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| Certification Vendor: | Nutanix |
|---|---|
| Exam Name: | Nutanix Certified Professional - Multicloud Infrastructure (NCP-MCI v6.10) |
| Exam Number: | NCP-MCI-6.10 |
| Real Exam Qty: | 75 |
| Exam Price: | USD 199 |
| Related Certifications: | Nutanix Certified Advanced Professional (NCAP) Nutanix Certified Professional (NCP) |
| Certificate Validity Period: | 3 Years |
| Available Languages: | Japanese, English |
| Exam Format: | Multiple Choice, Multiple Response |
| Exam Duration: | 120 minutes |
| Passing Score: | 3000 (Scale of 1000-6000) |
| Sample Questions: | Nutanix NCP-MCI-6.10 Sample Questions |
| Exam Way: | Online (Proctored) or Test Center (Pearson VUE) |
| Pre Condition: | Nutanix recommends 1-2 years of general IT infrastructure experience and 6-12 months of Nutanix administration experience. Completion of Enterprise Cloud Administration (ECA) course is highly recommended. |
| Official Syllabus URL: | https://www.nutanix.com/support-services/training-certification/certifications/certification-details?cert=NCP-MCI-6-10 |
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NEW QUESTION # 143
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 # 144
What additional step is required for LCM to upgrade an AHV host that has GPUs?
Answer: C
Explanation:
Nutanix Life Cycle Manager (LCM) relies on validated firmware and driver bundles for hardware components. For GPU-enabled hosts, LCM documentation states:
"GPU-enabled AHV hosts require GPU driver bundles to be uploaded manually via the Direct Uploads mechanism so that LCM can validate and upgrade the necessary GPU components during workflow execution." GPU drivers are vendor-specific and not always available in the standard catalog, so the administrator must upload them before LCM can orchestrate the upgrade.
Running in dark site mode does not provide missing GPU bundles. Creating agent VMs is unrelated to GPU driver operations. Updating NCC improves validations but does not provide GPU support files.
Therefore, Direct Uploads of GPU driver bundles is required.
NEW QUESTION # 145
An administrator has configuredAHV Metro Availability with Witnessand is testing failover scenarios.
During testing, the administratordisconnects the primary and recovery clustersbutPrism Central remains connected to the recovery site.
What are two expected system behaviors? (Choose two.)
Answer: B,D
Explanation:
When connectivity between Metro clusters is lost, Nutanix Metro Availability ensures data integrity using Witness for automatic failover.
* Option A (Guest VM I/O operations pause until connectivity is restored) is correct:
* Metro Availability enforces data consistency, so I/O operationspauseuntil failover is confirmed.
* Option C (Guest VMs failover automatically to the recovery cluster) is correct:
* TheWitness VM detects the failureand initiates anautomatic failoverto the secondary cluster.
* Option B is incorrect:
* Prism Centraldoes not control VM failover in Metro Availability.
* Option D is incorrect:
* The primary cluster isunreachable, so VMs cannot continue running there.
References:
* Nutanix Metro Availability Guide#How Witness Handles Failover Scenarios
* Nutanix KB#I/O Freezing and Failover Behavior in Metro Clusters
NEW QUESTION # 146
An administrator has been tasked with developing a Prism Central Recovery Plan for 50 workloads that will be assigned new IP addresses and will need to utilize a new DNS server upon instantiation of workloads in the Disaster Recovery (DR) location.
What is the best way to accomplish this?
Answer: B
Explanation:
For workloads requiring new IP addresses and DNS server settings during DR recovery, using custom scripting within the Recovery Plan is the recommended and supported method.
From theNutanix Enterprise Cloud Administration (ECA)course materials:
"Recovery Plans support scripting within the Recovery Sequence to enable administrators to perform post- recovery customization tasks, such as updating IP addresses, configuring DNS, or applying application- specific settings."
"This scripting capability provides a flexible, automated approach to ensure that VMs are correctly reconfigured to operate within the DR environment's network and DNS settings." This avoids the need for manual reconfiguration post-recovery or adjusting settings in production prior to failover.
NEW QUESTION # 147
Due toapplication requirements, an administrator needs to support amulticast configurationin anAHV cluster.
Which AHV feature can be used to optimize network traffic so that multicast traffic is only forwarded to the VMs that need to receive it?
Answer: B
Explanation:
Multicast traffic can generate unnecessary overhead if it is not properly managed.IGMP Snooping (Option C)ensures thatmulticast packets are only sent to VMs that have requested them, rather than broadcasting to all VMs.
* Option C (IGMP Snooping) is correct:
* Itreduces unnecessary multicast trafficby ensuring that only subscribed VMs receive the packets.
* It is supportednatively in AHV networking.
* Option A (LACP) is incorrect:
* Link Aggregation Control Protocol (LACP)improves bandwidth and redundancy but doesnot control multicast traffic.
* Option B (UDP) is incorrect:
* UDP (User Datagram Protocol) is a transport protocol, not a network optimization feature.
* Option D (Network Segmentation) is incorrect:
* Segmentation (VLANs, VPCs) isolates networksbut does not optimizemulticast traffic specifically.
References:
* Nutanix AHV Networking Guide #Enabling IGMP Snooping
* Nutanix Bible #Network Traffic Optimization in AHV
* Nutanix KB #Best Practices for Multicast Traffic in AHV
NEW QUESTION # 148
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