Nutanix NCP-MCI-7.5 Dumps Questions Answers

This question is about CPU feature compatibility, not storage or networking uniformity. Nutanix documentation and KB guidance explain that VM migration can fail when clusters contain nodes with different CPU generations or different exposed CPU features. A VM that is already running with features negotiated on a newer-generation CPU may not live-migrate successfully to an older or feature-different node until it is power-cycled or configured with advanced processor compatibility. That makes C the correct answer. ( portal.nutanix.com , portal.nutanix.com , portal.nutanix.com )

The important subtlety is that “same core count, memory, storage, subnet, and software version” does not guarantee CPU-feature equivalency. Firmware or ADS activity is not the primary issue described. Affinity rules can restrict placement, but the classic symptom after mixing repurposed nodes is CPU compatibility. Nutanix also documents that advanced processor compatibility settings persist across migrations and power cycles, reinforcing that CPU exposure is the real gating factor here.

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 )

This workload stores MP4 video files, which are typically large, sequential, and already compressed. For data with those characteristics, additional compression work often provides little benefit and can create unnecessary processing overhead. The best optimization is to disable compression for that workload through a storage policy so cluster resources are not wasted trying to compress data that is unlikely to shrink meaningfully. ( Nutanix Portal )

The other choices are weaker for this scenario. Capacity deduplication is generally most beneficial for repeated blocks or common-image patterns, not unique media streams. Erasure Coding is a capacity-efficiency feature, but on a small 3-node cluster and for a write-heavy recording pattern, it is not the primary performance optimization answer. Moving the data to Files changes the access method, but it does not address the specific inefficiency already identified in the storage settings. Nutanix exams often test whether the administrator can match the data service to the workload profile. Since MP4 content is already compressed, removing unnecessary compression overhead is the most targeted and sensible answer, making D correct. ( Nutanix Portal )