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HP Exam HPE0-V25 Topic 8 Question 14 Discussion

Actual exam question for HP's HPE0-V25 exam
Question #: 14
Topic #: 8
[All HPE0-V25 Questions]

your customer needs to capture, store, manage, and analyze a dataset that exceeds capacity of typical database software tools.

What storage technology should you propose to meet their needs?

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Suggested Answer: C

HPE GreenLake is an edge-to-cloud platform that delivers cloud services to any location. The platform offers:

A flexible consumption model that allows customers to pay only for what they use

A scalable and secure infrastructure that can handle any workload

A cloud-like experience that simplifies operations and management

A wide range of services for compute, storage, networking, data protection, and more

By migrating to HPE GreenLake, the customer can move their workloads from a cloud service provider to an on-premises data center with dedicated hardware and the ability to scale up and down as business needs change. The customer can also benefit from the agility, performance, and innovation of the cloud services offered by HPE GreenLake.


by Ilene at Apr 09, 2024, 04:23 AM

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Arlene
22 days ago
E) Carrier Pigeons - The classic reliable method for data transfer. No internet outages, just wing fatigue.
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Jeff
29 days ago
B) Containers - Wait, what? Containers for data storage? Someone's been drinking too much of the Kool-Aid.
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Clarence
1 months ago
C) Big Data - Ah, the buzzword solution! Gotta love how it can solve everything these days.
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Valda
1 months ago
A) Block Storage - That's an interesting option, but I'm not sure it's the best fit for this use case.
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Sonia
2 days ago
B) Containers - Containers could be a good solution for handling large datasets.
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Dominque
1 months ago
D) File Storage - Seems like the obvious choice to handle large datasets that can't fit in a typical database.
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Erasmo
2 days ago
A) Block Storage - It offers high performance and scalability for handling large datasets.
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Nicolette
10 days ago
D) File Storage - Perfect for storing and managing large datasets that exceed typical database capacity.
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Lai
11 days ago
C) Big Data - Specifically designed to handle massive amounts of data for analysis.
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Arlette
23 days ago
A) Block Storage - It offers high performance and scalability for large datasets.
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Carmela
2 months ago
I'm not sure about Big Data. I think File Storage might be a better option for this situation.
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Mignon
2 months ago
I agree with Kallie. Big Data can handle large datasets efficiently.
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Kallie
2 months ago
I think we should propose Big Data for this scenario.
upvoted 0 times
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