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CCAE-Architect exam Format | CCAE-Architect Course Contents | CCAE-Architect Course Outline | CCAE-Architect exam Syllabus | CCAE-Architect exam Objectives

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 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.

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