- A
Convert the logs to Parquet format using AWS Glue and store them in the same bucket.
Why wrong: Parquet is good but partitioning is more impactful for recent data.
- B
Use S3 lifecycle policies to transition logs to S3 Glacier after 7 days and query with Athena.
Why wrong: Glacier is not directly queryable by Athena.
- C
Partition the S3 bucket by date (e.g., year/month/day) and use Athena partition projection.
Correct: Partitioning reduces data scanned.
- D
Use Athena with federated query to scan logs directly from the application accounts.
Why wrong: Cross-account queries add complexity and latency.
SAP-C02 Practice Question: Design Solutions for Organizational Complexity
This SAP-C02 practice question tests your understanding of design solutions for organizational complexity. 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 has a centralized logging account and multiple application accounts. All VPC Flow Logs are sent to a central S3 bucket in the logging account. The security team needs to analyze the logs using Amazon Athena. The team must ensure queries are cost-effective and return results quickly for recent logs. Which configuration should be used?
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
Partition the S3 bucket by date (e.g., year/month/day) and use Athena partition projection.
Option C is correct because partitioning the S3 bucket by date (e.g., year/month/day) and using Athena partition projection allows Athena to automatically discover and prune partitions without manual metadata management. This reduces the amount of data scanned per query, lowering costs and improving query speed for recent logs. Partition projection is serverless and eliminates the need for Glue crawlers or Hive-style partition loading, making it ideal for time-series data like VPC Flow Logs.
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.
- ✗
Convert the logs to Parquet format using AWS Glue and store them in the same bucket.
Why it's wrong here
Parquet is good but partitioning is more impactful for recent data.
- ✗
Use S3 lifecycle policies to transition logs to S3 Glacier after 7 days and query with Athena.
Why it's wrong here
Glacier is not directly queryable by Athena.
- ✓
Partition the S3 bucket by date (e.g., year/month/day) and use Athena partition projection.
Why this is correct
Correct: Partitioning reduces data scanned.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Athena with federated query to scan logs directly from the application accounts.
Why it's wrong here
Cross-account queries add complexity and latency.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Athena’s ability to query compressed formats (like Parquet) with the need for partitioning, or mistakenly believe that S3 Glacier can be queried by Athena, when in fact Athena requires objects to be in S3 Standard, Intelligent-Tiering, or Glacier Instant Retrieval (not Glacier or Glacier Deep Archive).
Detailed technical explanation
How to think about this question
Athena partition projection works by defining partition patterns (e.g., `year=YYYY/month=MM/day=DD`) in the table DDL, allowing Athena to compute partition locations at query time without scanning the S3 bucket’s metadata. This eliminates the cost and latency of Glue crawlers or manual partition addition. For VPC Flow Logs, which are often ingested in near-real-time, partition projection ensures that queries filtering on recent dates only scan the relevant prefixes, keeping data scanned to a minimum and costs predictable.
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.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this SAP-C02 question test?
Design Solutions for Organizational Complexity — This question tests Design Solutions for Organizational Complexity — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Partition the S3 bucket by date (e.g., year/month/day) and use Athena partition projection. — Option C is correct because partitioning the S3 bucket by date (e.g., year/month/day) and using Athena partition projection allows Athena to automatically discover and prune partitions without manual metadata management. This reduces the amount of data scanned per query, lowering costs and improving query speed for recent logs. Partition projection is serverless and eliminates the need for Glue crawlers or Hive-style partition loading, making it ideal for time-series data like VPC Flow Logs.
What should I do if I get this SAP-C02 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 11, 2026
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