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| Section | Objectives |
|---|---|
| Exam Objective | - Consider all consumption models and hosting locations - Design and architect advanced HPE solutions across Edge-to-Cloud environments - Translate business requirements into complex, multi-site solutions |
| Core Knowledge Areas | - Scenario-based problem solving and application - Compute, storage, and networking solution design - Edge-to-Cloud workloads integration and architecture - Solution planning and positioning HPE products and services - HPE GreenLake and cloud service models |
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NEW QUESTION # 27
Your customer is planning to buy a new hardware platform for their HPC application.
They are considering an environment with 150 HPE Cray XD2000 systems with XD225v and XD220v servers.
Your customer has the following requirements for a management platform:
Supports Ubuntu Linux 24.04 operating system
Supports bare metal server operating system provisioning
Has the ability to install operating system in parallel on multiple
nodes
Management platform is highly available
You are exploring HPE Performance Cluster Manager (HPCM) as a solution.
What statement is true in this scenario?
Answer: B
Explanation:
The correct answer is A. HPE Performance Cluster Manager is the correct management platform for this HPC-oriented customer because it is designed for large-scale cluster administration, operating system provisioning, image management, monitoring, and lifecycle operations. The key requirement is not only to install an operating system, but to do so across many nodes efficiently.
HPE Performance Cluster Manager supports bare-metal Linux provisioning and can provision nodes in parallel, which directly addresses the customer's requirement for simultaneous operating system deployment across the 150-node environment. HPE's QuickSpecs state that HPCM can quickly provision a Linux operating system from bare metal and provision nodes in parallel for maximum system performance, including very large clusters.
NEW QUESTION # 28
Which statement about designing HPE SimpliVity solutions for high availability is true?
Answer: C
Explanation:
The correct answer is D because an HPE SimpliVity stretched cluster requires an external arbitration mechanism to preserve data consistency and avoid split-brain behavior when communication between sites is disrupted. The arbiter should be placed at a third site, separate from the two availability zones or data-center locations that host the stretched cluster nodes.
NEW QUESTION # 29
Your customer is expecting to see an increase in the amount of data stored on their HPE Alletra Storage MP B10000.
They are asking to create a plan to support a raw capacity of 450 TB all flash.
Refer to exhibit
What change would you recommend to the configuration to achieve this?
Answer: A
Explanation:
The correct answer is C. The exhibit shows an HPE Alletra Storage MP B10000 configuration based on QLC flash, with raw capacity below the customer's 450 TB target. The correct capacity adjustment is to increase the number of QLC drives in the system while selecting the sparing policy that maximizes available usable capacity for the intended design. Replacing QLC with TLC is not the right direction for a high-capacity all-flash requirement because QLC media is positioned for dense, cost-efficient capacity expansion. Adding host bus adapters does not increase raw storage capacity, so option A is unrelated to the requirement. Replacing controller nodes is also unnecessary because the problem is media capacity, not controller performance. HPE Alletra Storage MP B10000 QuickSpecs identify scale-out capacity characteristics, including maximum raw capacity per shelf, confirming that the platform is intended to scale capacity through shelves and drive population rather than by changing host-connectivity cards. The correct plan is to add QLC capacity to reach the raw-capacity target and adjust sparing appropriately. Reference/topics: B10000 capacity planning, QLC all-flash sizing, sparing policy, GreenLake proposal validation.
NEW QUESTION # 30
Your customer has a requirement to support 500K IOP/s write speeds in their environment.
What change should you make to the configuration to achieve this?
Answer: B
Explanation:
The correct answer is D because the requirement is not simply additional raw capacity; it is a write- performance target of 500K IOP/s. For HPE Alletra Storage MP B10000 designs, controller-node model selection, node count, shelf count, drive population, and media layout collectively determine whether the configuration can satisfy the performance envelope. Merely increasing the number of drives, as suggested in option C, does not guarantee that the front-end controller resources, CPU, cache, and back-end connectivity can sustain the required write workload. Options A and B use lower or inappropriate node selections for this stated requirement. The B10230 model, combined with additional shelf and drive resources, is the configuration change that aligns the controller and media resources with the required write I/O target. HPE's course outline places HPE Alletra Storage MP B10000 in both general enterprise solution design and database workload solution design, which is exactly the kind of workload-sensitive sizing exercise represented here. The proposal must be validated against the customer's required I/O profile, not only against usable capacity.
NEW QUESTION # 31
You are designing an HPE solution for SAP HANA. You are considering an as-a-service approach as one of the variants to be proposed to the customer. What is true regarding HPE GreenLake for SAP HANA?
Answer: A
Explanation:
The correct answer is B. HPE GreenLake for SAP HANA is positioned as an on-premises, consumption- based infrastructure model for SAP HANA rather than a public-cloud runtime service or a user-count licensing model. The key sizing and financial driver is the SAP HANA memory footprint because SAP HANA is an in-memory database platform. HPE describes the GreenLake SAP HANA model as a complete pay-per-use infrastructure solution with an on- premises appliance, operating system, and services, and states that the simplified monthly invoice is based on the total gigabytes of RAM used by the SAP HANA system.
NEW QUESTION # 32
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