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Cohesity Certified Architect Expert (COH500) Practice Test

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Exam Number: COH500 / CCAE
Exam Name: Cohesity Certified Architect Expert
Number of Questions: Not specified (the test 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.

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Question: 1023
A customer runs multiple retention policies on a single Cohesity cluster for different data
types. Which scenario might cause issues that require architectural changes?
A. Retention of multiple years for archived compliance data alongside daily incremental
backups
B. High snapshot frequency causing metadata database bloat
C. Simultaneous replication and archival jobs competing for node resources
D. Using the same node types across retention policies regardless of workload
characteristics
Answer: B,C,D
Explanation: High snapshot frequency increases metadata size and can degrade
performance. Concurrent replication and archival jobs strain cluster resources. Uniform
node types may fail to optimize workload-specific performance needs. Long retention
typically requires policy tuning but is supported.
Question: 1024
A ransomware attack compromises a 5TB file share. Which Cohesity features ensure
rapid recovery?
A. Instant Mass Restore with fully hydrated snapshots
B. CyberScan to verify snapshot integrity
C. Manual restoration using file-level recovery
D. Helios anomaly detection for attack identification
Answer: A,B,D
Explanation: Instant Mass Restore enables rapid recovery of large datasets, CyberScan
verifies snapshot integrity to avoid reinfection, and Helios anomaly detection identifies
the attack timeline. Manual file-level recovery is too slow for a 5TB dataset.
Question: 1025
An administrator observes snapshot jobs failing in a multi-tenant cluster. Which
troubleshooting steps are appropriate considering organization segregation?
A. Verify snapshot job ownership within the correct organization context
B. Check organization-specific quota limits affecting snapshot creation
C. Restart entire cluster nodes irrespective of tenant context
D. Review replication schedules globally without organization filters
Answer: A,B
Explanation: Snapshots belong to organizations; quota limits can prevent snapshots.
Restarting whole cluster or ignoring organization context is inefficient.
Question: 1026
Your organization is deploying Cohesity Data Cloud in an AWS environment with EC2
instances and S3 buckets. You need to protect EC2 instances with automated snapshot-
based backups and archive data to S3. Which AWS services and Cohesity settings must
be configured?
A. Assign an IAM role with EC2 and S3 permissions to the Cohesity cluster
B. Configure Cohesity to use AWS KMS for encryption of archived data in S3
C. Enable AWS Snapshot Manager in Cohesity for EC2 instance backups
D. Set up an AWS Lambda function to trigger Cohesity backup jobs
Answer: A,B
Explanation: To protect EC2 instances and archive to S3, Cohesity requires an IAM role
with permissions for EC2 (to manage snapshots) and S3 (for archiving), making A
correct. Configuring AWS KMS in Cohesity ensures encrypted data archival to S3,
making B correct. AWS Snapshot Manager is not a Cohesity feature; Cohesity directly
manages EC2 snapshots. AWS Lambda is not required, as Cohesity's internal scheduling
handles backup jobs.
Question: 1027
When sizing for a NAS-heavy environment storing 500 TB of active data with high
change rates (~10% daily change), and assuming Cohesity compression of 2:1 and
snapshot retention of 14 days, what is the optimal snapshot storage estimate for designing
the platform?
A. 400 TB
B. 500 TB
C. 700 TB
D. 1000 TB
Answer: C
Explanation: Daily changed data is 10% of 500 TB = 50 TB. For 14 days, changed data
totals 700 TB raw. With 2:1 compression, this is 350 TB. Including metadata and
snapshot overhead, estimate around 700 TB is required to provision snapshots capacity
safely.
Question: 1028
A Cohesity cluster reports a 500% spike in file modifications for an Oracle database
backup. Which steps should you take to investigate?
A. Check the Security Center for IOC alerts
B. Run cohesity_threat --scan --workload oracle
C. Use cohesity_anomaly --details to analyze file change patterns
D. Update the backup policy to increase retention
Answer: A,B,C
Explanation: Checking the Security Center for IOC alerts identifies potential threats.
Running cohesity_threat --scan --workload oracle scans the Oracle backup for malware.
Using cohesity_anomaly --details analyzes file change patterns to confirm the anomaly.
Updating the backup policy is unrelated to investigation.
Question: 1029
A Cohesity on-premises cluster uses a 6:2 erasure coding scheme. To tolerate 3 node
failures in a 9-node setup, which configuration is needed?
A. Change to 6:3 erasure coding with RF=2
B. Change to 7:2 erasure coding with RF=3
C. Change to 7:3 erasure coding with RF=2
D. Change to 8:2 erasure coding with RF=3
Answer: C
Explanation: The 7:3 erasure coding scheme with RF=2 in a 9-node cluster tolerates 3
node failures. It splits data into 4 data fragments and 3 parity fragments, enabling
recovery from 3 failures. RF=2 ensures sufficient redundancy while optimizing storage
efficiency.
