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Question 122 - Cloud Digital Leader discussion

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A financial services company is running an experimental application workload that has a very large number of mathematical calculations involving floating-point numbers. The current application that is running on compute engine is not providing enough speed and throughput. What are the options to increase the processing performance?

A.
Use a serverless option like Cloud Functions that will automatically scale as much as required.
Answers
A.
Use a serverless option like Cloud Functions that will automatically scale as much as required.
B.
Instead of using a "general purpose" machine family, use "compute-optimized" machine family.
Answers
B.
Instead of using a "general purpose" machine family, use "compute-optimized" machine family.
C.
Since processing could also be dependent on reading and writing data to the disk, use a fast Local SSD.
Answers
C.
Since processing could also be dependent on reading and writing data to the disk, use a fast Local SSD.
D.
Attach GPUs to the virtual machine for number crunching.
Answers
D.
Attach GPUs to the virtual machine for number crunching.
Suggested answer: D

Explanation:

Compute Engine provides graphics processing units (GPUs) that you can add to your virtual machines (VMs). You can use these GPUs to accelerate specific workloads on your VMs such as machine learning and data processing.

https://cloud.google.com/compute/docs/gpus

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asked 18/09/2024
Komalaharshini Basireddygari
42 questions
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