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| Section | Objectives |
|---|---|
| Nutanix Disaster Recovery Architecture | - Replication Types (Sync/Async) - Nutanix Leap Overview - Protection Domains |
| Recovery Operations | - Recovery Plans and Orchestration - Test Recovery Workflows - Failover and Failback Procedures |
| Data Protection and Backup Integration | - Snapshot Management - Backup Solutions Integration |
| Prism Central Management | - DR Monitoring and Operations - Cluster and Site Management |
| Disaster Recovery Fundamentals | - DR Concepts (RPO, RTO, SLAs) - Business Continuity Principles |
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NEW QUESTION # 17
What snapshot recovery point interval does Self-Service Restore support in a Nearsync setup?
Answer: A
Explanation:
Self-Service Restore (SSR) is a Nutanix feature that allows end-users to recover individual files by mounting a recovery point as a local drive within the guest VM. NearSync replication provides high-frequency protection with Recovery Point Objectives (RPOs) as low as 1 minute using Lightweight Snapshots (LWS).
However, there is a technical distinction in how these high-frequency points are handled for end-user recovery.
In a NearSync configuration, the system generates dozens of LWS throughout an hour. While these are available for full VM disaster recovery, Nutanix limits the " granularity " available for Self-Service Restore to manage metadata overhead and guest agent performance. By default, SSR in a NearSync environment typically supports recovery point intervals of 1 hour. This means that while an administrator can restore the entire VM to a state from 5 minutes ago, an end-user using the SSR browser inside the VM will see recovery points at 1-hour increments (the " consolidated " points). This design balances the need for high-frequency disaster protection with the operational efficiency of file-level recovery. If a user needs a file from a point between the hourly intervals, an administrator may need to perform a full VM clone or an " Out-of-place " restore to provide access to those more granular lightweight recovery points.
NEW QUESTION # 18
What must the maximum Round Trip Latency be less than between a Witness VM and Metro Availability PDs?
Answer: C
Explanation:
Nutanix Metro Availability is a continuous availability solution that provides a zero Recovery Point Objective (RPO) and near-zero Recovery Time Objective (RTO) across two sites. For this configuration, there are two distinct latency requirements that administrators must manage. First, the Round Trip Time (RTT) latency between the two storage clusters participating in the synchronous replication must be less than 5ms to ensure application performance is not significantly degraded by the write-synchronization process. Second, the Witness VM, which acts as an external arbitrator to prevent " split-brain " scenarios during a site failure, has a more flexible latency requirement. The maximum RTT between the Witness VM and the managed Protection Domains (PDs) must be less than 200ms. This higher threshold allows the Witness to be placed in a separate geographical region or a third-party cloud availability zone (AZ), ensuring it remains independent of the failure domain affecting the primary and secondary sites. If the latency to the Witness exceeds 200ms, the cluster may be unable to quickly acquire the lock necessary to automate failover, potentially causing the Metro Availability configuration to fail during an actual disaster event.
NEW QUESTION # 19
In the case of a protection domain containing more than 500 VMs, what is the first step an engineer must take before migrating to Prism Central-based protection policies while ensuring all VMs remain protected?
Answer: C
Explanation:
Migrating from legacy Protection Domains to modern Prism Central Protection Policies is a recommended practice for scaling DR management. However, large environments must account for architectural limits during this transition. A Nutanix cluster has specific maximum thresholds for the number of entities (VMs) that can be contained within a single Protection Domain, and similar limits exist for the initial " handoff " to Prism Central.
If a single legacy Protection Domain contains more than 500 VMs, attempting to migrate it as a single unit can lead to timeouts, metadata synchronization failures, and potential gaps in protection. To ensure that all VMs remain consistently protected during the migration, the first step is to " split " the existing large Protection Domain into multiple smaller, more manageable ones. For example, an administrator might split a
600-VM domain into three 200-VM domains. This reduction in " entity density " allows the Nutanix Cerebro and Prism Central services to process the migration tasks more efficiently without hitting resource contention or task timeout limits. Once the VMs are organized into these smaller groups, they can be systematically unlinked from the legacy domains and added to the new PC-based Protection Policies. This phased and controlled approach minimizes risk and ensures that a valid recovery point always exists for every VM throughout the entire migration lifecycle.
NEW QUESTION # 20
An administrator has set up asynchronous replication between the Marseille and Paris clusters for the VMs in the FIN-PROD storage container. After a planned production failover from Paris to Marseille, the administrator noticed that the VMs were scattered across all the storage containers in the Marseille cluster.
Which statement is true regarding this scenario?
Answer: A
Explanation:
In modern Nutanix Disaster Recovery (using Prism Central-based Protection Policies), storage placement is often governed by Storage Policies rather than simple container-to-container mapping. Storage Policies use Nutanix Categories to determine where a VM should be placed to meet performance or compliance requirements. In this scenario, the VMs were successfully replicated and recovered, but they were placed in " all the storage containers " rather than the intended FIN-PROD container at the Marseille site. This indicates that while the data arrived, the " destination placement rules " were missing. If a storage policy was created on the Paris cluster to keep these VMs in FIN-PROD but that policy was not mirrored or assigned at the Marseille cluster, the system defaults to the Acropolis Dynamic Scheduler (ADS) placement. ADS will distribute the VMs across all available containers to balance load and capacity, leading to the " scattered " result observed. To resolve this and ensure consistent failover behavior, the administrator must ensure that both the categories and the corresponding storage policies are identical and active at both availability zones.
While a missing container (Option C) would typically cause a replication failure rather than scattered recovery, a missing storage policy specifically explains the lack of orchestrated placement during the failover event.
NEW QUESTION # 21
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 # 22
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