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Exam Number: COH500 / CCAE
Exam Name: Cohesity Certified Architect Expert
Number of Questions: Not specified (the exam is proctored and adaptive- so the exact count may vary based on performance)
Time Allotted: 90 minutes
Passing Marks: 60% (candidates must achieve at least this score to pass)
Format: Multiple-choice questions- delivered and proctored through a third-party testing organization. Options include onsite testing at designated centers or remote proctoring.
Language: English

- Overview of Cohesity products- technology stack- and common use cases (e.g.- backup- recovery- file services).
- Limitations of Cohesity solutions and when to recommend alternatives or expansions.
- Designing the architecture of the Cohesity DataProtect Platform- including hardware nodes- software-defined storage- and scalability considerations.
- Integration of core components like storage- compute- and networking in on-premises and cloud deployments.
- Cohesity Data Cloud: The unified platform for data management- security- and protection across environments.
- SpanFS: Cohesity's proprietary distributed file system for efficient data storage and deduplication.
- Cohesity DataProtect: The primary backup and recovery solution for protecting virtual- physical- and cloud workloads.
- Cohesity Cloud Services: SaaS-based services for management- analytics- and orchestration in the cloud.
- Nodes and Clusters: Hardware/software building blocks for scaling Cohesity deployments (e.g.- C4000 series nodes).

- Sizing the Cohesity Data Platform using tools and methodologies to match customer requirements (e.g.- capacity planning for TB/PB-scale data).
- Selecting protection techniques (e.g.- continuous replication vs. scheduled backups) for diverse workloads like databases- VMs- and NAS shares.
- Designing comprehensive solutions spanning on-premises- public clouds (AWS- Azure- GCP)- and hybrid environments- including data mobility and orchestration.
- Using Helios for managing clusters in isolated or "dark site" environments (e.g.- air-gapped networks).
- Identifying business problems (e.g.- data silos- ransomware risks) and mapping Cohesity features to solve them- including gap analysis in existing strategies.
- Helios: Cohesity's cloud-based (or self-managed) console for centralized cluster management- monitoring- and analytics.
- Cohesity Replication: Policy-based data replication for disaster recovery and high availability.
- Cohesity CloudArchive: Long-term archival to cloud storage (e.g.- S3-compatible) for compliance and cost optimization.
- Cohesity CloudTier: Automated tiering of data to cloud object storage for secondary backups.
- Cohesity Organizations: Multi-tenancy feature for segregating data and access in shared environments.
- The Cohesity Web Sizing Tool: Online calculator for estimating cluster size based on workload- retention- and growth projections.
- Workloads: Protected entities like VMs (via VMware vSphere)- databases (SQL- Oracle)- or file systems (NFS/SMB).

- Key security features of Cohesity Data Cloud- including encryption- access controls- and threat detection.
- Design considerations for cyber resiliency- such as immutable storage- isolated recovery environments- and rapid restore processes.
- Architecting solutions for threat detection- response- and recovery in enterprise-scale deployments.
- Integrating security with data management (e.g.- locking policies for backups).
- MFA (Multi-Factor Authentication): Layered security for user logins to the Cohesity UI and APIs.
- SSO (Single Sign-On): Integration with identity providers like Okta or Azure AD for seamless access.
- RBAC (Role-Based Access Control): Granular permissions for users and service accounts.
- DataLock: Immutable- WORM (Write Once- Read Many) storage to prevent ransomware tampering.
- Cyber Vaulting: Isolated- air-gapped storage for clean backups.
- Cohesity FortKnox: Secure- logical air-gapped vault for ransomware recovery.
- Cohesity Anomaly Detection: AI/ML-based monitoring for unusual backup patterns indicating threats.
- Cohesity Threat Hunting/Scanning/Detection: Tools for proactive malware scanning and forensic analysis in backups.
- Cohesity Data Classification: Automated tagging and policy application based on data sensitivity (e.g.- PII- PCI compliance).

- Methods for integrating third-party tools (e.g.- orchestration platforms like Ansible- monitoring tools like Splunk).
- Using Cohesity's RESTful API for custom scripts- automations- and workflows (e.g.- automating backup policies).
- Best practices for API authentication- error handling- and scaling integrations.
- Common integrations with hypervisors (VMware- Hyper-V)- cloud providers- and security tools.
- Cohesity API: REST-based interface for programmatic control of clusters- policies- and data operations.
- Third-Party Integrations: Connectors for tools like Veeam (for hybrid backups)- ServiceNow (ticketing)- or SIEM systems (e.g.- Splunk for logging).
- Automation Workflows: Custom scripts using Python or PowerShell via API for tasks like alert notifications or data migration.

- Capturing and analyzing capacity/performance metrics from clusters to assess utilization (as-built vs. as-used) and forecast growth.
- Performing gap analysis on customer data protection strategies (e.g.- identifying single points of failure or compliance risks).
- Using diagnostic tools for pre-deployment checks- health monitoring- and troubleshooting.
- Common troubleshooting scenarios- such as replication failures or performance bottlenecks.
- Siren: Cohesity's diagnostic and health-check tool for cluster validation- pre-install checks- and issue resolution.
- Gap Analysis: Systematic review of current vs. ideal protection strategies- including RTO/RPO (Recovery Time/Time Objective) exams.
- Capacity Planning: Metrics like IOPS (Input/Output Operations Per Second)- throughput- and deduplication ratios for sizing expansions.
- As-Built vs. As-Used: Comparing designed architecture against actual runtime behavior for optimization.

- Data Management Fundamentals: Deduplication (global reduction of redundant data)- Compression (reducing data size)- Erasure Coding (fault-tolerant storage)- Retention Policies (scheduling data lifecycle).
- Deployment Models: On-Premises (self-hosted clusters)- SaaS (Cohesity-managed cloud)- Hybrid (mix of both).
- Use Cases: Ransomware Recovery- Disaster Recovery (DR)- Dev/Test Environments- Analytics on Backups.
- Compliance and Standards: GDPR- HIPAA- SOC 2 (Cohesity's platform certifications for security controls).
- Performance Metrics: RTO/RPO- Bandwidth Optimization- Parallel Processing for restores.