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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Architecting HPE Storage Solutions | 35% | - Design HPE StoreOnce solutions for backup and recovery - Design HPE Nimble Storage solutions - Design HPEPrimera and HPE 3PAR StoreServ solutions - Design HPE Cloud Bank target solutions - Design block, file, and object storage solutions |
| Topic 2: HPE Storage Solutions Integration | 30% | - Implement data protection and disaster recovery - Integrate HPE StoreOnce with backup software - Integrate with cloud providers (AWS, Azure, GCP) - Integrate HPE Nimble Storage with network environments - Integrate HPE Primera and HPE 3PAR with SAN infrastructure |
| Topic 3: Troubleshooting HPE Storage Solutions | 15% | - Troubleshoot performance bottlenecks - Diagnose storage connectivity issues - Resolve data protection and replication issues - Perform health checks and diagnostics |
| Topic 4: HPE Storage Solutions Management | 20% | - Implement performance optimization strategies - Manage and monitor storage infrastructure using HPE tools - Configure quality of service (QoS) - Perform capacity planning and reporting |
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NEW QUESTION # 76
A company has many applications running on bare metal, as well as on VMs.
Match the data protection software solution with its description. Each answer will be used once.
Answer:
Explanation:
Explanation:
* Cohesity: Provides a backup and recovery solution with NFS, SMB, and S3 features.
* Commvault: Integrates with StoreOnce Catalyst for deduplication of data.
* Zerto: Provides disaster recovery for only VMs.
Enterprise data protection requires selecting the right software partner to align with specific infrastructure needs, whether protecting bare-metal servers, virtualized workloads, or modern unstructured data.
* Cohesity: This solution is defined by its "multicloud data platform" approach. It is often used to consolidate secondary storage silos by providing a single platform that handles not only backup and recovery but also serves as a scale-out NAS. It natively provides NFS, SMB, and S3 features, allowing it to act as a target for unstructured data while simultaneously protecting applications and VMs.
* Commvault: As a long-standing leader in enterprise backup, Commvault features deep, verified integration with HPE hardware. A key differentiator for HPE customers is how Commvault integrates with StoreOnce Catalyst. This integration allows Commvault to manage the movement of deduplicated data directly to StoreOnce appliances without needing to rehydrate the data, significantly reducing network traffic and storage costs across the enterprise.
* Zerto: Unlike traditional backup products that rely on snapshots, Zerto utilizes continuous data protection (CDP) through the hypervisor layer. While it is a powerhouse for replication and orchestration, it is architecturally focused on virtualized environments. Within the context of this comparison, it is the solution that provides disaster recovery for only VMs, as its Virtual Replication Appliances (VRAs) are purpose-built to intercept I/O within VMware or Hyper-V environments.
NEW QUESTION # 77
Refer to the exhibit.
A company is implementing a disaster recovery solution. The Asynchronous Remote Copy feature has been implemented between the HPE AUetra 9000 arrays at both sites. The customer Is interested in providing a disaster recovery (DR) solution that allows for business connectivity of their VMware VMs.
Which VMware solution should the company implement?
Answer: B
Explanation:
To provide automated orchestration and business continuity for VMware virtual machines in a disaster recovery scenario, the industry-standard solution integrated with HPE storage is VMware Live Site Recovery (formerly known as VMware Site Recovery Manager or SRM).
When a customer utilizes Asynchronous Remote Copy on HPE Alletra 9000 arrays, the storage layer handles the data replication between the production and recovery sites. However, the storage array alone cannot automate the re-registration of virtual machines, the mapping of network port groups, or the specific power-on sequencing required for complex applications at the secondary site. VMware Live Site Recovery serves as the orchestration engine that bridges this gap. It works in conjunction with a Storage Replication Adapter (SRA) provided by HPE. The HPE SRA allows the VMware software to communicate directly with the Alletra 9000 arrays to initiate tasks such as promoting recovery volumes to a read-write state, taking temporary snapshots for DR testing, and automating the "failover" and "failback" workflows.
