- A
Store all 100 TB in Standard storage for consistent access performance.
Why wrong: Storing rarely accessed 90+ day logs in Standard storage pays premium prices unnecessarily. Lifecycle policies automate cost-optimized tiering without sacrificing accessibility.
- B
Configure lifecycle rules: Standard (0-7 days) → Nearline (8-90 days) → Archive (90+ days).
Lifecycle Management automatically transitions objects between storage classes as they age. Standard for active logs, Nearline for occasional review, Archive for compliance retention — each class priced for its access pattern.
- C
Delete all logs older than 7 days to minimize storage costs.
Why wrong: Deleting logs older than 7 days would violate the compliance requirement for long-term retention. Archive storage provides compliance retention at very low cost.
- D
Store all logs in Archive storage since most are rarely accessed.
Why wrong: Archive storage has high retrieval costs and minimum storage duration. Logs accessed daily (7 days) would incur retrieval fees and minimum storage penalties, making Standard more economical for recent logs.
Cloud Storage Lifecycle Rules for Cost Optimization
This GCDL practice question tests your understanding of scaling with google cloud operations. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 wants to optimize Cloud Storage costs for a bucket containing 100 TB of access logs. The logs from the last 7 days are frequently analyzed; logs from 8–90 days are occasionally reviewed; logs older than 90 days are archived for compliance but rarely accessed. What is the most cost-effective storage class configuration?
Quick Answer
The answer is to configure lifecycle rules that transition the logs from Standard storage for the first 7 days, to Nearline for days 8 through 90, and finally to Archive for data older than 90 days. This configuration is correct because it directly aligns storage costs with the data’s changing access patterns: Standard class handles the frequent analysis of recent logs, Nearline reduces costs for the occasional reviews of intermediate data, and Archive provides the cheapest long-term option for rarely accessed compliance archives. On the Google Cloud Digital Leader exam, this scenario tests your understanding of how lifecycle management automates cost optimization by matching storage tiers to data temperature, a core concept in cloud financial governance. A common trap is choosing Coldline for the middle tier, but Nearline is the most cost-effective for data accessed roughly once a month. Memory tip: think of the data aging like a product lifecycle—hot, warm, then frozen—and match each stage to the appropriate storage class.
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
Configure lifecycle rules: Standard (0-7 days) → Nearline (8-90 days) → Archive (90+ days).
Option B is correct because it aligns the storage class with the access patterns of the logs: Standard for frequently accessed recent data, Nearline for occasional access, and Archive for rarely accessed compliance data. This minimizes costs by using cheaper storage for older data while maintaining performance for active analysis. Lifecycle rules automate the transition, ensuring no manual intervention is needed.
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.
- ✗
Store all 100 TB in Standard storage for consistent access performance.
Why it's wrong here
Storing rarely accessed 90+ day logs in Standard storage pays premium prices unnecessarily. Lifecycle policies automate cost-optimized tiering without sacrificing accessibility.
- ✓
Configure lifecycle rules: Standard (0-7 days) → Nearline (8-90 days) → Archive (90+ days).
Why this is correct
Lifecycle Management automatically transitions objects between storage classes as they age. Standard for active logs, Nearline for occasional review, Archive for compliance retention — each class priced for its access pattern.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Delete all logs older than 7 days to minimize storage costs.
Why it's wrong here
Deleting logs older than 7 days would violate the compliance requirement for long-term retention. Archive storage provides compliance retention at very low cost.
- ✗
Store all logs in Archive storage since most are rarely accessed.
Why it's wrong here
Archive storage has high retrieval costs and minimum storage duration. Logs accessed daily (7 days) would incur retrieval fees and minimum storage penalties, making Standard more economical for recent logs.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that Archive storage is always the cheapest option, ignoring the retrieval costs and latency for frequently accessed data, leading candidates to choose Option D.
Detailed technical explanation
How to think about this question
Google Cloud Storage lifecycle management uses rules with conditions based on age (e.g., 7 days) to transition objects between classes. The Nearline class has a 30-day minimum storage duration, so transitioning at 8 days is acceptable, but note that early deletion fees apply if objects are deleted before 30 days. Archive storage has a 365-day minimum, but for compliance logs older than 90 days, this is typically not an issue. In real-world scenarios, you might also set a rule to delete logs after a retention period (e.g., 7 years) to further optimize costs.
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 GCDL question test?
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: Configure lifecycle rules: Standard (0-7 days) → Nearline (8-90 days) → Archive (90+ days). — Option B is correct because it aligns the storage class with the access patterns of the logs: Standard for frequently accessed recent data, Nearline for occasional access, and Archive for rarely accessed compliance data. This minimizes costs by using cheaper storage for older data while maintaining performance for active analysis. Lifecycle rules automate the transition, ensuring no manual intervention is needed.
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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Last reviewed: Jun 30, 2026
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