Google Exam Professional Cloud Architect Topic 10 Question 64 Discussion

Actual exam question for Google's Professional Cloud Architect exam

Question #: 64
Topic #: 10

[All Professional Cloud Architect Questions]

For this question, refer to the TerramEarth case study.

TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately when a vehicle in the development team to focus their failure. You want to allow analysts to centrally query the vehicle dat

a. Which architecture should you recommend?

AOption A

BOption B

COption C

DOption D

Show Suggested Answer

Suggested Answer: B

by Xuan at Feb 03, 2023, 10:28 PM

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Sheridan

14 days ago

All this talk of vehicle data is making me hungry. Anyone else craving a nice, juicy... telemetry burger?

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Vilma

26 days ago

Hmm, Option A has a certain charm to it. 'Wheel of Fortune' anyone? Where's the fun in just giving the CTO a straightforward answer?

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Lai

2 days ago

User 2: Yeah, it's like adding a little game element to the recommendation.

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Rosamond

14 days ago

User 1: Option A does seem like a fun choice.

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Angella

1 months ago

Option B seems like a bit of a data silo. I want to be able to easily query and analyze the vehicle data, so I'd go with Option C for its centralized architecture.

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Sharan

4 days ago

Yeah, Option C definitely seems like the most efficient choice for the CTO's goal of using raw data from connected vehicles.

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Micah

14 days ago

Option C does seem like the best choice for allowing analysts to centrally query the vehicle data.

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Gabriele

17 days ago

I agree, Option C with its centralized architecture would make it easier to query and analyze the vehicle data.

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Nakita

1 months ago

I'm leaning towards Option D. The data lake approach allows for flexible analysis and could integrate well with the existing data infrastructure at TerramEarth.

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Kizzy

2 months ago

Option C looks like the most centralized and scalable solution for querying the vehicle data. The streaming architecture should handle the high volume of data from the connected vehicles.

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