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| Section | Objectives |
|---|---|
| Data Protection and Availability | - Backup, replication, and disaster recovery
|
| Storage Management and Operations | - Storage provisioning and lifecycle management
|
| HPE Storage Portfolio Overview | - HPE storage product families and positioning
|
| Storage Architecture and Design | - Core storage architecture concepts
|
| SAN and Connectivity Technologies | - Fibre Channel and iSCSI networking
|
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NEW QUESTION # 47
A customer wants an HPE Private Cloud Business Edition solution that is co-located.
When an HPE Partner is using the HPE Ninja Online Private Cloud Business Edition Sizer tool, which company is listed for colocation support?
Answer: D
Explanation:
Equinix is the colocation provider identified in the HPE Private Cloud Business Edition offering and associated Ninja Online sizing scenario. HPE Private Cloud Business Edition at Equinix combines supported HPE compute, storage, networking and private cloud management with a colocation operating model. Instead of requiring customers to install all infrastructure in their own premises, the offering uses dedicated Equinix facility resources, including rack space, power, cooling, physical security and connectivity. HPE QuickSpecs describe preconfigured Smart Templates and integrated commercial processes that simplify quoting, deployment and billing for this route to market. It is suited to customers seeking private cloud control without the operational burden of owning a data center facility. Iron Mountain and CoreSite operate colocation services in other contexts but are not the specific provider named for this HPE PCBE option. Architects should verify site availability, network access, sovereignty requirements, support responsibility and commercial contract coverage before proposing a colocated private cloud deployment.
Study Guide Reference: HPE Private Cloud Business Edition at Equinix, Smart Templates and colocation.
Official reference(s): PCBE QuickSpecs
NEW QUESTION # 48
A Customer Success Manager is reviewing a Data Ops Manager dashboard with a client. The client is confused because the dashboard shows a massive discrepancy between two capacity metrics on their HPE Alletra array.
[Data Ops Manager - Capacity Overview]
Total Logical Space Provisioned: 150 TB
Total Physical Space Consumed: 25 TB
The client asks: "If I have provisioned 150 TB of volumes to my VMware hosts, how is it physically possible that the array only shows 25 TB of actual disk space being used?" Which core architectural feature of modern HPE storage arrays natively creates this mathematical discrepancy, and how should the Customer Success Manager explain it?
Answer: C
NEW QUESTION # 49
A customer recently purchased multiple HPE StoreOnce appliances. They are experiencing slower performance than expected when performing backups to the new solution.
What should the customer do to improve performance?
Answer: B
Explanation:
Running multiple HPE StoreOnce backup jobs or streams in parallel generally increases aggregate ingest throughput compared with processing a single sequential data stream. StoreOnce appliances are designed for concurrent backup operations across supported Catalyst, VTL, and NAS configurations. A lone stream may fail to utilize available CPU, disk and network resources even when the appliance appears underperforming.
Dividing large backup workloads into multiple sessions or scheduling appropriate concurrent jobs helps use those resources more effectively. The number of sessions must remain within product limits, however; too much parallelism creates contention and can reduce throughput. Validating deduplication settings is worthwhile but not the direct optimization asked about. Matching unrelated allocation sizes is not a standard blanket fix, and spreading every backup protocol into entirely separate time windows may sacrifice available concurrency. A structured performance assessment should compare source-server throughput, target session counts, network saturation and StoreOnce resource utilization. The recommended general tuning action is to increase parallel backup activity in a controlled way.
Study Guide Reference: StoreOnce ingest performance, concurrent backup streams and throughput optimization.
Official reference(s): StoreOnce QuickSpecs
NEW QUESTION # 50
An HPE Partner is creating an HPE Morpheus VM Essentials solution for a customer.
The solution has:
- 20 HPE ProLiant DL380 servers with dual processors
- 10 HPE ProLiant 325 servers with single processors
- 2 HPE Alletra 5000 storage arrays, each with two controllers
The customer does not expect to exceed 500 VMs in this solution.
Based on this information, how many subscription licenses should the HPE Partner plan for?
Answer: C
Explanation:
HPE Morpheus VM Essentials licensing in this scenario is calculated from licensed physical processor sockets on participating virtualization servers. Twenty dual-processor ProLiant DL380 hosts require 40 socket subscriptions, and ten single-processor ProLiant DL325 hosts require 10. The total is therefore (20 x 2) + (10 x 1) = 50 subscriptions. The two Alletra 5000 arrays contribute storage controller processors but not hypervisor-host CPU sockets, so they are excluded. The projected count of fewer than 500 VMs is likewise not the basis for the specified socket calculation. This distinguishes the infrastructure metric used by the license agreement from workload inventory metrics used for capacity planning. Architects should always record actual installed socket population, host role, cluster membership, edition, and term of the current contract, since licensing policies may change by release or commercial packaging. The examination arithmetic is unambiguous, but an executable quote should still use current HPE Morpheus Software QuickSpecs and the applicable subscription entitlement documents.
Study Guide Reference: HPE Morpheus VM Essentials CPU socket licensing and hypervisor inventory.
Official reference(s): PCBE QuickSpecs
NEW QUESTION # 51
A Storage Administrator is troubleshooting intermittent performance degradation on a unified storage array that was recently deployed to consolidate the company's infrastructure.
[Unified Array - Peak Telemetry (10:00 AM - 11:00 AM)]
Global Controller CPU: 96%
Protocol Split: 60% File (SMB/NFS) / 40% Block (Fibre Channel)
Block Workload (SQL Server): Read Latency spiking to 18ms
File Workload (User Shares): Heavy sequential metadata scanning active
Backend Disk Utilization: 35%
Which TWO conclusions accurately diagnose the root cause of this performance bottleneck on the unified platform? (Choose 2.)
Answer: A,B
NEW QUESTION # 52
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