Question: 1030
In the Cohesity sizing tool, to estimate cluster growth over five years with compound
data growth and retention impacts, which modeling approach is most accurate?
A. Input linear growth rate annually with fixed retention period
B. Model year-over-year growth using compound growth formula in the retention input
C. Ignore growth for sizing; adjust cluster size later manually
D. Use default retention and growth without adjustment
Answer: B
Explanation: Compound growth calculation accounts for the accumulation of data year-
over-year combined with retention impacts, providing accurate long-term sizing
projections.
Question: 1031
Which command configures Cohesity Data Cloud to use Azure AD for authentication?
A. iris_cli auth add --type=azuread
B. cohesity ad integrate --azure
C. iris_cli cluster auth --azuread
D. cohesity auth setup --ad=azure
Answer: A
Explanation: The iris_cli auth add --type=azuread command integrates Azure AD for
authentication in Cohesity Data Cloud. Other options are syntactically incorrect.
Question: 1032
Which SAML attribute must be configured in Azure AD to assign a Cohesity �Admin�
role to a user group?
A. http://schemas.microsoft.com/identity/claims/displayname
B. http://schemas.xmlsoap.org/claims/Group
C. http://schemas.xmlsoap.org/ws/2005/05/identity/claims/emailaddress
D. http://schemas.microsoft.com/identity/claims/objectidentifier
Answer: B
Explanation: The http://schemas.xmlsoap.org/claims/Group attribute in the SAML
assertion maps Azure AD groups to Cohesity roles, such as �Admin,� for proper RBAC
assignment. Other attributes do not convey group or role information.
Question: 1033
During pre-install checks using Siren, you receive a validation failure stating �IP address
validation failed on node.� Which potential configuration errors could cause this?
A. Duplicate IP addresses configured on cluster nodes
B. DHCP scope exhaustion causing IP conflicts during deployment
C. Incorrect subnet mask mismatch across cluster nodes
D. IP address reserved in firewall causing packet drops
Answer: A,B,C
Explanation: Duplicate IPs and DHCP scope exhaustion cause IP conflicts. Subnet mask
mismatches cause network communication failures. Firewall reservation does not cause
an IP validation failure at install.
Question: 1034
Scenario: A Cohesity DataProtect job for a 2 TB NAS filer fails due to snapshot
inconsistency. Which setting ensures snapshot-consistent backups for NetApp NAS?
A. Enable quiescing of the NAS filer
B. Set snapshot consistency to crash-consistent
C. Use Cohesity's native snapshot integration
D. Disable deduplication for the NAS job
Answer: C
Explanation: Cohesity's native snapshot integration for NetApp NAS ensures snapshot-
consistent backups without quiescing the filer, allowing continuous writes while
protecting data. Quiescing disrupts operations, crash-consistent snapshots are less
reliable, and disabling deduplication is unrelated to consistency.
Question: 1035
You are developing a custom workflow to automate Cohesity backup job scheduling
using the REST API. The workflow must schedule a job to run every 6 hours with a
7-day retention. Which JSON payload is correct?
A. json
{"name":"HourlyBackup","schedules":[{"frequency":6,"unit":"Hours","startTime":"00:00:00","retention":7}]}
B. json
{"name":"HourlyBackup","frequency":"6Hours","retentionDays":7}
C. json {"policy":"HourlyBackup","schedule":"6Hours","retention":7}
D. json
{"name":"HourlyBackup","dailySchedule":{"frequency":6,"retention":7}}
Answer: A
Explanation: The correct JSON payload specifies the schedule with a 6-hour frequency,
start time, and 7-day retention in the correct format for the /v2/data-protect/policies
endpoint. Other payloads use incorrect keys or structures.
Question: 1036
A Cohesity cluster with 8 nodes supports 1 PB with a target of 100,000 IOPS. Runtime
metrics show 80,000 IOPS. The workload is 50% write-heavy. What is the most effective
solution?
A. Add 2 nodes to the cluster
B. Disable deduplication for write-heavy workloads
C. Reconfigure to RAID 1
D. Upgrade to NVMe SSDs
Answer: A
Explanation: Adding 2 nodes increases IOPS capacity to meet the 100,000 target by
distributing the workload. Disabling deduplication sacrifices efficiency without
guaranteed IOPS gains. RAID 1 may help but isn't indicated as misconfigured. NVMe
SSDs Strengthen performance but are less cost-effective than adding nodes.
Question: 1037
Which parameters must be adjusted on a Cohesity cluster to support extremely high
retention immutable backups without impacting production performance?
A. Increase metadata cache allocation per node
B. Enable deduplication inline for all backup jobs
C. Configure background snapshot pruning during low utilization windows
D. Disable encryption to reduce CPU load
Answer: A,C
Explanation: Metadata cache improves snapshot metadata access, pruning during low
utilization reduces performance impact. Deduplication reduces storage but increases
CPU. Disabling encryption is not recommended for security.
