Google Professional Cloud Architect (PR000213) Exam - Topic 5 Question 107 Discussion

Actual exam question for Google's Professional Cloud Architect (PR000213) exam

Question #: 107
Topic #: 5

[All Professional Cloud Architect (PR000213) Questions]

You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute, with bursts of up to 8,500 clicks per second. It must been stored for future analysis by your data science and user experience teams. Which storage infrastructure should you choose?

AGoogle Cloud SQL

BGoogle Cloud Bigtable

CGoogle Cloud Storage

DGoogle cloud Datastore

Show Suggested Answer

Suggested Answer: C

https://cloud.google.com/bigquery/docs/loading-data-cloud-storage

by Horace at Jun 15, 2025, 04:23 AM

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Dottie

8 months ago

Datastore is too slow for this kind of data, no way that's a good option.

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Ashton

9 months ago

Wait, can Bigtable really handle those burst rates? Sounds risky!

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Elina

9 months ago

Totally agree, it handles large datasets really well!

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Cecil

9 months ago

Google Cloud Storage could work, but it's not optimized for real-time analytics.

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Dorothy

9 months ago

I think Google Cloud Bigtable is the best choice for high throughput.

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Rasheeda

9 months ago

I have a vague memory of Google Cloud Datastore being good for NoSQL, but I wonder if it can handle the click data's volume as well as Bigtable. I guess I need to think this through more.

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Chauncey

10 months ago

I practiced a similar question where we had to choose between storage options for real-time data. I think Google Cloud Storage is more for unstructured data, so it might not be the best fit here.

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Shanice

10 months ago

I'm not entirely sure, but I feel like Google Cloud SQL could struggle with the burst rates mentioned. It seems more suited for transactional data rather than streaming analytics.

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Tori

10 months ago

I remember we discussed the importance of scalability for high-velocity data like this. I think Google Cloud Bigtable might be the right choice since it handles large amounts of data efficiently.

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Sylvie

10 months ago

This seems straightforward to me. The high click volume and need for future analysis point to Google Cloud Bigtable as the clear choice. I'm confident that's the right solution for this use case.

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Benton

11 months ago

Okay, I've got a strategy here. I need to prioritize high throughput and scalability to handle those data bursts. I'm leaning towards Google Cloud Bigtable as the most suitable option.

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Derick

11 months ago

I'm a bit unsure about this one. The high ingestion rate is a key factor, but I'll also need to think about the analysis needs of the data science and UX teams. Maybe Google Cloud Storage could work?

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Beckie

11 months ago

Hmm, 6,000 clicks per minute with bursts up to 8,500 per second? That's a lot of data. I'm thinking Google Cloud Bigtable might be the best fit for handling that kind of throughput.

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Darrin

11 months ago

This looks like a tricky one. I'll need to carefully consider the data volume, ingestion rate, and usage requirements to pick the right storage solution.

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Cecily

1 year ago

Haha, I bet the person who wrote this question was just trying to trip us up with those crazy click numbers. But seriously, I think Google Cloud Bigtable is the clear choice here.

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Benedict

1 year ago

Definitely, Google Cloud Bigtable is the best option for storing and analyzing that amount of click data.

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Azzie

1 year ago

Yeah, Google Cloud Bigtable is designed for massive scalability and high performance.

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Bernardine

1 year ago

I agree, Google Cloud Bigtable can handle those high click rates with ease.

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Deonna

1 year ago

I'm not sure, but Google Cloud Storage could also be a good option for storing large amounts of data.

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Alison

1 year ago

I agree with Donte, Google Cloud Bigtable is designed for massive scalability and high performance.

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Ardella

1 year ago

Hmm, I'm gonna have to go with Google Cloud Datastore on this one. It's designed for high-throughput writes, which is exactly what we need for this click-data.

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Caitlin

1 year ago

I'm not so sure about that. With the data needing to be stored for future analysis, I think Google Cloud Storage might be a better fit. It's reliable and scalable, perfect for this use case.

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Minna

1 year ago

Google Cloud Storage seems like the best option for storing and analyzing the click-data efficiently.

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Denna

1 year ago

I agree, Google Cloud Storage can handle the high volume of click-data and is suitable for future analysis.

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Leota

1 year ago

Google Cloud Storage is reliable and scalable, which is important for storing large amounts of data.

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Paris

1 year ago

I think Google Cloud Storage would be a good choice for this scenario.

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Donte

1 year ago

I think we should go with Google Cloud Bigtable for handling such high volume of click-data.

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Shasta

1 year ago

Whoa, 8,500 clicks per second? That's crazy! I think Google Cloud Bigtable is the way to go here. It's built to handle massive amounts of data like that.

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Leeann

1 year ago

I think Google Cloud Bigtable is the most scalable option for storing and analyzing such a large amount of click-data.

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Sherita

1 year ago

Yeah, Google Cloud Bigtable is designed for high throughput and low latency, perfect for this scenario.

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Thea

1 year ago

I agree, Google Cloud Bigtable is definitely the best choice for handling that kind of data volume.

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