Free Google Cloud-Digital-Leader Actual Exam Questions - Question 15 Discussion

Question No. 15
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?
Select one option, then reveal solution.
US
DH
Daniel H.
2026-02-16

B sounds right since compute-optimized VMs boost raw CPU power without code changes.

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MG
Mohammad G.
2026-02-13

It’s B because compute-optimized machines boost CPU performance directly without needing app changes.

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MG
Michael G.
2026-02-13

Makes sense that GPUs (D) might not help if the app isn’t designed for it. Also, option A with Cloud Functions wouldn’t improve raw compute power for heavy calculations since it’s more about scaling event-driven tasks. So, switching to compute-optimized machines (B) sounds like the best move to get more CPU horsepower without needing app changes. The local SSD (C) might help if disk I/O is a bottleneck but that’s not mentioned here, so B seems the most direct way to boost floating-point performance. Michael G.

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SH
Sami H.
2026-01-21

Maybe B makes sense because compute-optimized machines have better CPU performance for heavy calculation tasks. If the app can’t use GPUs effectively, upgrading the CPU type is the safer bet here.

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SH
Sami H.
2026-01-15

B

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