Question: 1038
A Cohesity engineer needs to script automated data recovery tasks across several clusters
via Helios API. Which authentication method provides the most secure programmatic
access?
A. Basic authentication using cluster admin credentials
B. OAuth 2.0 token-based authentication with refresh tokens
C. Static API keys with unrestricted access permissions
D. Anonymous read-only API access for monitoring
Answer: B
Explanation: OAuth 2.0 with token refresh is the most secure for programmatic
operations, avoiding exposure of static credentials; basic auth and static keys are less
secure; anonymous read-only access won't allow data recovery tasks.
Question: 1039
A Cohesity administrator wants to configure a multi-tenant FortKnox deployment. Which
of the following settings are mandatory to support isolated tenant access?
A. Tenant-specific encryption keys with no cross-tenant sharing
B. Dedicated FortKnox vault per tenant with unique access policies
C. Unified tenant access auditing enabled on the central portal
D. Shared bucket configuration for cost-effective storage allocation
Answer: A,B,C
Explanation: Multi-tenant FortKnox requires tenant-specific encryption keys, dedicated
vaults per tenant, and centralized audit logging. Shared buckets negate tenant isolation.
Question: 1040
A Cohesity cluster is configured with a retention policy for a 5 TB Oracle database,
requiring daily incremental backups for 30 days and full backups retained for 6 months.
Which command sets this policy?
A. cohesity policy create --name oracle_policy --daily 30 --monthly 6 --full-backup
B. cohesity policy create --name oracle_policy --daily-retention 30d --monthly-retention
6m --incremental
C. cohesity policy create --name oracle_policy --daily 30d --monthly 6m --full
D. cohesity policy create --name oracle_policy --daily-retention 30 --monthly-retention 6
--incremental-backup
Answer: B
Explanation: The command cohesity policy create --name oracle_policy --daily-retention
30d --monthly-retention 6m --incremental configures daily incremental backups retained
for 30 days and monthly full backups for 6 months. The --incremental flag ensures daily
backups capture only changed data, while --monthly-retention 6m retains full backups for
6 months, aligning with the requirements.
Question: 1041
A Cohesity architect must validate the integrity of backups stored in immutable vaults
after a security incident. Which methods are recommended?
A. Perform built-in checksum verification on vault snapshots
B. Use forensic tooling external to Cohesity for integrity check
C. Run automated backup verification jobs daily
D. Manually mount immutable snapshots and verify critical files
Answer: A,C
Explanation: Built-in checksum and automated verification jobs help quickly validate
data integrity. External tooling and manual mounts are valid but time-consuming and less
scalable.
Question: 1042
In a scenario where a cluster has multiple ransomware anomalies detected by Helios,
what are the recommended immediate response actions?
A. Trigger legal hold on exact backup sets to preserve data
B. Initiate cluster-wide rollback to last known good snapshot
C. Disable snapshot creation temporarily to prevent corrupted data
D. Notify security team and quarantine affected cluster via Helios
Answer: A,D
Explanation: Legal hold prevents deleting potentially compromised backups, and
notifying security for quarantine or investigation is critical. Rolling back or disabling
snapshots without full understanding can cause data loss or missed detection.
Question: 1043
A Cohesity cluster is configured with DataLock for a VMware backup job. Which
security features are automatically enforced when DataLock is enabled to protect against
ransomware tampering?
A. AWS Object Lock integration for cloud snapshots
B. Granular Role-Based Access Control (RBAC)
C. Immutable snapshot filesystem
D. Multi-Factor Authentication (MFA)
Answer: B,C
Explanation: DataLock, Cohesity's WORM feature, enforces immutability through an
immutable snapshot filesystem, preventing modification or deletion of backups. It
integrates with granular RBAC to restrict unauthorized access. MFA and AWS Object
Lock are separate security features not automatically enabled by DataLock.
Question: 1044
To create a custom RBAC role in Cohesity allowing users to generate reports but not
modify backup jobs, which permissions are essential to include?
A. Read and execute permissions on report modules only
B. Write permission on backup job configurations
C. Admin privilege on export storage targets
D. Delete permission on backup job history
Answer: A
Explanation: Report generation requires read and execute access to reporting modules
only. Backup configurations, admin rights, or delete permissions are unnecessary and risk
privilege escalation.
Question: 1045
Which steps ensure Cohesity Data Cloud compliance with GDPR for data stored in
AWS?
A. Enable encryption-at-rest with AWS KMS
B. Configure data retention policies in Cohesity Helios
C. Set up SpanFS audit logging for access tracking
D. Use public S3 buckets for data storage
Answer: A,B,C
Explanation: Encryption-at-rest with AWS KMS, retention policies in Helios, and
SpanFS audit logging ensure GDPR compliance by securing data, enforcing retention,
and tracking access. Public S3 buckets violate GDPR's data protection requirements.
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