- A
Use Cloud Logging's default retention
Why wrong: Default retention is 30 days (up to 400 days) for most logs, not 3 years.
- B
Create a sink to export logs to Pub/Sub
Why wrong: Pub/Sub is a messaging service, not a storage solution.
- C
Create a sink to export logs to Cloud Storage with object lifecycle rules
Cloud Storage with lifecycle rules allows cost-effective long-term storage.
- D
Create a sink to export logs to BigQuery
Why wrong: BigQuery is optimized for analytics, not cost-effective long-term storage.
Question 463 of 999
Cost-Effective Long-Term Log Retention with Cloud Storage
This PCD practice question tests your understanding of managing application performance monitoring. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 company uses Cloud Logging to store application logs. They need to keep logs for 3 years for compliance. What is the most cost-effective way to store logs for this duration?
Quick Answer
The answer is to create a sink that exports logs to Cloud Storage and apply object lifecycle rules. This is the most cost-effective approach because Cloud Logging’s default retention is limited to 30 days for most logs, with a maximum of 400 days for some audit logs, which falls far short of a three-year compliance requirement. By routing logs to Cloud Storage, you can use object lifecycle management to automatically transition objects from Standard storage to progressively cheaper classes like Nearline, Coldline, or Archive, and finally delete them after the retention period ends, directly addressing the need for long-term log retention cost optimization. On the Google Professional Cloud Developer exam, this scenario tests your understanding of Cloud Logging’s retention limits versus Cloud Storage’s tiered pricing, and a common trap is assuming you can simply increase the retention period in Logging itself. Memory tip: think “Sink and Shrink”—sink the logs out, then shrink the storage class over time.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a sink to export logs to Cloud Storage with object lifecycle rules
Cloud Logging's default retention is limited (e.g., 30 days for logs, with some exceptions up to 400 days), so it cannot meet a 3-year compliance requirement. Exporting logs to Cloud Storage and applying object lifecycle rules allows you to automatically transition objects to lower-cost storage classes (e.g., from Standard to Nearline, Coldline, or Archive) and delete them after the retention period, minimizing cost while meeting the 3-year retention need.
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 Cloud Logging's default retention
Why it's wrong here
Default retention is 30 days (up to 400 days) for most logs, not 3 years.
- ✗
Create a sink to export logs to Pub/Sub
Why it's wrong here
Pub/Sub is a messaging service, not a storage solution.
- ✓
Create a sink to export logs to Cloud Storage with object lifecycle rules
Why this is correct
Cloud Storage with lifecycle rules allows cost-effective long-term storage.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Create a sink to export logs to BigQuery
Why it's wrong here
BigQuery is optimized for analytics, not cost-effective long-term storage.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The PCD exam often tests the misconception that Cloud Logging's default retention can be extended indefinitely or that exporting to BigQuery is always the best for analytics, but the trap here is that long-term compliance storage requires a cost-optimized archival solution like Cloud Storage with lifecycle rules, not a query-optimized or streaming service.
Detailed technical explanation
How to think about this question
Cloud Storage object lifecycle management uses rules based on conditions like age, creation date, or storage class to automatically transition objects to colder storage (e.g., from Standard to Nearline after 30 days, then to Archive after 1 year) and finally delete them after 3 years. This leverages the Archive storage class, which costs ~$0.0012 per GB/month, making it the cheapest option for long-term retention. Under the hood, Cloud Logging sinks use a filter to select logs and export them as newline-delimited JSON files in Cloud Storage buckets, where lifecycle policies are evaluated asynchronously (typically within 24 hours).
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.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
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FAQ
Questions learners often ask
What does this PCD question test?
Managing application performance monitoring — This question tests Managing application performance monitoring — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a sink to export logs to Cloud Storage with object lifecycle rules — Cloud Logging's default retention is limited (e.g., 30 days for logs, with some exceptions up to 400 days), so it cannot meet a 3-year compliance requirement. Exporting logs to Cloud Storage and applying object lifecycle rules allows you to automatically transition objects to lower-cost storage classes (e.g., from Standard to Nearline, Coldline, or Archive) and delete them after the retention period, minimizing cost while meeting the 3-year retention need.
What should I do if I get this PCD 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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Last reviewed: Jun 25, 2026
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