A customer experienced a replication network outage during setup of Alletra 6000 arrays. They want to allow HPE support remote root access to troubleshoot once the outage is resolved.
How can this be enabled?
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?
Detailed Explanatio n:
Rationale for Correct Answe r:
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.
A customer experienced a replication network outage during setup of Alletra 6000 arrays. They want to allow HPE support remote root access to troubleshoot once the outage is resolved.
How can this be enabled?
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?
Detailed Explanatio n:
Rationale for Correct Answe r:
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.
Distractors:
B: Adding NICs may help with throughput but not backend latency or capacity scaling.
C: Flash-to-cache ratios can optimize read caching but don't fundamentally increase system-wide performance.
D: Timeless storage is a procurement/licensing option, not a performance/capacity scaling method.
Key Concept: Alletra 6000 scale-out clustering for balanced growth of capacity and performance.
Refer to the exhibit.

A junior engineer is expanding a StoreOnce deployment for a law firm with a hybrid environment. The customer already has Veeam backing up to StoreOnce 3660 Gen 4 at both primary and secondary sites. They want to add Cloud Bank Storage (CBS) to archive into AWS Glacier tier for compliance. The junior engineer has added Cloud Bank licenses for the 80TB onsite capacity at the primary office.
Question : What does the junior engineer need to add to enable this scenario?
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