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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Planning and Validating Storage Solutions | 20% | - Validate solution against performance, availability and scalability needs - Evaluate customer requirements and environment - Size and design multi-site storage solutions |
| Topic 2: Implementation and Integration | 20% | - Implement data services: replication, snapshots, tiering - Deploy, configure and integrate HPE storage solutions - Integrate with virtualization, cloud and application environments |
| Topic 3: Optimization, Monitoring and Management | 20% | - Use HPE OneView, InfoSight and management tools - Troubleshoot and maintain storage infrastructure - Optimize performance, capacity and efficiency |
| Topic 4: Storage Networking and Transport | 20% | - Multi-site connectivity and data transport technologies - SAN, Fibre Channel, iSCSI and NVMe-oF architectures - High availability and disaster recovery design |
| Topic 5: HPE Storage Portfolio and Positioning | 20% | - Position solutions against competitive offerings - Use HPE tools and resources for solution design - Understand HPE Primera, Alletra, Nimble, StoreOnce and 3PAR products |
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NEW QUESTION # 33
Your organization is implementing a new high-performance computing (HPC) cluster to support advanced scientific simul-ations. The cluster will consist of several hundred nodes that require rapid access to shared datasets. The storage is Vast/GL4F.
The application is very sensitive to latency and minimizing CPU overhead during data transfers is critical to achieving the desired performance levels.
Which access protocol should the organization implement to enhance NFS performance by reducing storage latency and increasing I/O operations?
Answer: A
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
For HPC and AI/ML workloads, NFS over RDMA (Remote Direct Memory Access) provides significantly lower latency and reduced CPU overhead compared to standard NFS over TCP. This allows direct memory-to- memory data transfers between storage and compute nodes, bypassing the kernel network stack. In VAST Data (underpinning GreenLake for File Storage), NFS over RDMA is explicitly supported to accelerate shared dataset access in HPC and AI environments.
Distractors:
A: Standard NFS introduces more latency due to kernel TCP/IP stack overhead.
C: RoCE (RDMA over Converged Ethernet) is a transport layer technology - useful, but the protocol chosen for the file system must be NFS over RDMA, not just RoCE.
D: iSER (iSCSI Extensions for RDMA) enhances iSCSI block storage, not NFS file workloads.
Key Concept: NFS over RDMA for HPC/AI shared datasets.
Reference: HPE GreenLake for File Storage powered by VAST - HPC Deployment Guide, RDMA and NFS performance white papers.
NEW QUESTION # 34
A growing technology company is planning to upgrade its data center infrastructure. Their considerations:
Budget: Predictable monthly payments, no upfront CapEx.
Flexibility: Long-term use, no forced returns.
Ownership: Prefer eventual ownership, spread payments.
Control: Full customization and upgrades.
Which procurement option best meets their needs?
Answer: C
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
A Capital Lease (also known as a finance lease) spreads costs over time like OpEx, while giving the customer the ability to own the equipment at the end of the lease term. This matches the desire for predictable payments, eventual ownership, and full control.
Distractors:
A (Consumption model): GreenLake provides OpEx flexibility but does not lead to ownership.
B (Operating lease): Pure rental; equipment must be returned, no ownership.
C (Capital purchase): Requires large upfront payment, which the customer wants to avoid.
Key Concept: Capital Lease = predictable payments + ownership path.
Reference: HPE Financial Services Procurement Options.
NEW QUESTION # 35
Review the diagram showing an Active Peer Persistence deployment across two arrays.
Question : Which Host Proximity Parameter should be configured for ESX31 to ensure localized access?
Answer: C
NEW QUESTION # 36
Refer to the exhibit.
Your customer had an unexpected failure of their current storage array, causing them to lose some of their critical data. As a result, they are looking for a storage array with a guarantee of 100% data availability to prevent this failure and loss in the future.
They need 80TB raw and two new 25GbE top-of-rack switches to connect to their environment.
They expect 5% annual growth.
Which correction should be made to the configuration in the exhibit to meet the customer's requirements?
Answer: A
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
The exhibit shows the use of 32Gb FC HBAs and 100GbE switches (Aruba 100G). However, the customer specifically requires 25GbE top-of-rack switches. Therefore, the configuration needs to be corrected to
25GbE networking. The HPE Alletra MP B10000 guarantees 100% data availability SLA, so the primary correction is networking alignment, not drives or financial model.
Distractors:
B: Reducing drives reduces raw capacity below 80TB requirement.
C: GreenLake is a consumption model but not the technical correction required.
D: Aruba 8325 is a core switch option; customer only asked for ToR 25GbE.
Key Concept: Networking alignment with requirements.
Reference: HPE Alletra MP Ordering and Configuration Guide.
NEW QUESTION # 37
The storage solution based on the exhibit is deployed at a customer site.
How can the sequential read performance values be enhanced for this configuration?
Answer: C
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
The exhibit shows a system delivering ~2.3 GB/s sequential read. For large-block sequential workloads, aggregate host link bandwidth (number × speed of front-end ports) is the primary limiter. Increasing the count of 10/25 Gb iSCSI NICs adds parallel lanes, raising sustained read GB/s to the hosts. This is a recommended first step in HPE sizing before changing protocols.
Analysis of Incorrect Options (Distractors):
A: Adding an expansion shelf increases capacity, not front-end bandwidth.
C: Moving to 32 Gb FC can help, but simply adding more existing 10/25 Gb ports achieves the same goal without a protocol/adapter change and is the straightforward, supported scale-out path.
D: SCM (Storage Class Memory) targets latency/IOPS; it doesn't materially lift sequential GB/s if the link budget is the bottleneck.
Key Concept: Scale front-end connectivity to increase sequential throughput; capacity or media class changes won't fix a link-limited system.
Reference: HPE Alletra 6000/MP Sizing and Host Connectivity Guidelines (throughput scaling via additional host ports).
NEW QUESTION # 38
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