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| Section | Objectives |
|---|---|
| Topic 1: Storage Architecture and Design | - Core storage architecture concepts
|
| Topic 2: Data Protection and Availability | - Backup, replication, and disaster recovery
|
| Topic 3: HPE Storage Portfolio Overview | - HPE storage product families and positioning
|
| Topic 4: Storage Management and Operations | - Storage provisioning and lifecycle management
|
| Topic 5: SAN and Connectivity Technologies | - Fibre Channel and iSCSI networking
|
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NEW QUESTION # 10
An Infrastructure Capacity Planner is analyzing the capacity forecast dashboard for a heavily utilized HPE Alletra Storage MP array via Data Ops Manager.
[Data Ops Manager - Capacity Forecast Dashboard]
Volume Group: VMFS_DevTest_Clones
Logical Capacity Limit: 100 TB
Logical Consumed: 95 TB (95% Full)
Physical Capacity Consumed: 15 TB
Current Data Reduction Ratio: 6.3:1
Predicted Time to Physical Exhaustion: > 24 Months
Predicted Time to Logical Exhaustion: 5 Days
Which immediate, zero-cost operational action must the planner take based on this dashboard analysis to prevent an application outage?
Answer: B
NEW QUESTION # 11
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: D
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 # 12
A customer is evaluating HPE GreenLake for File Storage for an AI training platform.
Application Requirements:
Linux compute cluster
15 PB of unstructured training data
POSIX compliance
Multi-GB/s throughput per node
Minimal application modifications
Which THREE architectural statements are accurate? (Choose 3.)
Answer: C,D,E
NEW QUESTION # 13
A Storage Administrator is troubleshooting a performance issue on an HPE Alletra array. A specific Linux database server is generating massive I/O, causing latency across the array.
The administrator pulls the performance telemetry log.
[Alletra Performance Telemetry - Node 0]
Volume Name: DB_Prod_Vol
Host Protocol: NVMe/TCP
Read IOPS: 120,000
Write IOPS: 80,000
Average Latency: 0.8ms
Backend NVMe SSD Utilization: 45%
Controller CPU Utilization: 92% (Saturated)
Despite the backend flash drives being underutilized, the array controller's CPU is saturated.
Which inherent architectural characteristic of the NVMe/TCP protocol is the primary contributor to this specific controller CPU bottleneck, compared to FC-NVMe or RoCEv2?
Answer: D
NEW QUESTION # 14
Without any 25 GbE connection requirements, what is the maximum number of front-end 100 GbE connections supported from an HPE Alletra Storage MP B10000 controller node to the front-end network switches?
Answer: A
Explanation:
HPE Alletra Storage MP B10000 QuickSpecs identify up to two front-end 100 GbE iSCSI or NVMe/TCP ports per supported controller node, with the precise capability determined by model, adapter selection, ArcusOS release, and age of the configuration. Host-facing Ethernet connectivity must be distinguished from the redundant high-speed backend links used for JBOF access and controller/storage interconnection. A front- end port connects an array to the customer ' s host-storage network, while an expansion port belongs to the internal storage fabric. HPE ' s published B10000 specification does not support the four front-end 100 GbE connections claimed by the uploaded answer key. Four front-end 100 GbE ports may be associated with different HPE storage platforms, including X10000 configurations, but that must not be transferred to the B10000 specification. The question therefore illustrates the need to read product-specific QuickSpecs rather than infer port quantities from adapter speed or the number of visible physical connectors. Under the cited B10000 specification, D is supported.
Study Guide Reference: Alletra MP B10000 front-end 100GbE HBA port limits and QuickSpecs.
Official reference(s): B10000 QuickSpecs
NEW QUESTION # 15
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