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| Section | Objectives |
|---|---|
| Topic 1: Cluster Operations and Lifecycle Management | - Capacity planning and optimization - Upgrades and lifecycle management - Health monitoring and troubleshooting |
| Topic 2: Networking and Security | - Network configuration in AHV - Virtual networking concepts - Microsegmentation and security policies |
| Topic 3: Nutanix Architecture and Core Concepts | - Hyperconverged Infrastructure (HCI) principles - Cluster design fundamentals - Nutanix AOS components and architecture |
| Topic 4: Virtualization and AHV | - Image service and VM deployment - AHV architecture and features - VM lifecycle management |
| Topic 5: Prism Administration and Management | - Monitoring and alerts - Prism Element and Prism Central - Reporting and analytics |
| Topic 6: Storage and Data Services | - Data resiliency and replication - Storage containers and policies - Snapshots and backups |
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NEW QUESTION # 104
An administrator manages a shared AHV environment where Dev workloads must not exceed 2,000 IOPS per VM during business hours to prevent noisy-neighbor impact on Prod.
The administrator already uses categories to group VMs (for example, category Env=Dev) and wants a scalable approach that applies consistent throttling to all current and future Dev VMs without configuring each VM individually.
Which approach best meets the requirement?
Answer: C
Explanation:
Nutanix documents Storage QoS as the correct mechanism to throttle VM I/O and prevent noisy-neighbor behavior. Nutanix also documents that storage policies in Prism Central apply to Categories, and that QoS settings such as throttled IOPS can be defined in the storage policy itself. That means the administrator can create one policy, set the IOPS cap, and apply it to the category assigned to Dev VMs. Current and future VMs with that category then inherit the same behavior without one-by-one configuration. That is exactly the scalable model described in option B.
The other options do not meet the requirement as cleanly. Replication factor affects resilience, not IOPS governance. Cloning one VM's QoS is not a robust policy framework for future operations, especially when category-based automation already exists. Compression changes storage efficiency and sometimes performance characteristics, but it does not function as an enforceable per-VM IOPS cap. Because Nutanix explicitly ties QoS throttling to storage policies and category-based assignment, B is the documented and most maintainable answer.
NEW QUESTION # 105
An administrator would like to upgrade LCM (Life Cycle Management) to the latest version on an AHV cluster. Which step should the administrator take to guarantee LCM is upgraded to the latest version?
Answer: A
Explanation:
Nutanix documentation states that when you perform an LCM inventory, Life Cycle Manager first checks and updates its own framework before presenting other upgrade options. Nutanix's guidance for framework updates and recommended upgrade order repeatedly references Perform Inventory as the step that ensures the system discovers and updates the LCM framework itself. That is why A is the correct answer when the goal is specifically to guarantee LCM is upgraded to the latest version. ( Nutanix ) The other actions may be valid parts of broader maintenance, but they do not ensure the LCM framework itself is brought to the latest version. Upgrading AHV or AOS addresses platform components, not the LCM service logic. Running NCC is good pre-upgrade hygiene, but it is not the mechanism that causes LCM to update. Nutanix intentionally ties framework currency to the inventory process, so the correct operational answer is to perform an inventory first. ( Nutanix )
NEW QUESTION # 106
An administrator is configuring Runway Analysis settings in Prism Central and selects Auto Detect under Reserve Capacity For Failure.
How will runway capacity be calculated in this configuration?
Answer: D
Explanation:
Nutanix documentation for Updating Capacity Configurations explains that the Reserve Capacity For Failure option determines whether runway analysis should account for the impact of a node failure, and when Auto Detect is selected, Prism Central automatically uses the cluster's failure assumptions rather than the full unconstrained cluster total. In practical runway terms, that means the calculation reflects the loss of the node whose failure would have the greatest effect on usable capacity. Among the provided options, the best match for that documented logic is D: the runway analysis excludes the resources of the largest node so estimates account for a node failure. ( Nutanix Portal ) This behavior is important because runway is intended to answer "how long until I run out of safe usable capacity," not just "how long until all raw resources are consumed." Nutanix therefore lets administrators model capacity while preserving headroom for failure scenarios. The fixed 10% answer is too generic and not how Nutanix documents the option. Storage-only reservation also misses the fact that runway tracks CPU, memory, and storage dimensions. So, based on Nutanix's Auto Detect wording and the resilience-oriented design of runway planning, D is the most authentic answer. ( Nutanix Portal )
NEW QUESTION # 107
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: C
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 # 108
A company needs to comply with a new company policy requiring the use of an external, cloud based, recovery point location. To accomplish this task, an administrator needs to strengthen the Disaster Recovery configurations.
What is the most cost-efficient option?
Answer: B
Explanation:
Nutanix documentation describes Multicloud Snapshot Technology (MST/NMST) as a way to replicate native Nutanix snapshots directly to cloud object storage such as AWS S3 or Azure Blob, and specifically positions it as a cost-effective disaster recovery and data mobility approach. Nutanix best-practice content also says MST is especially suitable when an organization does not want to maintain a full secondary DR site and is looking for a low-cost recovery-point location in the cloud. That aligns exactly with the requirement in this question. ( portal.nutanix.com , portal.nutanix.com , portal.nutanix.com ) Adding an NC2 recovery location or full DRaaS design can be valid but usually carries more infrastructure cost than simply replicating snapshots to object storage. A custom runbook to clone recovery points to S3 is not the native Nutanix DR method being tested. So for an external cloud-based recovery point location with cost efficiency as the deciding factor, A is the authentic answer.
NEW QUESTION # 109
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