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| Section | Weight | Objectives |
|---|---|---|
| HPE Storage Solutions Integration | 30% | - Integrate HPE Primera and HPE 3PAR with SAN infrastructure - Integrate with cloud providers (AWS, Azure, GCP) - Integrate HPE Nimble Storage with network environments - Implement data protection and disaster recovery - Integrate HPE StoreOnce with backup software |
| Troubleshooting HPE Storage Solutions | 15% | - Diagnose storage connectivity issues - Resolve data protection and replication issues - Perform health checks and diagnostics - Troubleshoot performance bottlenecks |
| Architecting HPE Storage Solutions | 35% | - Design block, file, and object storage solutions - Design HPE Nimble Storage solutions - Design HPE StoreOnce solutions for backup and recovery - Design HPE Cloud Bank target solutions - Design HPEPrimera and HPE 3PAR StoreServ solutions |
| HPE Storage Solutions Management | 20% | - Configure quality of service (QoS) - Manage and monitor storage infrastructure using HPE tools - Implement performance optimization strategies - Perform capacity planning and reporting |
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NEW QUESTION # 19
A customer intentionally removes all three drives from a JBOF from an HPE Alletra MP X10000 used in an HPE GreenLake for File Storage solution. What is the correct description of the result of this action?
Answer: A
Explanation:
The HPE Alletra MP X10000, which powers HPE GreenLake for File Storage, utilizes a disaggregated shared-everything (DASE) architecture based on VAST Data software. Unlike traditional RAID, this architecture uses highly advanced locally decodable erasure coding. While the system is designed to be incredibly resilient--often surviving multiple concurrent drive failures across the cluster--the removal of three drives simultaneously from a single JBOF (Just a Bunch of Flash) chassis can exceed the immediate "vertical" stripe protection thresholds, especially in smaller cluster configurations. In the Alletra MP File architecture, the metadata and data are distributed with specific redundancy parameters. Intentionally pulling three drives at once is treated as a multi-point catastrophic failure rather than a standard drive wear-out event. When such an event occurs, the system enters a "Fail-Stop" state to protect data integrity and prevent file system corruption. Because the system cannot guarantee the consistency of the data stripes or the underlying V-Trees (metadata structures), it will cease I/O services.
NEW QUESTION # 20
A customer is considering purchasing an HPE StoreOnce solution to meet their VMware VM data protection needs. Which two Veeam features, paired with HPE StoreOnce, will validate the restoration of backups and allow the customer to easily create labs for validation testing from backups? (Choose two.)
Answer: D,E
Explanation:
The integration of Veeam Backup & Replication with HPE StoreOnce via the StoreOnce Catalyst protocol offers specialized features that transform static backup data into active assets for testing and verification. To address the specific requirements of validating restores and creating testing environments, Veeam utilizes the SureBackup and DataLabs features. Veeam SureBackup is the primary feature used to validate the recoverability of backups. It automates the process of testing a backup by booting the VM directly from the StoreOnce repository in an isolated environment (Virtual Lab). It performs heartbeats, network tests, and application-specific tests (such as checking if a SQL database responds) to ensure the data is not just present, but functional.
Because HPE StoreOnce Gen4+ systems feature flash-accelerated metadata and improved random read performance, they are "Veeam Ready" to support the I/O requirements of starting VMs for these verification tasks.
Veeam DataLabs (formerly known as Virtual Lab or On-Demand Sandbox) is the broader orchestration framework that allows customers to leverage their backup data for "Labs." By creating a DataLab, an administrator can spin up an isolated copy of the production environment from the StoreOnce backups. This is used for "validation testing," such as testing security patches, verifying application upgrades, or performing "DevOps" tasks without impacting the production systems.
NEW QUESTION # 21
An administrator has implemented automatic switchover (ASO) with Peer Persistence on a pair of HPE Alletra 6000 storage arrays. Which statement is correct regarding the ASO feature?
