Practice Exam
This practice exam is designed to simulate the depth and complexity of the Certified Master Anaplanner exam. Questions will assess your ability to interpret enterprise-level challenges, propose architecture solutions, and apply best practices across the Anaplan platform.
The exam will include advanced scenario-based questions involving:
- Cross-functional use cases
- Troubleshooting and optimization
- Strategic decision-making in a CoE or enterprise context
The purpose of the practice exam is to:
- Test your readiness for a leadership-level certification
- Highlight gaps in technical depth or architectural judgment
- Reinforce your expertise in aligning platform capabilities with business outcomes
Use this as a final self-check before attempting the certification, and ensure you're confident in both your platform knowledge and ability to lead Anaplan implementations strategically.
Overview
The Certified Master Anaplanner (CMA) certification is the highest level of Anaplan expertise, designed for individuals who lead enterprise-scale implementations, mentor others, and influence architectural decisions across organizations.
This exam includes practical, scenario-based questions that assess your ability to troubleshoot, optimize, and strategically design end-to-end Anaplan solutions. CMAs are expected to act as internal thought leaders and key contributors to their organizations’ Centers of Excellence.
Recommended Study Resources:
- Anaplan Community
- Anapedia
- Planual
Key Exam Areas and What to Study
The CMA exam is built around conceptual and scenario-based questions, requiring advanced platform understanding and strategic implementation skills:
1. Application Lifecycle Management (ALM)
You should understand:
- Deep use of revision tags, change management, and production data handling.
- Complex deployment strategies for multiple environments and model owners.
Study Tip: Be ready to recommend and justify ALM workflows in large-scale enterprise projects.
2. Anaplan Extensions
You should understand:
- Purpose and use cases for Excel, PowerPoint, and Google Sheets Add-ins.
- Best practices for enabling business users through extensions.
Study Tip: Study how extensions fit into reporting and planning cycles, especially for finance or executive-facing tools.
3. Center of Excellence (CoE)
You should understand:
- The structure, purpose, and evolution of a CoE.
- Governance, enablement, model stewardship, and demand intake processes.
Study Tip: Demonstrate how CMAs contribute to CoE maturity and scalability within organizations.
4. Data Hubs
You should understand:
- Role of Data Hubs in centralized data management.
- Design considerations for building efficient and reusable hubs.
Study Tip: Know how to separate data transformation logic from business logic using Data Hubs.
5. Data Integration
You should understand:
- Use of CloudWorks, APIs, and external connectors.
- Handling large data volumes, error handling, and scheduling.
Study Tip: Prepare for scenarios involving integration troubleshooting and architecture recommendations.
6. Ecosystem Design
You should understand:
- High-level design of multi-model architectures across business functions.
- Data, user, and process orchestration across models and workspaces.
Study Tip: Think about how you’d design a scalable solution landscape from the ground up.
7. Model Performance Troubleshooting
You should understand:
- Techniques for diagnosing and resolving performance issues.
- Use of model open logs, formula profiling, and memory impact.
Study Tip: Know how to identify the root cause of slowness and apply modeling best practices to resolve it.
8. The Anaplan Way
You should understand:
- Application of TAW principles to complex or multi-stream projects.
- Leading agile planning across distributed teams.
Study Tip: Understand how to apply TAW while managing enterprise-level risks, dependencies, and scope.
9. Data Orchestrator
You should understand:
- End-to-end automation of model actions, integrations, and schedules.
- Creating complex, conditional flows.
Study Tip: Know how to build, maintain, and monitor flows involving multiple data sources and actions.
10. Workflow
You should understand:
- Using Workflow for task assignment, tracking, and process control.
- Incorporating it into forecasting, approvals, and collaboration workflows.
Study Tip: Be ready to choose when to implement Workflow vs. standard UX flows or other third-party tools.
11. Best Practices – Implementations
You should understand:
- Leading complex implementations with multiple stakeholders and model streams.
- Long-term sustainability, handover planning, and stakeholder enablement.
Study Tip: Prepare for scenario questions involving at-risk implementations, team alignment, and governance.
12. General Apps
You should understand:
- How to design and manage enterprise-level apps with cross-model navigation.
- User roles, permissions, and content structuring across use cases.
Study Tip: Design apps with intuitive workflows, data integrity, and role-based experiences in mind.
13. Polaris
You should understand:
- What Polaris is, how it differs from the Classic engine.
- Use cases where Polaris is a better fit (e.g., high-dimensional use cases).
Study Tip: Know when to recommend Polaris vs. Classic and understand the limitations and benefits.
14. Optimizer
You should understand:
- The purpose of Optimizer for solving complex planning problems (e.g., supply chain, allocation).
- Setting objectives, constraints, and interpreting outputs.
Study Tip: Be able to identify when Optimizer is appropriate and how to structure a use case for it.