The answer is to create a dedicated project for logging and monitoring, and configure all other projects to send logs and metrics to that project. This is correct because Google Cloud’s recommended architecture for centralizing logging and monitoring across a Google Cloud organization uses aggregated sinks at the organization or folder level, which automatically forward all logs to a Cloud Logging bucket in the dedicated project, while metrics are collected via the Monitoring API. On the Google Professional Cloud DevOps Engineer exam, this tests your understanding of resource hierarchy and sink aggregation, often appearing as a scenario where a team mistakenly configures sinks per project or uses a shared VPC host project for logs. A common trap is assuming the organization’s root project should be used, but a separate project avoids quota conflicts and simplifies access control. Memory tip: think “one sink to rule them all” — set the sink at the org level, not per project.
PCDOE Practice Question: Bootstrapping a Google Cloud organization for DevOps
This PCDOE practice question tests your understanding of bootstrapping a google cloud organization for devops. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A DevOps team is setting up a Google Cloud organization. They want to centralize logging and monitoring across all projects. What is the recommended approach?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a dedicated project for logging and monitoring, and configure all other projects to send logs and metrics to that project.
Option B is correct because the recommended approach for centralizing logging and monitoring in a Google Cloud organization is to create a dedicated project that acts as a log sink and metric aggregator. By configuring aggregated sinks at the organization or folder level, all projects automatically forward logs to the dedicated project's Cloud Logging bucket, and metrics can be collected via the Monitoring API. This ensures a single pane of glass for operations without manual per-project setup.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Enable logging and monitoring in each project individually and use the Cloud Console to view them.
Why it's wrong here
No centralization; difficult to manage.
✓
Create a dedicated project for logging and monitoring, and configure all other projects to send logs and metrics to that project.
Why this is correct
This is the recommended pattern for centralized observability.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable Cloud Audit Logs in the organization and view them from the Organization level.
Why it's wrong here
Only covers audit logs, not all logs.
✗
Use Stackdriver (now Operations) to aggregate logs from all projects automatically.
Why it's wrong here
Aggregation requires configuration, not automatic.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Cloud Audit Logs (which are a subset of logs) with full centralized logging, or assume that Google Cloud Operations automatically aggregates logs across projects without explicit configuration of sinks or a metrics scope.
Detailed technical explanation
How to think about this question
Under the hood, Google Cloud uses log sinks (based on the Cloud Logging API) that can be configured at the organization, folder, or project level to route logs to a BigQuery dataset, Pub/Sub topic, or Cloud Storage bucket in a dedicated project. For metrics, a metrics scope (formerly Stackdriver Accounts) must be set up in the dedicated project to collect time-series data from linked projects. A real-world scenario is a multi-tenant SaaS company that needs to correlate incidents across hundreds of projects; without a dedicated project, log retention policies and access control become fragmented.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Bootstrapping a Google Cloud organization for DevOps — This question tests Bootstrapping a Google Cloud organization for DevOps — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a dedicated project for logging and monitoring, and configure all other projects to send logs and metrics to that project. — Option B is correct because the recommended approach for centralizing logging and monitoring in a Google Cloud organization is to create a dedicated project that acts as a log sink and metric aggregator. By configuring aggregated sinks at the organization or folder level, all projects automatically forward logs to the dedicated project's Cloud Logging bucket, and metrics can be collected via the Monitoring API. This ensures a single pane of glass for operations without manual per-project setup.
What should I do if I get this PCDOE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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