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| Section | Weight | Objectives |
|---|---|---|
| Storage Access Configuration | 14% | - Test data integrity and disaster recovery - Provision storage capacity - Configure RBAC, data protection, and replication |
| Competitive Positioning | 8% | - Position HPE offerings against competitors and market trends - Recognize opportunities in multi-vendor environments |
| Root Cause Identification | 8% | - Implement preventive measures - Diagnose complex issues |
| HPE Storage Portfolio and Enterprise Infrastructure | 18% | - Correctly position HPE storage solutions - Understand tools, resources, and enterprise-scale HPE strategies - Explain HPE storage hardware and procurement options |
| Remote Support Configuration | 1% | - Configure systems for remote support |
| Storage Transport in Multi-Site Solutions | 8% | - Recommend advanced data protection technologies - Differentiate between SAN topologies - Identify and evaluate storage transport technologies |
| Customer Environment Assessment | 18% | - Plan and size storage solutions for enterprise workloads - Validate proposals for complex or multi-vendor workloads |
| Cloud and On-Prem Management Tools | 7% | - Configure alerts, reporting, and evaluate performance trends - Use HPE or third-party tools for monitoring |
| Opportunities for Improvement | 18% | - Develop and validate improvement plans - Identify optimization opportunities |
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NEW QUESTION # 12
You need to evaluate a customer's virtual server environment to size an HCI solution based on HPE SimpliVity according to usage metrics over time. The environment consists of Dell servers and storage running VMware virtualization.
Which action can you use to gather the usage metrics of this setup?
Answer: A
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
For competitive or 3rd-party (non-HPE) environments like Dell + VMware, HPE CloudPhysics is the correct tool. The Observer VM is deployed into vCenter to gather real-world workload metrics (CPU, memory, storage I/O). These analytics can then be used for SimpliVity HCI sizing.
Distractors:
A: NinjaOnline SimpliVity Sizer requires input metrics, but it cannot directly collect from 3rd-party environments.
B: InfoSight sizing applies to HPE arrays, not competitive storage.
D: InfoSight for SimpliVity only monitors existing HPE SimpliVity clusters.
Key Concept: CloudPhysics Observer # gathers competitive workload metrics # feeds into SimpliVity sizing.
Reference: HPE CloudPhysics for HCI Sizing.
NEW QUESTION # 13
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: B
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 # 14
A mid-sized enterprise needs a file storage solution that offers scalable storage and integrated data protection, backup, and disaster recovery.
Which solution best meets the company's needs?
Answer: B
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
HPE GreenLake for File Storage (powered by VAST Data) delivers scale-out NAS capabilities with native data protection, snapshots, and disaster recovery integration. It is designed for enterprises that need both scalability and integrated protection in a single consumption or CapEx model.
Distractors:
A (Qumulo): Excellent scale-out file, but lacks deep HPE ecosystem integration.
B (Scality): Primarily focused on object storage, not file workloads.
D (Cohesity): Strong in backup and secondary storage, but not primary enterprise file services.
Key Concept: HPE GreenLake for File Storage = enterprise-grade file storage + integrated protection.
Reference: HPE GreenLake for File Storage Overview.
NEW QUESTION # 15
A VMware administrator wants to ensure workloads automatically restart on another host if a server fails.
Which VMware feature should be enabled?
Answer: A
Explanation:
VMware High Availability monitors cluster hosts and automatically restarts affected virtual machines on surviving hosts if a hardware or operating system failure occurs, minimizing downtime for production workloads.
NEW QUESTION # 16
Your customer is beginning to convert their applications to cloud-native apps on Kubernetes.
They are considering HPE GreenLake for Containers.
Which statement about this platform is true?
Answer: C
Explanation:
HPE GreenLake for Containers delivers an enterprise-grade Kubernetes platform, leveraging open- source Kubernetes but with simplified lifecycle management, monitoring, and integration with HPE infrastructure. It provides full support for containerized workloads, whether cloud-native or modernized traditional applications.
NEW QUESTION # 17
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