Cloud Digital Leader Scaling with Google Cloud operations Practice Question
This GCDL practice question tests your understanding of scaling with google cloud operations. 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.
An organization has multiple projects and wants to aggregate logs from all projects into a single bucket for long-term retention and compliance. What should they do?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use log sinks to route logs to a Cloud Storage bucket in a central project
Option D is correct because log sinks in Cloud Logging can route logs from multiple source projects to a centralized Cloud Storage bucket in a separate project. This meets the requirement for long-term retention and compliance, as Cloud Storage provides durable, cost-effective archival storage with lifecycle management policies.
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.
✗
Use log sinks to route logs to a BigQuery dataset
Why it's wrong here
BigQuery is optimized for analysis, not cost-effective long-term storage.
✗
Enable VPC Flow Logs
Why it's wrong here
VPC Flow Logs capture network metadata only, not all logs.
✗
Use Cloud Logging's aggregation view
Why it's wrong here
Aggregation view only displays logs, does not export them.
✓
Use log sinks to route logs to a Cloud Storage bucket in a central project
Why this is correct
Cloud Storage provides durable, low-cost storage for log retention.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between log aggregation for querying (aggregation views) versus log routing for centralized storage (log sinks), leading candidates to choose the aggregation view when the requirement is for long-term retention and compliance.
Detailed technical explanation
How to think about this question
Log sinks use inclusion and exclusion filters to selectively route logs to supported destinations, including Cloud Storage buckets, BigQuery datasets, Pub/Sub topics, and other Logging buckets. When routing to Cloud Storage, logs are written as newline-delimited JSON files (one log entry per line) in a timestamp-based directory structure, enabling efficient lifecycle management via Object Lifecycle Management rules (e.g., transitioning to Nearline, Coldline, or Archive storage classes after a specified period).
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this GCDL question in full detail.
Scaling with Google Cloud operations — This question tests Scaling with Google Cloud operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use log sinks to route logs to a Cloud Storage bucket in a central project — Option D is correct because log sinks in Cloud Logging can route logs from multiple source projects to a centralized Cloud Storage bucket in a separate project. This meets the requirement for long-term retention and compliance, as Cloud Storage provides durable, cost-effective archival storage with lifecycle management policies.
What should I do if I get this GCDL 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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