Google Professional Cloud Architect Exam - Topic 6 Question 105 Discussion

Actual exam question for Google's Professional Cloud Architect exam

Question #: 105
Topic #: 6

[All Professional Cloud Architect Questions]

Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup. Which two steps should they take? Choose 2 answers

ALoad logs into Google BigQuery.

BLoad logs into Google Cloud SQL.

CImport logs into Google Stackdriver.

DInsert logs into Google Cloud Bigtable.

EUpload log files into Google Cloud Storage.

Show Suggested Answer

Suggested Answer: A, E

by Vincent at Apr 07, 2025, 08:44 PM

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Truman

3 months ago

I agree, E and A are the best options here!

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Flo

3 months ago

Wait, can you really store that much in Cloud Storage?

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Lourdes

3 months ago

A is a solid choice for analytics too!

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Royal

3 months ago

Not sure about B, seems less suited for this task.

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Colby

3 months ago

Definitely go with E, Cloud Storage is perfect for archiving!

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Reita

4 months ago

I definitely recall that Google Cloud Storage is the go-to for archiving, but I’m not sure if Stackdriver is the right choice for analytics.

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Mirta

4 months ago

I’m a bit confused about whether Cloud SQL is suitable for this kind of data. I thought it was more for structured data, but maybe I’m wrong?

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Gabriele

4 months ago

I remember practicing a similar question where we had to choose between different Google services. I feel like BigQuery might be a good fit for analytics.

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Johnetta

4 months ago

I think uploading the log files into Google Cloud Storage makes sense for long-term storage, but I'm not sure about the second option.

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Han

4 months ago

Hmm, I'm not sure about Stackdriver or Bigtable. Those don't seem like the right fit for this scenario. I'll focus on the cloud storage and analytics options.

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Craig

5 months ago

This is straightforward - upload the logs to Google Cloud Storage for long-term backup, and use BigQuery for the analytics features. Easy peasy!

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Melvin

5 months ago

I'm a bit confused on the difference between the cloud storage options. I'll need to review the details of each one to decide.

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Lai

5 months ago

Okay, I think I've got this. Google BigQuery and Google Cloud Storage seem like the best choices to meet the requirements.

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Annita

5 months ago

Hmm, this looks like a tricky one. I'll need to think through the options carefully to make sure I choose the right steps.

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Viva

10 months ago

E) and A) are the clear winners here. Gotta love a two-for-one deal on the exam questions.

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Laila

9 months ago

E) and A) are the clear winners here. Gotta love a two-for-one deal on the exam questions.

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Ronald

9 months ago

A) Load logs into Google BigQuery.

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Cordelia

10 months ago

E) Upload log files into Google Cloud Storage.

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Buffy

10 months ago

After that, we can load logs into Google BigQuery for testing the analytics features.

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Alpha

10 months ago

I agree with Jordan. That's a good first step to archive the log data.

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Dacia

10 months ago

Haha, B) Load logs into Google Cloud SQL? What is this, the 90s? Cloud SQL is for relational data, not logs!

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Daniel

9 months ago

I agree, Cloud SQL is definitely not the right choice for log data.

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Abel

9 months ago

E) Upload log files into Google Cloud Storage.

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Delsie

10 months ago

A) Load logs into Google BigQuery.

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Dona

10 months ago

D) Insert logs into Google Cloud Bigtable? Really? I don't think that's the best fit for simple log data. Seems a bit overkill.

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Jordan

10 months ago

I think we should upload log files into Google Cloud Storage first.

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Mari

11 months ago

I think A) Load logs into Google BigQuery is a good choice too. It will let them explore the analytics features without a huge commitment.

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Carry

9 months ago

E) Upload log files into Google Cloud Storage is essential for long-term disaster recovery backup.

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Jeanice

10 months ago

I agree, starting with A) Load logs into Google BigQuery is a low-risk way to test the analytics features.

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Tula

10 months ago

E) Upload log files into Google Cloud Storage is also important for archiving.

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Virgina

10 months ago

A) Load logs into Google BigQuery sounds like a good option.

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Scarlet

11 months ago

E) Upload log files into Google Cloud Storage definitely seems like the way to go. It's a low-risk, long-term storage option that can also integrate with their analytics tools.

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