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| Section | Weight | Objectives |
|---|---|---|
| Architecting HPE Storage Solutions | 35% | - Design block, file, and object storage solutions - Design HPE Nimble Storage solutions - Design HPEPrimera and HPE 3PAR StoreServ solutions - Design HPE Cloud Bank target solutions - Design HPE StoreOnce solutions for backup and recovery |
| Troubleshooting HPE Storage Solutions | 15% | - Perform health checks and diagnostics - Resolve data protection and replication issues - Troubleshoot performance bottlenecks - Diagnose storage connectivity issues |
| HPE Storage Solutions Integration | 30% | - Implement data protection and disaster recovery - Integrate HPE Primera and HPE 3PAR with SAN infrastructure - Integrate with cloud providers (AWS, Azure, GCP) - Integrate HPE StoreOnce with backup software - Integrate HPE Nimble Storage with network environments |
| HPE Storage Solutions Management | 20% | - Configure quality of service (QoS) - Manage and monitor storage infrastructure using HPE tools - Perform capacity planning and reporting - Implement performance optimization strategies |
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NEW QUESTION # 66
A customer needs block storage for SAP HANA requiring certified performance and high availability. Which HPE platform is most suitable?
Answer: A
NEW QUESTION # 67
A customer has a variety of HPE Alletra arrays running various VM workloads managed by VMware vCenter. These arrays are managed with HPE GreenLake. The customer is concerned they are not getting the best efficiency from the HPE storage arrays. You access CloudPhysics in GreenLake to get an overall view of the hosts and VMs that have the biggest impact on the customer's current environment. Which card should you first examine to see this information?
Answer: D
Explanation:
HPE CloudPhysics is a SaaS-based analytics platform integrated into the HPE GreenLake Data Services Cloud Console (DSCC) that provides deep insights into virtualized infrastructure. It uses a visual metaphor called "cards" to present focused analytics for specific use cases.
When a customer is concerned about storage efficiency and the overall impact of VM workloads, the Simulator for VM Rightsizing (also known as the VM Rightsizing Simulator) is the primary tool for analysis. This card specifically identifies inefficiencies such as over-provisioned or "oversized" virtual machines. By analyzing the actual resource utilization (CPU, memory, and I/O) versus the allocated capacity, the rightsizing simulator can highlight which VMs are consuming excessive resources without operational need.
Reviewing this card first is critical because storage efficiency is often compromised by "virtual sprawl" and bloated VM templates that waste disk space and IOPS on the backend HPE Alletra arrays. While the Shared Storage Analysis card (Option C) provides visibility into datastore contention and performance, the Simulator for VM Rightsizing provides the most direct answer to "efficiency" concerns by identifying the exact VMs that can be trimmed down to reclaim stranded capacity. Correcting VM sizing at the hypervisor level is often the most effective first step in optimizing the performance and capacity return on investment of the underlying storage hardware.
NEW QUESTION # 68
A company is going to upgrade a SAP HANA solution. The company is looking for competitive bids, and only SAP HANA hardware that is certified should be included in a bid. When building the bid, what must you first determine before you can right-size the solution with the appropriate HPE hardware?
Answer: B
Explanation:
Sizing a storage solution for SAP HANA is fundamentally different from sizing general-purpose virtualization workloads. SAP HANA is an in-memory database, but it has extremely strict requirements for the underlying persistent storage layer to ensure data integrity during savepoints and log writes. SAP enforces these requirements through the SAP HANA Tailored Data Center Integration (TDI) program. To begin the sizing process and ensure the solution will pass the SAP Hardware Configuration Check Tool (HWCCT) or the newer SAP HANA System Check, a storage architect must first determine the required IOPS rate, specifically for the /hana/data and /hana/log volumes. SAP provides specific KPIs for latency and throughput that must be met. For instance, the log volume requires extremely low-latency writes to handle the sequential redo logs, while the data volume requires high-throughput (MB/s) and specific IOPS to handle asynchronous savepoints.
NEW QUESTION # 69
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.
Answer:
Explanation:
NEW QUESTION # 70
A customer has a pair of HPE Alletra MP B10000 storage arrays with Peer Persistence configured between them. The customer will be adding Veeam to the solution for data protection. Which statement is correct regarding Peer Persistence orchestration and the snapshots taken by Veeam?
Answer: B
Explanation:
HPE Peer Persistence is a high-availability solution that provides synchronous replication with transparent failover between two storage arrays. When integrating Veeam Backup & Replication with an HPE Alletra MP B10000 (Block) environment using Peer Persistence, the software must account for the synchronous nature of the volumes.
To maintain the integrity of the synchronous replication state and ensure that a crash-consistent or application- consistent recovery point exists at both locations, Veeam utilizes the HPE Storage Snapshot Provider.
When a backup job or a snapshot-only job is triggered for a volume in a Peer Persistence relationship, the orchestration logic ensures that the snapshot is created on both the primary and the secondary array. This
"dual-snapshot" approach is critical; if a site failover occurs shortly after the snapshot is taken, the backup software can still perform a recovery from the secondary array because the corresponding snapshot exists there.
Furthermore, this integration allows for Backup from Storage Snapshots (BfSS), which reduces the impact on the production virtual environment by offloading the I/O processing to the storage layer. While Option A suggests the primary array is always the source, Veeam can actually be configured to back up from the secondary array to save primary site bandwidth (though the snapshot itself must exist on both). Option B is incorrect as snapshot retention is defined by the Veeam backup policy, not a hardcoded 30-minute limit.
Option D is incorrect because the synchronous link handles the data flow naturally; the snapshot is a pointer- based operation within each array's metadata layer once the synchronous write is acknowledged.
NEW QUESTION # 71
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