Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

HPE7-J02 Exam - Topic 8 Question 10 Discussion

Actual exam question for HP's HPE7-J02 exam
Question #: 10
Topic #: 8
[All HPE7-J02 Questions]

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?

Show Suggested Answer Hide Answer
Suggested Answer: A

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.


Contribute your Thoughts:

0/2000 characters
Corinne
5 days ago
Sounds like they need a scalable solution!
upvoted 0 times
...
Elbert
10 days ago
Ah, the age-old problem of too much data and not enough speed. Sounds like a job for the IT Avengers!
upvoted 0 times
...
Devon
15 days ago
Why not just buy a bunch of SSDs? That'll solve the performance issue, easy peasy.
upvoted 0 times
...
Lisha
20 days ago
I'd suggest looking into tiered storage. That way you can balance capacity and performance.
upvoted 0 times
...
Paris
26 days ago
What about upgrading to the Alletra 9000 series? Bigger is always better, right?
upvoted 0 times
...
Izetta
1 month ago
Expand the array by adding more disks, duh!
upvoted 0 times
...
Shayne
1 month ago
I recall something about automated tiering, but I'm not confident if it applies here. It seems like it could help with both capacity and performance.
upvoted 0 times
...
Rodrigo
1 month ago
I feel like we practiced a similar question where we talked about using a hybrid approach. Maybe that could simplify management while scaling up?
upvoted 0 times
...
Gregoria
2 months ago
I'm not entirely sure, but I remember something about adding more SSDs to improve performance. Would that also help with capacity?
upvoted 0 times
...
Laticia
2 months ago
I think we discussed something about using tiered storage to manage both capacity and performance. That might help with the latency issues.
upvoted 0 times
...
Ronald
2 months ago
Ah, I think I've got an idea. If I remember correctly, the Alletra 6000 has some flexible scaling options that might work well for this situation. I'll focus on exploring those in my answer.
upvoted 0 times
...
Myong
3 months ago
I'm a bit unsure about the best approach here. Balancing capacity, performance, and simplicity of management seems like it could be a real challenge. I'll need to review my notes and maybe look up some information on the Alletra 6000.
upvoted 0 times
...
Shonda
3 months ago
Expanding the array while keeping things simple - that's the key here. I wonder if there are any specific features or capabilities of the Alletra 6000 that could help with this.
upvoted 0 times
...
Marylin
3 months ago
Okay, so we need to find a way to grow both capacity and performance without making the management too complex. I'm not sure if I've seen this exact scenario before, but I'll try to apply some general principles.
upvoted 0 times
...
Marylin
3 months ago
Hmm, this sounds like a tricky one. I'll need to think through the different options for expanding the array while maintaining performance.
upvoted 0 times
...

Save Cancel