cost management with license optimization, resource right-sizing, and usage monitoring for analytics platform cost control
- Implement cost allocation with department charging, usage tracking, and ROI measurement for analytics investment accountability
- Analyze cost efficiency including per-user costs, utilization ratios, and comparative benchmarks for cost optimization decisions
- Design a cost management strategy with budgeting, optimization, and value measurement for sustainable analytics platform investment
Scope
Included Topics
- All Architect exam domains.
- Configuration and implementation of Tableau enterprise architecture, scalability, security, integration, and high availability.
- Enterprise Architect design, architecture, integration, and adoption strategies.
- Scenario-based application of best practices for implementation challenges.
Not Covered
- Apex, LWC, API integrations beyond declarative configuration.
- Platform admin topics from Administrator certification.
- Unrelated Salesforce cloud implementations.
- Third-party tool internals.
- Infrastructure deployment beyond admin settings.
Official Exam Page
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