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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Planning and Validating Storage Solutions | 20% | - Size and design multi-site storage solutions - Evaluate customer requirements and environment - Validate solution against performance, availability and scalability needs |
| Storage Networking and Transport | 20% | - SAN, Fibre Channel, iSCSI and NVMe-oF architectures - Multi-site connectivity and data transport technologies - High availability and disaster recovery design |
| Implementation and Integration | 20% | - Deploy, configure and integrate HPE storage solutions - Integrate with virtualization, cloud and application environments - Implement data services: replication, snapshots, tiering |
| Optimization, Monitoring and Management | 20% | - Use HPE OneView, InfoSight and management tools - Optimize performance, capacity and efficiency - Troubleshoot and maintain storage infrastructure |
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NEW QUESTION # 33
Refer to the exhibit.
The above image represents an existing Alletra 6000 Peer Persistence configuration.
Which statement could be true in this scenario?
Answer: A
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
In the exhibit, several paths show "Standby" and some appear "Dead", while only a subset is Active (0).
This typically indicates that one storage controller may be missing or offline, which reduces redundancy and can cause performance degradation. In a healthy Peer Persistence environment, both controllers should present active and non-optimized paths.
Distractors:
A & B: Having multiple active paths does not inherently reduce performance; in fact, MPIO load balances traffic. The issue here is path failures, not excessive active paths.
Key Concept: MPIO pathing in HPE Peer Persistence and controller health.
Reference: HPE Alletra 6000 Peer Persistence Implementation Guide.
NEW QUESTION # 34
Refer to the exhibit. The array is experiencing frequent cache misses for read operations. Which action plan would you suggest to correct the issue?
Answer: C
Explanation:
Frequent cache misses occur when the working dataset does not fit effectively in cache.
Increasing the flash-to-disk ratio ensures a higher portion of hot data is served from flash media rather than backend disk, reducing cache miss penalties. This is the standard HPE recommendation for read- intensive workloads where cache is insufficient.
NEW QUESTION # 35
A customer wants to improve storage efficiency by reducing duplicate data generated by virtual desktop infrastructure workloads.
Which technology provides the greatest benefit?
Answer: D
Explanation:
Virtual desktop environments contain many identical operating system files and application blocks. Deduplication identifies and removes redundant data, significantly reducing storage capacity requirements and improving storage efficiency.
NEW QUESTION # 36
A pool of Microsoft SQL servers started to use the Alletra 6000 family array six months ago. The data growth has been higher than expected, and the performance of the databases is facing some latency issues.
Which method would allow both capacity and performance to grow when expanding the array, while keeping the management simple?
Answer: B
Explanation:
HPE Alletra 6000 is a scale-out architecture array. Adding more arrays to a single scale-out group increases both performance (IOPS, throughput) and capacity, while maintaining single-pane management via HPE Data Services Cloud Console. This is the most efficient way to address both capacity growth and latency reduction for SQL workloads.
NEW QUESTION # 37
A customer is replacing their HPE 3PAR 8200 Peer Persistence setup with Alletra 6000. In a recent audit, they were warned that the Quorum Witness VM was missing security updates.
How would you respond regarding the new setup?
Answer: A
Explanation:
With Alletra and Primera Peer Persistence, the Quorum Witness is no longer a self-hosted VM. It is delivered as a cloud-based SaaS service managed by HPE. This eliminates customer responsibility for patching and ensures HPE automatically applies updates and security fixes.
This resolves the audit concern.
NEW QUESTION # 38
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