Answer: B
Explanation:
HPE Peer Persistence for the Alletra 6000 (and Nimble) provides synchronous replication and automatic transparent failover (ATF) using the Automatic Switchover (ASO) feature. This process is governed by a Quorum Witness that monitors the health of both arrays in a group.
A fundamental design principle of HPE high-availability storage is to prevent "flapping"-a condition where a workload repeatedly bounces between two sites due to an unstable connection. Consequently, the ASO process is designed to be unidirectional and sticky. When a primary site failure occurs and the Quorum Witness authorizes an automatic switchover, the secondary array becomes the "Upstream" (active) array and begins serving I/O. Once the original primary site is restored and the replication link is re-established, the arrays will automatically begin a resynchronization to ensure data consistency. However, even after the data is fully synced, the system will not automatically move the workload back to the original array. The administrator must perform a manual handover to return the volume collection to its preferred primary site.
Regarding the other options:
* Option B: If the witness is unreachable, ASO is automatically disabled to prevent a "split-brain" scenario where both arrays might try to become active simultaneously.
* Option C: A single controller failure within an Alletra 6000 does not trigger an ASO. Instead, the array performs an internal controller failover (ALUA) which is transparent to the Peer Persistence relationship.
* Option D: In a synchronous relationship, if the target becomes unavailable, the source array typically transitions to an "Out of Sync" state but continues to serve host I/O in order to maintain application availability, rather than rejecting it.
NEW QUESTION # 22
An HPE Partner is using HPE CloudPhysics to size a new storage solution for a customer that currently has a non-HPE storage array. When looking at the graphs and statistics in CloudPhysics, what is the only summary statistic that has time-correlated values?
Answer: C
Explanation:
HPE CloudPhysics is a SaaS-based analytics platform that collects high-resolution metadata (at
20-second intervals) from a customer's virtualized infrastructure to drive data-led procurement and optimization decisions. In the context of performance analysis and sizing, it is critical to understand not just the average utilization, but how different resource demands interact over time. The Peak Details statistic is unique within the CloudPhysics analytics framework because it provides time-correlated values across different resource dimensions (CPU, RAM, and Disk I/O).
While standard "Storage Metrics" or "Hardware Performance" summaries often present aggregated averages or 95th percentile figures that lose their temporal context, Peak Details allows an architect to see exactly when a spike occurred.
This correlation is essential for determining if a storage bottleneck is being driven by a simultaneous compute peak or if a specific "noisy neighbor" VM is impacting the entire datastore during a backup or batch processing window. By aligning disk latency peaks with IOPS and throughput peaks on the same timeline, CloudPhysics enables the architect to validate if the existing third-party array is truly under-provisioned or simply misconfigured. This time-correlated insight ensures that the new HPE storage solution is sized not just for total capacity, but for the actual performance "burstiness" observed in the customer's production cycle. Other metrics, while useful for high-level summaries, do not provide the granular, synchronized timeline required to perform a deep-dive root cause analysis or precision sizing for mission-critical workloads.
NEW QUESTION # 23
A company with 2484 VMs and 300 servers needs to implement a file, object, and block storage solution. What are the minimum requirements for this solution?
Answer: A
Explanation:
The HPE Alletra MP is a modular, disaggregated storage platform designed to provide different storage personas (Block or File/Object) based on the software stack installed on the controller nodes. However, the minimum hardware "footprint" required to form a functional, supported cluster differs significantly between these personas.
For HPE GreenLake for File Storage (which utilizes the Alletra MP X10000 hardware and provides both File and Object protocols), the architecture is based on a disaggregated shared- everything (DASE) model. According to the HPE Alletra MP Installation and Architecture Guide, the minimum supported configuration for a File/Object cluster is three X10000 controller nodes.
This 3-node minimum is a hard requirement to establish proper quorum and high availability for the V-Tree metadata and the distributed file system logic.
NEW QUESTION # 24
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