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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) assessments.
- 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 genuine 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.