- A
Use S3 access points in each account to grant access to the central bucket.
Why wrong: S3 access points do not eliminate the need for cross-account permissions.
- B
Use AWS Lake Formation to manage permissions to the central S3 bucket and allow Athena queries across accounts.
Lake Formation provides fine-grained access control and can be used with Athena for cross-account queries without copying data.
- C
Create an S3 interface endpoint in the logging account and share it with other accounts.
Why wrong: Interface endpoints provide private connectivity but do not grant access to the bucket.
- D
Copy logs to each account's own S3 bucket and run Athena queries locally.
Why wrong: Duplicating logs increases storage costs and complexity.
Quick Answer
The answer is to use AWS Lake Formation to manage permissions to the central S3 bucket and allow Athena queries across accounts. This configuration is correct because Lake Formation provides a centralized, fine-grained permissions model that enables cross-account access to the S3 data lake for Athena queries without duplicating data, directly integrating column- and row-level security with Athena and S3. On the AWS Certified Solutions Architect Professional SAP-C02 exam, this scenario tests your understanding of cost-effective centralized log analysis with Athena, where the common trap is to over-engineer with multiple S3 access points or data copies, increasing cost and complexity. The key insight is that Lake Formation acts as a single permission layer, avoiding the need to replicate logs across accounts while maintaining security. Memory tip: think "Lake Formation = one permission gate for all logs," eliminating duplicate data and access points.
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 multi-account strategy with a centralized logging account. All VPC Flow Logs and CloudTrail logs are sent to an S3 bucket in the logging account. The security team needs to analyze these logs using Amazon Athena. Which configuration provides the MOST cost-effective and secure access?
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
Use AWS Lake Formation to manage permissions to the central S3 bucket and allow Athena queries across accounts.
Option B is correct because AWS Lake Formation provides a centralized, fine-grained permissions model that allows the security team to grant cross-account access to the S3 data lake for Athena queries without duplicating data. It integrates directly with Athena and S3, enabling column- and row-level security while avoiding the cost and complexity of copying logs or managing multiple S3 access points.
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 S3 access points in each account to grant access to the central bucket.
Why it's wrong here
S3 access points do not eliminate the need for cross-account permissions.
- ✓
Use AWS Lake Formation to manage permissions to the central S3 bucket and allow Athena queries across accounts.
Why this is correct
Lake Formation provides fine-grained access control and can be used with Athena for cross-account queries without copying data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Create an S3 interface endpoint in the logging account and share it with other accounts.
Why it's wrong here
Interface endpoints provide private connectivity but do not grant access to the bucket.
- ✗
Copy logs to each account's own S3 bucket and run Athena queries locally.
Why it's wrong here
Duplicating logs increases storage costs and complexity.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume S3 access points or interface endpoints are sufficient for cross-account Athena queries, but they overlook that Athena requires a centralized metadata catalog and fine-grained permissions that only Lake Formation (or a combination of Glue Catalog and IAM) can provide cost-effectively.
Detailed technical explanation
How to think about this question
AWS Lake Formation uses a Data Catalog and resource links to register S3 locations and grant cross-account permissions via AWS RAM (Resource Access Manager). When Athena queries the centralized bucket, Lake Formation intercepts the request and applies fine-grained policies (e.g., column-level filtering) before allowing the query engine to access the data, all without requiring the data to leave the logging account. This approach also supports automatic encryption with KMS and audit logging via CloudTrail, ensuring compliance in multi-account environments.
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: Use AWS Lake Formation to manage permissions to the central S3 bucket and allow Athena queries across accounts. — Option B is correct because AWS Lake Formation provides a centralized, fine-grained permissions model that allows the security team to grant cross-account access to the S3 data lake for Athena queries without duplicating data. It integrates directly with Athena and S3, enabling column- and row-level security while avoiding the cost and complexity of copying logs or managing multiple S3 access points.
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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Same concept, more angles
1 more ways this is tested on SAP-C02
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. 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?
medium- A.Convert the logs to Parquet format using AWS Glue and store them in the same bucket.
- B.Use S3 lifecycle policies to transition logs to S3 Glacier after 7 days and query with Athena.
- ✓ C.Partition the S3 bucket by date (e.g., year/month/day) and use Athena partition projection.
- D.Use Athena with federated query to scan logs directly from the application accounts.
Why C: 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.
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Last reviewed: Jun 24, 2026
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