Google Exam Professional Cloud Architect Topic 5 Question 77 Discussion

Actual exam question for Google's Professional Cloud Architect exam

Question #: 77
Topic #: 5

[All Professional Cloud Architect Questions]

For this question refer to the TerramEarth case study

Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field How can you accomplish this goal?

AHave your engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically.

BCapture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically.

CImplement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically.

DCapture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically.

Show Suggested Answer

Suggested Answer: A

The Data Transfer appliance is a Google-provided hardware device that can be used to transfer large amounts of data from on-premises environments to Cloud Storage. It is suitable for scenarios where the bandwidth between the on-premises environment and Google Cloud is low or insufficient, and the data size is large. The Data Transfer appliance can minimize the time it takes to complete the migration, the overall cost and database load, by avoiding network bottlenecks and reducing bandwidth consumption. The Data Transfer appliance also encrypts the data at rest and in transit, ensuring data security and privacy. The other options are not optimal for this scenario, because they either require a high-bandwidth network connection (B, C, D), or incur additional costs and complexity (B, C). Reference:

https://cloud.google.com/data-transfer-appliance/docs/overview

https://cloud.google.com/blog/products/storage-data-transfer/introducing-storage-transfer-service-for-on-premises-data

by Van at Mar 10, 2024, 07:38 AM

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Na

19 days ago

I'm not sure, I think option A could also work well if the engineers can identify patterns effectively.

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Harrison

22 days ago

I agree with Bambi, hosting the machine learning models in Google Cloud seems like a reliable solution.

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Bambi

24 days ago

I think option D sounds like the best approach.

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