As shown in the exhibit (image_6601ef.jpg), a complete solution requires an SRM appliance and a vCenter appliance at both the production and recovery sites. This architecture ensures that even if the primary site is completely lost, the recovery site has all the necessary metadata and orchestration instructions to bring the business-critical VMs online with minimal manual intervention. Option A (Lifecycle Management) is for patching and updates, Option D (Storage DRS) is for load balancing within a cluster, and Option C refers to operational monitoring rather than disaster recovery orchestration. For a customer already invested in Alletra
9000 Remote Copy, VMware Live Site Recovery is the "Better Together" choice for achieving low Recovery Time Objectives (RTO).
NEW QUESTION # 78
A customer is concerned about the long distances between their data centers and significant latencies that might exist between the SAN fabrics at the two data centers. Since SCSI write operations can involve multiple handshake messages between the target and initiator, which Brocade feature should be used to double the recommended distance, but maintain the same latency as a shorter haul link?
Answer: B
Explanation:
Standard SCSI write operations are inherently sensitive to distance because they require multiple round-trip handshakes before data is actually transmitted. A typical write involves: 1) the Command, 2) a Transfer Ready (XFER_RDY) response from the target, 3) the Data, and 4) the Status. In a long-distance SAN, each of these round trips adds significant "latency wait time," severely degrading performance as distance increases.
To solve this, Brocade (HPE B-series) utilizes a protocol optimization feature known as FastWrite. FastWrite works by creating a Proxy Target (PT) local to the initiator host and a Proxy Initiator (PI) local to the target storage device. When the host issues a SCSI write command, the local Brocade switch (acting as the Proxy Target) immediately sends the XFER_RDY back to the host without waiting for the signal to travel across the long-distance link. This allows the host to send the data segment immediately.
By eliminating the need for every handshake message to traverse the distance multiple times, FastWrite significantly reduces the aggregate latency felt by the application. Architecturally, this enables customers to extend their SAN fabrics over double the distance (and often much further) while maintaining performance comparable to a significantly shorter link. This is critical for asynchronous replication and remote copy applications that issue large I/O blocks. Option C (Write Acceleration) is a generic term often used by other vendors, while FastWrite is the specific, validated Brocade feature name used in HPE Master ASE documentation for this protocol optimization.
NEW QUESTION # 79
Hotspot Question
An administrator wants to build a scale-out solution using two HPE Alletra 6000 storage arrays.
Only the first array has been initialized. Use your cursor to place a + where the administrator can add the second uninitialized array to the first storage array.
Answer:
Explanation:
NEW QUESTION # 80
A customer currently has an HPE Alletra 9000 with data reduction on all volumes and plans to migrate to an HPE Alletra MP B10000. Which formula should be used to size the new solution?
Answer: B
Explanation:
When sizing a migration from a highly efficient array like the HPE Alletra 9000 (or Primera) to the next-generation HPE Alletra MP B10000, storage architects must account for the difference between the "Written Capacity" (what the host thinks it has stored) and the "Consumed Capacity" (the physical space used after data reduction).
The standard best practice for an HPE Master ASE when performing these migrations is to Size to consumption multiplied by 1.25. This "1.25 factor" (representing a 25% overhead) is the recommended safety margin used in sizing tools like HPE NinjaStars and the HPE Cloud Physics assessment reports. This 25% buffer is designed to cover several critical architectural requirements:
System Metadata and Overhead: Both the Alletra 9000 and Alletra MP require physical capacity to store internal metadata, map tables, and the structures required for their respective data reduction engines. Snapshot Reserve: While snapshots are thin and pointer-based, they still consume physical space as data changes over time. The 1.25 multiplier ensures there is enough
"headroom" for typical snapshot retention policies.
Data Reduction Parity: Data reduction ratios (deduplication and compression) can fluctuate based on the specific workload. Sizing exactly to current consumption without a buffer risks an out-of- space condition if the new array's reduction engine handles a specific block pattern slightly differently during the initial ingest.
Operational Performance: SSD-based arrays perform best when they are not "packed" to 100% capacity, as the garbage collection and wear-leveling processes require free blocks to operate efficiently.
NEW QUESTION # 81
......
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