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| Section | Objectives |
|---|---|
| Data Protection and Backup Integration | - Snapshot Management - Backup Solutions Integration |
| Prism Central Management | - Cluster and Site Management - DR Monitoring and Operations |
| Recovery Operations | - Test Recovery Workflows - Recovery Plans and Orchestration - Failover and Failback Procedures |
| Disaster Recovery Fundamentals | - Business Continuity Principles - DR Concepts (RPO, RTO, SLAs) |
| Nutanix Disaster Recovery Architecture | - Protection Domains - Nutanix Leap Overview - Replication Types (Sync/Async) |
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NEW QUESTION # 26
An administrator notices that VM replication from ClusterA to ClusterB fails consistently at the same point during the replication job. The following observations are noted by the administrator:
* The Prism dashboard shows the replication job failing during snapshot creation.
* ClusterB storage pool and container usage is under 80%, well below capacity.
* Network latency/Pings between ClusterA and ClusterB averages 3ms, with occasional spikes to 25ms.
* VM event logs indicate frequent I/O timeout errors during the replication window.
* Both clusters are running compatible AOS versions.
What is the most likely cause for the failing replications?
Answer: B
Explanation:
Troubleshooting replication failures requires analyzing the relationship between snapshot creation and data transfer. In this scenario, the failure occurs during the snapshot creation phase rather than during the transfer of data across the wire. While network spikes and I/O timeouts are noted (Option D), these are often symptoms rather than the root cause when the specific failure point is the snapshot itself .
If multiple replication jobs or protection policies are scheduled to run at the exact same time, the cluster may experience " snapshot contention " or metadata locks. When schedules overlap significantly, the overhead on the Controller VMs (CVMs) can lead to the observed I/O timeout errors in the guest OS as the system struggles to quiesce applications and freeze the filesystem multiple times in quick succession. This is particularly common in environments with high data change rates where the previous replication cycle has not finished before the next one begins. Since storage is sufficient (Option B) and the clusters are compatible (Option E), the most logical cause is schedule misconfiguration. To resolve this, the administrator should stagger the start times of protection policies or combine multiple VMs into a single, unified policy to ensure that the Nutanix snapshot engine can process the requests sequentially without causing the resource exhaustion that leads to job failure.
NEW QUESTION # 27
How does Nutanix Disaster Recovery automatically handle Container Mapping if a storage container with the same name does not exist at the recovery Nutanix cluster?
Answer: A
Explanation:
Storage Container mapping is a fundamental requirement for successful replication between Nutanix clusters, as it defines where the replicated recovery point data will reside on the destination cluster. In the early versions of Nutanix Disaster Recovery, administrators had to manually map source containers to destination containers to ensure the replication stream had a valid landing zone. However, to simplify the deployment of BCDR solutions and reduce manual configuration errors, modern Nutanix Disaster Recovery behavior has been enhanced. If the system detects that a VM is protected but no manual container mapping has been established in Prism Central, it will proactively check the recovery site for a container with the same name as the source. If that container does not exist, the orchestrator will automatically create a new storage container with the identical name on the remote cluster to allow replication to proceed without interruption. This automation ensures that " out-of-the-box " protection policies can function immediately even if the recovery site hasn ' t been fully pre-provisioned with storage structures. This behavior prevents replication from failing due to minor administrative oversights and maintains the integrity of the data protection schedule.
NEW QUESTION # 28
An administrator has recently completed the initial configuration of Nutanix Disaster Recovery for a production environment. Protection Policies and Recovery Plans have been configured and validated by the senior infrastructure team.
The administrator has confirmed that the expected categories are correctly associated with both the Protection Policies and Recovery Plans. During a scheduled test failover, the administrator notices that several VMs are missing from the recovery.
The administrator reviews the environment and notes the following:
* The Protection Summary tab does not show any warnings or errors
* No replication tasks are currently ongoing
* The missing VMs were all deployed within the last two weeks as part of a new application rollout
* The missing VMs are running on the same cluster as other VMs that recovered successfully during the test failover
* The application team followed the standard VM deployment checklist but did not coordinate with the infrastructure team during provisioning Given this information, what is the most likely cause of the missing VMs?
Answer: C
Explanation:
Modern Nutanix Disaster Recovery (Leap) relies on " Categories " to automate the inclusion of virtual machines into Protection Policies and Recovery Plans. When a Protection Policy is created, it is typically applied to a category (e.g., AppType:SQL) rather than individual VM names.
In this scenario, the newly deployed VMs were missed during a test failover despite other VMs on the same cluster recovering successfully. The most likely root cause is that the application team, working independently, failed to assign the required categories to the new VMs during the provisioning process.
Because the VMs lacked the correct category tags, the Nutanix Protection Policy did not " see " them, and consequently, no recovery points were ever created for them. This is a common operational failure in environments where " infrastructure as code " or strict provisioning standards are not enforced. Recovery Plans (Option A) do not need manual re-synchronization for new VMs if the categories are correctly mapped.
While an initial sync is required (Option D), it would typically show a task or progress rather than just leaving the VMs " missing " from the entire protection summary. Therefore, verifying category assignment is the primary troubleshooting step.
NEW QUESTION # 29
An administrator managing critical VMs has been tasked with designing a Disaster Recovery solution where the VMs are brought up on the target cluster if the source cluster experience any issues. The failover needs to be triggered without any user intervention and with minimal downtime. What automatic failure execution solution is best suited?
Answer: C
Explanation:
To achieve the goal of " minimal downtime " and " no user intervention, " a zero-RPO solution with automated failover capabilities is required. In the Nutanix ecosystem, this is accomplished through Synchronous Replication. Unlike Asynchronous or NearSync replication, which rely on snapshot intervals and manual failover triggers, Synchronous replication ensures that data is written to both the local and remote clusters simultaneously. This architecture provides the foundation for zero data loss during a site failure.
However, the " automatic " part of the requirement is fulfilled by the addition of a Witness VM. Without a Witness, a secondary cluster cannot independently determine if the primary cluster has actually failed or if there is merely a network partition. In a " no witness " scenario (Option C), the secondary cluster stays in a passive state to prevent " split-brain " data corruption, requiring an administrator to manually promote the storage. By deploying a Witness VM at a third, independent site, the secondary cluster can communicate with the Witness to " acquire the lock " on the protection domain. Once the Witness confirms the primary site is unreachable, the orchestrator automatically promotes the secondary container and powers on the VMs. This combined solution of a Synchronous Protection Policy and a Witness VM provides the highest level of availability and the fastest possible recovery without requiring human action during the disaster event.
NEW QUESTION # 30
An administrator initiates an unplanned failover due to a primary AZ outage. What is the worst-case scenario for data loss and which recovery point will be used by default?
Answer: A
Explanation:
An " Unplanned Failover " is triggered when the primary site is completely offline or unreachable due to a disaster. Because the primary site cannot be contacted to perform one last synchronization of data, the recovery must rely on the recovery points that were successfully replicated to the destination cluster before the outage occurred.
In this scenario, the worst-case data loss is equivalent to the Recovery Point Objective (RPO) defined in the Protection Policy. For example, if the RPO is set to 1 hour, and the disaster occurs 59 minutes after the last successful replication, the business will lose 59 minutes of data. By default, the Nutanix orchestration engine will automatically select and use the most recent recovery point available at the recovery site to restore the virtual machines. While an administrator can manually choose an older recovery point if needed (e.g., in the case of a ransomware attack), the default behavior is to minimize data loss by using the newest available point. This highlights why setting an appropriate RPO is the most important design decision for managing potential data loss in an unplanned failure event.
NEW QUESTION # 31
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