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Nutanix Certified Professional - Multicloud Infrastructure (NCP-MCI v6.10) Sample Questions (Q152-Q157):

NEW QUESTION # 152
An administrator received a request to create a new storage container for persistent desktops.
Which storage optimization setting must the administrator set for the best possible capacity savings?

Answer: D

Explanation:
The Nutanix ECA course covers storage optimization techniques for Nutanix storage containers, particularly for workloads like persistent desktops, which require efficient capacity utilization due to their repetitive data patterns. Persistent desktops typically store user-specific data and configurations, making them ideal candidates for storage optimization techniques like compression, deduplication, or erasure coding. The question asks for the setting that provides thebest possible capacity savings.
Extract from Nutanix Enterprise Cloud Administration (ECA) Course Documents:
Module: Storage Management, Section: Storage Optimization"Erasure Coding provides the highest capacity savings for workloads with large amounts of data, such as persistent desktops. By distributing data and parity across nodes, Erasure Coding reduces storage overhead compared to replication factor (RF) while maintaining fault tolerance." Module: Storage Configuration, Section: Optimization for Virtual Desktops"For persistent desktop workloads, Erasure Coding is recommended to maximize capacity savings. It is more efficient than compression or deduplication alone, as it reduces the storage footprint by encoding data across nodes, making it ideal for environments with high data redundancy." Explanation of Options:
A). Erasure CodingThis is the correct answer. Erasure Coding (EC-X) is a storage optimization technique in Nutanix AOS that distributes data and parity information across nodes, reducing the storage overhead compared to traditional replication factor (RF) settings. For persistent desktops, which often have large datasets with redundant patterns, Erasure Coding provides significant capacity savings by encoding data efficiently while maintaining fault tolerance. The ECA course highlights that Erasure Coding is particularly effective for workloads with cold or less frequently accessed data, which aligns with persistent desktop storage.
Supporting Extract:"Erasure Coding can achieve up to 50% or more capacity savings compared to RF=2 for workloads like virtual desktops, making it the most effective optimization for capacity-constrained environments." B). Inline compression with a delay of 0 minutesThis is incorrect. Inline compression reduces data size in real- time as it is written to storage, but it provides less capacity savings compared to Erasure Coding for persistent desktops. Compression is effective for reducing the size of compressible data, but persistent desktops often benefit more from Erasure Coding due to their larger datasets and redundancy. Additionally, a delay of 0 minutes means compression occurs immediately, which may increase write latency without maximizing savings. The ECA course notes:"Inline compression is useful for general workloads but is less effective than Erasure Coding for high-capacity workloads like persistent desktops." C). Inline Deduplication of Read CachesThis is incorrect. Deduplication removes duplicate data blocks, but
"Inline Deduplication of Read Caches" is not a standard Nutanix feature for storage containers. Nutanix supports inline and post-process deduplication, but these apply to data writes, not specifically to read caches.
Even if deduplication were applied, it would provide less capacity savings than Erasure Coding for persistent desktops, as deduplication depends on data similarity, whereas Erasure Coding optimizes storage across all data types. The ECA course states:"Deduplication is effective for workloads with high data similarity, but Erasure Coding provides broader capacity savings for large-scale desktop deployments." D). Post Process DeduplicationThis is incorrect. Post-process deduplication analyzes and removes duplicate data after it is written, which can save capacity but is less efficient than Erasure Coding for persistent desktops. Deduplication requires significant data similarity to achieve savings, and its post-process nature delays optimization, potentially leading to temporary storage overuse. The ECA course clarifies:"Post-process deduplication is suitable for specific workloads, but Erasure Coding is preferred for persistent desktops due to its superior capacity efficiency and immediate applicability across nodes." Additional Context from ECA:
Erasure Coding Details: Erasure Coding works by splitting data into fragments, adding parity information, and distributing these across nodes. For a storage container with persistent desktops, enabling Erasure Coding (e.g., with a stripe width of 4+2) can significantly reduce the storage footprint compared to RF=2 or RF=3.
The ECA course notes:"Erasure Coding is ideal for containers with large datasets, such as VDI environments, where capacity savings are critical." Persistent Desktops: These desktops store user data and configurations, leading to large, redundant datasets.
Erasure Coding's ability to optimize storage across nodes makes it the best choice for capacity savings, as confirmed by the ECA materials.
Supporting Reference from Web Results:
The Nutanix Bible (https://www.nutanix.com/go/the-nutanix-bible) supports the ECA documentation:" Erasure Coding (EC-X) provides the highest capacity efficiency for workloads like persistent desktops, reducing storage overhead by distributing data and parity across nodes, outperforming compression and deduplication in capacity-constrained environments."


NEW QUESTION # 153
Refer to Exhibit:

An administrator is looking at thememory cluster runway diagramas shown in exhibit, in Prism Central. The environment hasthree hostswith the following configuration:
CPU: 2x Intel Xeon Gold (8 cores, 2.6 GHz)
RAM: 256 GB per host
Storage: SSDs and HDDs
TheIntelligent Operations featurehas been active forone month, but no further configurations were applied.
What does the dotted red line mean?

Answer: D


NEW QUESTION # 154
Which predefined view should be leveraged in Prism Central Intelligent Operations to determine which VM is consuming too many resources and causing other VMs to starve?

Answer: A

Explanation:
TheBully VMs Listview in Prism Central'sIntelligent Operationsidentifies VMs that are consumingexcessive resources(CPU, memory, or storage IO) and causing resource starvation for other VMs.
From theNutanix ECA documentation:
"Bully VMs List identifies virtual machines with high resource consumption, enabling administrators to investigate and take action to prevent performance degradation in other VMs." The other options:
* A (Constrained VMs): Shows VMs that are being starved of resources.
* C (Inactive VMs): Shows VMs that are using little to no resources.
* D (Overprovisioned VMs): Shows VMs with allocated resources beyond actual usage.


NEW QUESTION # 155
An administrator needs to apply a firmware upgrade to a host and wants to manually migrate VMs before executing an LCM upgrade. All VMs but one are able to be live migrated.
Which action would fix the issue?

Answer: D

Explanation:
Within Nutanix VM classification, Agent VMs are special-purpose system VMs designated for infrastructure tasks. The internal definition states:
"Agent VMs are not live-migratable and do not participate in high-availability evacuation; they are excluded from standard host maintenance operations." If a VM is mistakenly marked as an Agent VM, the hypervisor will block all migration attempts. Disabling the Agent VM flag returns the VM to standard workload treatment, making it eligible for live migration.
Updating LLDP has no relevance to VM migration. Backplane port groups affect CVM networking only.
ADS influences workload placement but not migration eligibility.
Therefore, removing the Agent VM designation is required to allow migration.


NEW QUESTION # 156
A consultant is configuringsyslog monitoringand wants to receiveCRITICAL logsfrom theAudit module.
Which severity level setting should be configured to get the desired output?

Answer: D

Explanation:
Syslog severity levels follow a standard numerical system, wherelower numbers indicate higher severity.
* Option B (Severity Level 2) is correct:
* Level 2 = CRITICAL# Used forserious conditions requiring immediate attention.
* Audit logs often generate Critical logsrelated tosecurity, access violations, or major failures.
A screenshot of a computer Description automatically generated

* Options A (0), C (5), and D (7) are incorrect:
* 0 = Emergency (Too severe, only used for full system failures).
* 5 = Notice (Not critical, used for general system events).
* 7 = Debug (Not relevant for critical logs).
References:
Nutanix Security Guide#Syslog Integration and Severity Levels
Nutanix KB#Configuring Syslog for Prism Central Audit Logs


NEW QUESTION # 157
......

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