Google Professional Cloud Architect Exam - 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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Melvin

4 months ago

Option A seems outdated, B is definitely the way to go!

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Bettina

4 months ago

Wait, can we really trust the raw data from connected vehicles?

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Devorah

4 months ago

Not sure, I feel like Option C might be more efficient.

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Gearldine

4 months ago

Totally agree, B looks solid for central queries!

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Nicolette

4 months ago

I think Option B has the best architecture for querying.

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Hollis

5 months ago

I keep getting mixed up between the options. I think Option D might be relevant, but I need to double-check how it handles data flow.

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Shalon

5 months ago

I have a vague recollection that we talked about how to handle large volumes of data from connected devices. Could Option A be the best architecture for that?

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Whitley

5 months ago

I'm not entirely sure, but I feel like we practiced a similar question where we had to choose between batch processing and real-time analytics. Maybe Option C is the right choice?

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Markus

5 months ago

I remember we discussed the importance of a centralized data architecture for querying vehicle data. I think Option B might fit that need.

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Alease

5 months ago

Wait, do we have to consider the possibility of humans reacting negatively and trying to sabotage the AI? That's an interesting angle, but I'm not sure if that's the intended answer here.

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Valentin

5 months ago

I'm a bit confused by the "DONTRESOLVE" part in options A and C. I'm not sure what that's referring to, so I'll have to research that a bit more before deciding.

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Natalya

5 months ago

I'm a bit unsure about this one. I'll need to read through the options carefully and think about which two benefits are the most significant.

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Lai

5 months ago

I remember we discussed that a Grievance is about issues like unfair treatment at work. "Unfair appraisal" sounds like a good example, right?

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Sheridan

9 months ago

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

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Jeanice

8 months ago

Let's all go grab some telemetry burgers after work!

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Devorah

8 months ago

I prefer a telemetry burger with extra data sauce.

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Glory

8 months ago

Me too, sounds delicious!

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Macy

9 months ago

I could go for a telemetry burger right about now!

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Vilma

10 months 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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Tasia

9 months ago

Lai: Exactly, keeps things interesting for the CTO.

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Lai

9 months ago

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

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Rosamond

9 months ago

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

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Angella

10 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

9 months 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

9 months ago

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

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Gabriele

9 months 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

10 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

10 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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