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Google Professional Cloud DevOps Engineer Exam - Topic 3 Question 94 Discussion

[Building and implementing service monitoring strategies]Your company operates in a highly regulated domain that requires you to store all organization logs for seven years You want to minimize logging infrastructure complexity by using managed services You need to avoid any future loss of log capture or stored logs due to misconfiguration or human error What should you do?
B) Use Cloud Logging to configure an aggregated sink at the organization level to export all logs into Cloud Storage with a seven-year retention policy and Bucket Lock
A) Use Cloud Logging to configure an aggregated sink at the organization level to export all logs into a BigQuery dataset
C) Use Cloud Logging to configure an export sink at each project level to export all logs into a BigQuery dataset
D) Use Cloud Logging to configure an export sink at each project level to export all logs into Cloud Storage with a seven-year retention policy and Bucket Lock

Google Professional Cloud DevOps Engineer Exam - Topic 3 Question 94 Discussion

Actual exam question for Google's Professional Cloud DevOps Engineer exam
Question #: 94
Topic #: 3
[All Professional Cloud DevOps Engineer Questions]

[Building and implementing service monitoring strategies]

Your company operates in a highly regulated domain that requires you to store all organization logs for seven years You want to minimize logging infrastructure complexity by using managed services You need to avoid any future loss of log capture or stored logs due to misconfiguration or human error What should you do?

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Suggested Answer: B

by Adell at Jul 11, 2025, 10:36 AM

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Lashaunda
9 months ago
Not sure if Bucket Lock is foolproof...
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Lawana
9 months ago
I agree, B is the best choice here!
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Meaghan
9 months ago
Seven years? That’s a long time to keep logs!
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Raymon
9 months ago
Why not just use BigQuery for everything?
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Edward
9 months ago
Option B seems solid for compliance.
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Velda
10 months ago
I’m a bit confused about the project-level versus organization-level exports. I think option D might work, but I need to double-check the retention requirements.
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Janine
10 months ago
I practiced a similar question where we had to consider retention policies, and I think option B is the safest bet to avoid misconfiguration issues.
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Hana
10 months ago
I'm not entirely sure, but I feel like using BigQuery could be more beneficial for analysis, which makes me lean towards option A or C.
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Eliseo
10 months ago
I remember we discussed the importance of centralized logging for compliance, so I think option B might be the best choice.
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Frederick
11 months ago
This is a good one. I think the organization-level sink with Cloud Storage and Bucket Lock is the way to go. That gives me the centralized management and the long-term durability I need to comply with the regulations.
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Adolph
11 months ago
Okay, I've got a strategy. I'll focus on the organization-level versus project-level options, and then consider the storage destinations - BigQuery versus Cloud Storage. Gotta make sure I meet that 7-year retention policy.
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Jess
11 months ago
Hmm, I'm a bit unsure about the differences between the options here. I'll need to carefully review the details of each approach to determine the best one for the requirements.
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Chaya
11 months ago
This seems like a straightforward question about setting up log management using Google Cloud services. I think the key is to minimize complexity while ensuring long-term retention and durability.
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Chantay
1 year ago
Haha, this question is a real log-ical nightmare! But B definitely looks like the most 'log-ical' choice here.
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Shannan
12 months ago
User 1: Haha, this question is a real log-ical nightmare!
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Merilyn
1 year ago
But wouldn't it be better to have the logs stored in Cloud Storage with a retention policy and Bucket Lock for added security?
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Shawna
1 year ago
D might work too, but I like B because it's simpler to manage at the organization level. Fewer moving parts, you know?
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Arlean
1 year ago
I'm not sure, I think option A could also work well by exporting all logs into a BigQuery dataset at the organization level.
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Jess
1 year ago
I agree with Merilyn, option B seems like the most secure and efficient solution to minimize logging infrastructure complexity.
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Merilyn
1 year ago
I think option B is the best choice because it allows us to export all logs into Cloud Storage with a seven-year retention policy and Bucket Lock.
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Verda
1 year ago
I agree, B is the way to go. Cloud Storage with a retention policy and Bucket Lock is the safest bet to meet the regulatory requirements.
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Talia
12 months ago
B) Use Cloud Logging to configure an aggregated sink at the organization level to export all logs into Cloud Storage with a seven-year retention policy and Bucket Lock
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Reuben
1 year ago
A) Use Cloud Logging to configure an aggregated sink at the organization level to export all logs into a BigQuery dataset
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Kendra
1 year ago
Option B seems like the most straightforward and reliable way to ensure long-term log storage. Exporting to BigQuery could get tricky with managing the dataset.
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Felicitas
1 year ago
I agree, using Cloud Storage with a retention policy and Bucket Lock is a secure way to store logs for seven years.
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Felix
1 year ago
Option B sounds like a good choice. It simplifies the process and ensures long-term storage.
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