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| Section | Weight | Objectives |
|---|---|---|
| Cluster Management | 25% | - Networking configuration
|
| Disaster Recovery and Data Protection | 20% | - Business continuity planning
|
| Advanced Operations | 10% | - Prism Central administration
|
| VM Management | 25% | - Migration and mobility
|
| Monitoring and Troubleshooting | 20% | - Security and access control
|
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59. Frage
An administrator wants to run a workload at site A, but replicate it to two clusters with different RPOs. Which replication option fits the needs?
Antwort: A
Begründung:
The requirement is straightforward: there is one source site (Site A) and the workload must be replicated to two destination clusters, each with potentially different RPO settings. In Nutanix DR design terminology, that is a one-to-many replication pattern. Nutanix documentation for multisite disaster recovery explains that a single protection policy can include replication schedules to multiple recovery clusters, which is how a source can protect workloads to more than one target with different schedule definitions. That makes D the correct answer.
The other choices describe different topologies. Many-to-One means multiple sources targeting one destination. Many-to-Many is broader bidirectional or multiple-source/multiple-target logic than the question requires. Two-Way-Mirroring is not the correct pattern for one source sending copies outward to two other sites. Nutanix's protection-policy model is specifically flexible enough to define different replication schedules toward separate destinations, which is why this exact scenario is best labeled One-to-Many. So for an exam-aligned and documentation-consistent answer, D is the right choice.
60. Frage
An administrator supports multiple AHV clusters under Prism Central and uses Intelligent Operations playbooks for remediation.
The organization recently standardized alert policies, but the alert policy names and IDs change between environments due to automated deployments and periodic updates.
The requirement is to trigger a remediation playbook for any alert that matches a defined performance pattern (for example, impact type and severity plus a keyword pattern), regardless of which specific alert policy generated it, while avoiding unrelated non-performance alerts.
Which playbook trigger best meets the requirement?
Antwort: D
Begründung:
The key requirement here is that the playbook must fire based on a pattern of alert characteristics, not on one fixed alert policy name or ID. Nutanix Intelligent Operations documentation provides a trigger type specifically for this purpose: Alerts Matching Criteria. That trigger lets administrators filter alerts using criteria such as severity, type, title patterns, and similar attributes, which is exactly what is needed when policy identifiers vary across environments but the response logic should stay consistent. It avoids binding the playbook to one alert definition and instead binds it to the alert behavior that matters operationally. ( Nutanix ) A single Alert trigger would be too brittle because it ties the automation to one named alert policy. A Webhook trigger would move the matching logic outside Prism and add unnecessary external dependency when the requirement can already be met natively. An Event trigger is also too broad or mismatched because the question is explicitly about filtering alerts by performance-related characteristics. Nutanix created "Alerts Matching Criteria" to handle precisely this kind of cross-environment, pattern-based automation. Therefore, A is the best answer because it gives the administrator scalable, environment-agnostic remediation logic while still excluding unrelated alerts through filters. ( Nutanix )
61. Frage
As part of a resource planning exercise, an administrator observes that a significant number of guest VMs are consistently using less than half of their allocated resources. Which VM profile in Prism Central best categorizes these VMs?
Antwort: B
Begründung:
In Prism Central behavioral learning and VM efficiency views, Nutanix defines an over-provisioned VM as one that is oversized and wasting resources that are not actually needed. If a VM is consistently using less than half of what has been allocated, it is a classic over-provisioning signal: the VM has more CPU and/or memory assigned than its real workload profile requires. ( Nutanix Portal ) The wrong options each represent a different operational pattern. An inactive VM is largely idle. A constrained VM lacks sufficient resources and typically shows signs of pressure, contention, or poor performance. A bully VM consumes disproportionate resources and can negatively affect neighbors. None of those fit the scenario of consistently low utilization relative to allocated sizing. Nutanix includes these VM efficiency categories so administrators can right-size workloads and reclaim capacity before buying more infrastructure. In a resource planning exercise, identifying over-provisioned VMs is especially important because right-sizing them can delay expansion and improve overall efficiency. That is why D is the correct classification. ( Nutanix Portal )
62. Frage
A cluster of six AHV nodes has a Memory Runway of only 12 days, while the current cluster memory usage shows 60% utilization. What could be the reason?
Antwort: B
Begründung:
In Prism Central, Runway Analysis is not a simple reading of current utilization; it is a forecast based on historical consumption trends. Nutanix documentation explains that capacity planning and runway use machine learning and historical resource behavior to estimate when CPU, memory, or storage will run out.
That means a cluster can still show only 60% memory used today and yet have a short memory runway if the memory-consumption trend has been climbing steadily and rapidly over recent history. In this scenario, the most likely reason for only 12 days of runway is sustained growth in memory use over the historical observation period. ( Nutanix ) The distractors do not fit the documented behavior as well. Nutanix does support scenario modeling, but a low runway in the standard view is primarily a forecast outcome, not a default penalty for missing history or a result of guaranteed HA mode by itself. HA reservations can reduce available effective capacity, but the wording of the question points to forecasting logic rather than static reservation math. Since Nutanix runway is based on actual consumption trends, the answer that best explains a low runway despite moderate present- day utilization is that memory usage has been continuously increasing, which is option B. ( Nutanix )
63. Frage
An administrator needs to migrate an existing VM from a 3-tier ESXi environment to Nutanix AHV.
What should be used to minimize downtime during the migration?
Antwort: C
Begründung:
Nutanix's recommended migration tool for moving VMs into AHV is Nutanix Move. Official Nutanix guidance and migration material specifically recommend Move as the preferred mechanism for migrating VMs to AHV, especially when the goal is to reduce disruption compared with coarse methods like backup- and-restore. Move is purpose-built for this scenario and supports migration workflows from platforms such as VMware into Nutanix AHV with minimized downtime during cutover. ( Nutanix ) The distractors highlight common confusion between the overall product and helper components. Move Agent may be involved in certain source-platform workflows, but the question asks what should be used to minimize downtime at the solution level. The correct answer is the migration platform itself: Nutanix Move. Backup and restore is usually more disruptive and manual. CCLM is unrelated here. Nutanix positioning is very clear that the standard, supported, low-downtime migration path from a third-party virtual environment to AHV is Move, so D is correct. ( Nutanix )
64. Frage
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