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| Section | Weight | Objectives |
|---|---|---|
| HPE Storage Solutions Integration | 30% | - Implement data protection and disaster recovery - Integrate HPE StoreOnce with backup software - Integrate HPE Nimble Storage with network environments - Integrate with cloud providers (AWS, Azure, GCP) - Integrate HPE Primera and HPE 3PAR with SAN infrastructure |
| Architecting HPE Storage Solutions | 35% | - Design HPE Nimble Storage solutions - Design HPE StoreOnce solutions for backup and recovery - Design block, file, and object storage solutions - Design HPEPrimera and HPE 3PAR StoreServ solutions - Design HPE Cloud Bank target solutions |
| Troubleshooting HPE Storage Solutions | 15% | - Troubleshoot performance bottlenecks - Diagnose storage connectivity issues - Resolve data protection and replication issues - Perform health checks and diagnostics |
| HPE Storage Solutions Management | 20% | - Manage and monitor storage infrastructure using HPE tools - Implement performance optimization strategies - Configure quality of service (QoS) - Perform capacity planning and reporting |
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質問 # 63
An HPE Partner is sizing an Alletra MP B10000 array for a customer using the HPE Ninja Sizer online tool.
When tuning the solution, the partner is not getting the best read and write performance from the array.
Use your cursor to place a + where the partner can click in the web GUI to begin to determine how to correct this Issue and appropriately size the solution for the customer.
正解：
解説：
Explanation:
Performance Estimation
The HPE Ninja Sizer is a vital tool for storage architects to model the "Performance vs. Capacity" trade-offs of the HPE Alletra MP B10000 disaggregated architecture. In this scenario, the current configuration (as shown in the exhibit) consists of 4 nodes and 1 JBOF (with 8 drives of 15.36TB each).
To address poor read/write performance in Ninja Sizer, the partner must analyze the Performance Estimation pane. By clicking the chart/graph icon in the bottom right of the summary dashboard, the tool opens a detailed breakdown of the IOPS, throughput, and latency limits for the selected hardware. In a disaggregated shared-everything (DASE) architecture like the Alletra MP, performance is a direct function of the "node-to- drive" ratio. A configuration with only 8 drives (as seen in image_6491d0.png) may be "disk-bound," meaning the controllers have more compute power than the backend drive count can support in parallel.
By accessing the performance details, the partner can see if the bottleneck is at the node level (CPU/Cores) or the drive level (Flash bandwidth). To "correct this issue" and optimize the sizing, the partner would typically need to increase the drive count within the JBOF to allow for more parallel I/O streams or add additional JBOFs to scale the backend bandwidth. The Ninja Sizer provides real-time feedback; as the partner adds more
15.36TB drives, they will see the Performance Estimation bars move from yellow/red toward green, indicating an appropriately balanced solution that meets the customer's latency and throughput SLAs.
質問 # 64
An administrator needs to create an FCIP trunk connection between two data centers to interconnect their Brocade fibre data fabrics. Refer to the exhibit.
Based on this configuration, which statement is correct?
正解：B
解説：
In a Brocade FCIP (Fibre Channel over IP) environment, an extension trunk (or tunnel) can be composed of multiple circuits to provide both increased bandwidth and high availability. The operational state of these circuits-whether they are active or standby-is determined by the Metric assigned to each individual circuit.
According to the Brocade Fabric OS Extension Configuration Guide, all circuits within a tunnel or trunk have a metric of either 0 or 1.
* Metric 0: This is the default value and indicates an active circuit. If multiple circuits are configured with Metric 0, they will operate in an active-active mode, and the load will be balanced across them.
* Metric 1: This indicates a standby (or passive) circuit. Standby circuits with Metric 1 are not used for data transmission unless all Metric 0 circuits within that tunnel/failover group fail.
In the provided exhibit, there is a single VE_Port (Virtual E_Port) trunking three individual IP circuits:
* ge0 is configured with Metric 0 (Active).
* ge1 is configured with Metric 0 (Active).
* ge2 is configured with Metric 1 (Standby).
Therefore, this is a valid configuration where the system will utilize the two Metric 0 circuits (ge0 and ge1) simultaneously for data traffic, providing an active-active load-balanced connection. The third circuit (ge2) will remain in a standby state, only becoming active to maintain the link if both primary circuits go offline.
Options A and B are incorrect because trunks do not require an even number of circuits, and FCIP trunks are specifically established over Ethernet (ge) ports, not native Fibre Channel ports.
質問 # 65
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?
正解：B
解説：
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.
質問 # 66
An HPE Partner is creating a proposal for an HPE customer that involves HPE Morpheus Enterprise. What does the partner need to determine to configure the correct number of Morpheus licenses in Online Config Advanced (OCA)?
正解：A
解説：
HPE Morpheus Enterprise is a comprehensive multi-cloud management and orchestration platform that enables self-service provisioning and lifecycle management across private and public clouds. To accurately size and quote a Morpheus solution in tools like HPE Online Config Advanced (OCA), the primary licensing metric is the Workload Element (WLE), also frequently referred to as a Workload Element (WE) in some documentation.
A Workload Element is defined as a granular unit of compute directly associated with an application service that is being managed or inventoried by Morpheus. This includes:
* Virtual Machines (VMs) on-premises (e.g., VMware vCenter, Hyper-V).
* Instances in the public cloud (e.g., AWS EC2, Azure VMs, Google Cloud instances).
* Bare metal servers if they are provisioned to run application services.
* Container deployments (such as Kubernetes pods).
Importantly, Morpheus does not count supporting infrastructure like storage arrays, load balancers, or physical hypervisor hosts (e.g., the physical server running ESXi) as Workload Elements. Licensing is typically based on a concurrent model, meaning the customer must license the total number of WLEs under management at any given time, regardless of whether they are located on-prem or in a public cloud.
Therefore, the partner must calculate the aggregate sum of all VMs and cloud instances the customer intends to manage to ensure the license quantity in OCA is correct.
質問 # 67
Drag and Drop Question
An administrator needs to cable a new HPE AlIetra MP B10000. Match the number in the graphic below with its description. Not every answer will be used.
正解：
解説：
質問 # 68
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HPE7-J01模擬解説集: https://www.goshiken.com/HP/HPE7-J01-mondaishu.html
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