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| Section | Objectives |
|---|---|
| Topic 1: Virtualization and AHV | - AHV architecture and features - VM lifecycle management - Image service and VM deployment |
| Topic 2: Prism Administration and Management | - Monitoring and alerts - Reporting and analytics - Prism Element and Prism Central |
| Topic 3: Networking and Security | - Network configuration in AHV - Microsegmentation and security policies - Virtual networking concepts |
| Topic 4: Nutanix Architecture and Core Concepts | - Nutanix AOS components and architecture - Hyperconverged Infrastructure (HCI) principles - Cluster design fundamentals |
| Topic 5: Storage and Data Services | - Storage containers and policies - Data resiliency and replication - Snapshots and backups |
| Topic 6: Cluster Operations and Lifecycle Management | - Capacity planning and optimization - Health monitoring and troubleshooting - Upgrades and lifecycle management |
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NEW QUESTION # 107
Which setting will ensure a specific storage container maintains a minimum amount of available storage, even if other containers in the same storage pool are consuming space?
Answer: C
Explanation:
The Nutanix setting designed to protect a portion of space for a particular container is Reserved Capacity (Logical). The role of this setting is to logically reserve capacity for that container so that other containers sharing the same storage pool cannot consume all the available space first. In exam language, this is the option that guarantees a minimum amount of usable headroom remains allocated for that container's future growth, independent of the consumption behavior of neighboring containers. ( Nutanix Portal ) The distractors represent metrics or controls with different purposes. Advertised Capacity influences how much capacity is presented logically, but it does not reserve space. Throttled IOPS controls performance, not capacity isolation. Total Space (Physical) is simply a capacity measure and offers no reservation behavior.
Nutanix separates storage efficiency, capacity reporting, and capacity reservation into different controls, so administrators need to choose the one aligned to the requirement. Because the question asks for a guarantee that one container retains a minimum amount of available storage even when others are consuming space, the correct answer is Reserved Capacity (Logical). ( Nutanix Portal )
NEW QUESTION # 108
An administrator configures network segmentation and places the Data Services IP (DSIP) in a secondary non- routable subnet while the cluster is registered to Prism Central. Prism Central cannot initiate or complete cluster upgrades. How should the administrator resolve this issue?
Answer: B
NEW QUESTION # 109
An administrator has 16 hosts in a cluster, including four undersized older hosts that needs to be removed from the cluster. Unfortunately new servers will take more than six months to be procured.
What policy should be defined within Prism Central to prevent five mission critical VMs from ever running on the older hosts?
Answer: D
Explanation:
The requirement is not to keep the mission-critical VMs together or apart from each other; it is to prevent them from running on a specific set of older hosts. In Nutanix Prism Central policy terms, that is a VM-Host Anti-Affinity Policy. Anti-affinity at the VM-host level allows administrators to mark selected hosts as unsuitable targets for selected VMs, which is exactly what the scenario requires. Therefore C is the correct answer.
The distractors all target the wrong relationship. VM-VM affinity and anti-affinity control how VMs are placed relative to other VMs, not whether they can run on particular hosts. VM-Host Affinity would express a positive preference or requirement to run on a chosen host group, but the question is framed negatively: the VMs must never run on the older hosts. Nutanix's policy model supports this exact exclusion use case through VM-Host Anti-Affinity. In a long refresh delay scenario, this is the safest operational control to keep sensitive workloads off weaker or undesirable hardware without removing those hosts from the cluster immediately.
Therefore C is the authentic answer.
NEW QUESTION # 110
An administrator receives intermittent "VM I/O latency" complaints from two application teams that share the same AHV cluster.
In Prism Central, multiple performance-related alerts appear across the same 30 minute window, but only some VMs are impacted.
The administrator needs to collect the most relevant platform logs for escalation, minimizing noise and ensuring the bundle covers the exact time window when the alert condition occurred. The organization also requires that the log bundle can be attached to a support case without manual repackaging.
Which approach best satisfies the requirement?
Answer: D
Explanation:
Nutanix documentation for log collection in Prism Central and related Logbay guidance supports collecting logs for a specific time range, which is exactly what this question requires to minimize noise and capture only the relevant 30-minute incident window. Nutanix also documents that when sending logs to Nutanix Support FTP, the administrator can enter a support case number, allowing the bundle to be attached to the case without manual repackaging. That makes D the strongest answer: use the alert details to identify the impacted entities and timestamps, collect the logs for that time window, and upload them using the support-case workflow. ( Nutanix Portal ) The other options do not produce the right diagnostic artifact. Auto-resolve only affects alert state, not log quality. Tightening thresholds may generate more alerts, but it does not replace collecting platform logs.
Exporting a CSV of alerts can help summarize incidents, but it is not the primary evidence Nutanix Support needs for performance troubleshooting. Nutanix's supported model is very clear: identify the incident timing, collect the appropriate logs for that window, and upload the bundle in a support-compatible way. Therefore D is the authentic answer from a Nutanix troubleshooting workflow perspective. ( Nutanix Portal )
NEW QUESTION # 111
Which storage-optimization method is recommended for full clone VDI workloads?
Answer: B
Explanation:
Nutanix documentation specifically identifies deduplication as providing the greatest benefit for common data sets, and it explicitly calls out full-clone VDI workloads as one of the strongest matches. In a full-clone desktop environment, many virtual desktops contain highly similar operating-system files, application binaries, and repeated data blocks. Capacity deduplication is designed to eliminate those repeated blocks and therefore reduce the total physical storage consumed by the environment. This is exactly why Nutanix recommends deduplication for such use cases.
The other answers are less targeted. Thin provisioning is useful generally but is not the signature optimization for repeated-content VDI storage. Erasure coding is powerful for write-cold data and capacity efficiency, but it is not the primary answer Nutanix recommends for full-clone VDI patterns. "Post-process map reduce" is not the standard storage-efficiency answer expected in this context. For exam purposes, whenever Nutanix asks about full-clone VDI, the important association is with capacity deduplication, because that feature directly exploits the high block similarity across cloned desktops. Therefore B is the correct and most authentic answer.
NEW QUESTION # 112
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