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Google Exam Professional Cloud Architect 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

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Suggested Answer: A, E

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

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Viva
28 days ago
E) and A) are the clear winners here. Gotta love a two-for-one deal on the exam questions.
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Cordelia
8 days ago
E) Upload log files into Google Cloud Storage.
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Buffy
1 months ago
After that, we can load logs into Google BigQuery for testing the analytics features.
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Alpha
1 months ago
I agree with Jordan. That's a good first step to archive the log data.
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Dacia
1 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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Delsie
20 days ago
A) Load logs into Google BigQuery.
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Dona
1 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
1 months ago
I think we should upload log files into Google Cloud Storage first.
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Mari
1 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
19 hours ago
E) Upload log files into Google Cloud Storage is essential for long-term disaster recovery backup.
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Jeanice
18 days 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
21 days ago
E) Upload log files into Google Cloud Storage is also important for archiving.
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Virgina
26 days ago
A) Load logs into Google BigQuery sounds like a good option.
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Scarlet
1 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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