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| Section | Objectives |
|---|---|
| HPE Storage Portfolio | - Use cases and positioning of HPE storage solutions - HPE storage product families overview |
| Troubleshooting and Maintenance | - Monitoring and performance optimization - Common storage issues and diagnostics |
| Storage Fundamentals | - Block, file, and object storage basics - Storage architectures and concepts |
| Data Protection and Backup | - High availability and disaster recovery concepts - Backup and replication strategies |
| SAN and Networked Storage | - Zoning, LUN mapping, and multipathing - Fibre Channel and iSCSI concepts |
| Storage Integration and Configuration | - Configuration of storage connectivity (SAN/NAS) - Storage deployment and integration with servers |
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NEW QUESTION # 21 
You are analyzing a customer environment with two Alletra 6000 arrays in a VMware stretched cluster.
Application latency differs slightly depending on whether the VM is on Datastore01 or Datastore02.
Question: Based on this scenario, what would you recommend to equalize latency for the workload?
Answer: D
NEW QUESTION # 22
The storage solution based on the exhibit is deployed at a customer site.
How can the sequential read performance be enhanced with this setup?
Answer: A
Explanation:
The exhibit shows an Alletra MP configuration delivering ~4.6 GB/s (256 KB sequential read) with four 10 Gb host ports. That throughput is close to the aggregate front-end bandwidth ceiling of
4?0 GbE (5 GB/s raw, less with protocol overhead). For large-block sequential workloads, the front-end link budget is often the bottleneck; adding additional 10 GbE ports (or moving to higher- speed links) increases available host bandwidth and raises sustained sequential read throughput.
This aligns with HPE sizing guidance: scale host connectivity to meet sequential throughput targets before adding media.
NEW QUESTION # 23
An administrator needs to verify compatibility between HPE storage firmware and VMware ESXi versions before deployment.
Which resource should be consulted?
Answer: C
Explanation:
The HPE interoperability and support matrix validates compatibility between storage firmware, hypervisors, drivers, and management tools. Consulting official documentation reduces deployment risks and prevents unsupported configurations.
NEW QUESTION # 24
You are working with a customer to upgrade their current VMware infrastructure. The hardware is outdated, and the customer has no information about performance requirements for the new servers and storage array.
You are using HPE CloudPhysics to run an assessment.
Which Card Deck will give you insights on the under- and overprovisioning of the current environment?
Answer: A
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
The Simulator for VM Rightsizing Card Deck in HPE CloudPhysics evaluates actual VM utilization against provisioned resources. It identifies under- and overprovisioned VMs, providing insights into reclaimable resources and accurate sizing recommendations. This directly helps plan server and storage upgrades.
Distractors:
A: Storage Space Management focuses on datastore usage trends, not provisioning mismatches.
B: Reclaimable VMware vDisk Space identifies unused storage, not CPU/RAM sizing.
D: Infrastructure Planning helps plan new builds but doesn't directly analyze current over/under provisioning.
Key Concept: VM Rightsizing = CloudPhysics tool for over/under provisioning analysis.
Reference: HPE CloudPhysics Card Decks Guide.
NEW QUESTION # 25
Which statement is true regarding HPE's SAP HANA solutions?
Answer: D
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
HPE is one of the leading infrastructure providers for SAP HANA, with ~40% of global SAP HANA deployments running on HPE platforms (ProLiant, Alletra, Nimble/Primera for storage). This is an official HPE statistic repeatedly cited in white papers and customer references.
Distractors:
A: SAP HANA licensing is provided directly by SAP, not custom-issued by HPE.
B: Licensing costs are tied to SAP metrics (memory size), not Alletra storage type.
C: "77% prefer" is a marketing exaggeration and not the accurate documented figure.
Key Concept: HPE's strong positioning in SAP HANA infrastructure market share.
Reference: HPE SAP HANA Solutions Overview, HPE Global SAP HANA Customer Reference Sheet.
NEW QUESTION # 26
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