HPE7-V01 practice question 20 of 25

A fintech wants strict data residency, burst capacity for quarterly stress tests, and OpEx alignment. Which delivery model is the best primary fit?

Full set: 150 questions
Answer options
A: Public cloud only
B: Traditional on-prem CapEx only
C: HPE GreenLake on-prem with elastic buffer Correct answer
D: Colocation with tape archives
Correct Answer:
C. HPE GreenLake on-prem with elastic buffer
Explanation

The fintech's requirements are perfectly met by the HPE GreenLake model. "Strict data residency" is achieved by deploying the solution on-premises in the customer's own data center. The need for "burst capacity" for quarterly tests is addressed by the elastic buffer of pre-provisioned hardware that can be activated on demand. Finally, the entire solution is delivered as a service with a pay-per-use billing model, which directly aligns with the desire for "OpEx alignment" rather than a large upfront capital expenditure. This combination of on-premises control with a cloud-like consumption experience is the core value proposition of HPE GreenLake.

Why Incorrect

A. Public cloud only: This model may not satisfy "strict" data residency requirements, as the infrastructure and data reside in a third-party data center, which can be a concern for highly regulated fintech firms.
B. Traditional on-prem CapEx only: This fails to provide burst capacity efficiently (requiring overprovisioning) and is a capital expenditure (CapEx) model, directly contradicting the OpEx requirement.
D. Colocation with tape archives: While colocation can address data residency, it does not inherently provide an elastic, consumption-based model for burst capacity. Tape archives are for long-term backup, not active stress testing.

References

1. HPE GreenLake: The cloud that comes to you, For Dummies, HPE Special Edition.

Page 12, Chapter 2, "Paying Only for What You Use": "HPE GreenLake is a pay-per-use model... This model shifts your IT spending from a capital expenditure (CapEx) to an operational expenditure (OpEx)." (Supports OpEx alignment).

Page 13, Chapter 2, "Scaling Up or Down as Needed": "HPE works with you to install a buffer of extra capacity on-premises... When you need more capacity... you can start using the buffer capacity immediately." (Supports burst capacity via elastic buffer).

Page 6, Chapter 1, "Bringing the Cloud Experience to Your Apps and Data": "With HPE GreenLake, you get the cloud experience for all your apps and data, wherever they live: in your data center, in a colocation facility, or at the edge." (Supports on-prem deployment for data residency).

2. HPE GreenLake for Private Cloud Enterprise - Solution Brief (Document ID: a00122542enw).

Page 2, "A modern private cloud, delivered as a service": "Enjoy a self-service, pay-per-use, and scalable private cloud wherever you need it—in your data centers... HPE manages the platform for you, and you get a buffer of capacity so you can scale when you need to." (This single paragraph confirms all three requirements: on-prem for residency, pay-per-use for OpEx, and a buffer for burst capacity).

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