Answer: Store the logs in Amazon S3. Use S3 Lifecycle policies to move logs more than 1 month old to S3 Glacier Deep Archive.

## Explanation **Correct Answer: B** **Why Option B is correct:** 1. **Amazon S3 is the most cost-effective storage** for large volumes of logs (10+ TB per month) 2. **S3 Lifecycle policies** provide automated, cost-effective tiering to S3 Glacier Deep Archive 3. **S3 Glacier Deep Archive** is specifically designed for long-term retention (10 years) with very low storage costs 4. **Direct S3 integration** with Lifecycle policies eliminates the need for additional services like AWS Backup **Why other options are incorrect:** - **Option A**: AWS Backup is designed for backup and recovery operations, not for automated lifecycle management of log files. It adds unnecessary complexity and cost. - **Option C & D**: Amazon CloudWatch Logs is not cost-effective for storing 10+ TB of logs per month. CloudWatch Logs is optimized for real-time log analysis and monitoring, not for long-term archival storage at this scale. **Key considerations:** - **Cost optimization**: S3 Standard for frequently accessed recent logs (past month) + S3 Glacier Deep Archive for long-term retention - **Automation**: S3 Lifecycle policies automatically transition objects based on age - **Scalability**: S3 can handle massive volumes of data (10+ TB/month) - **Compliance**: 10-year retention requirement is well-suited for S3 Glacier Deep Archive - **Access patterns**: Recent logs (≤1 month) in S3 Standard for troubleshooting, older logs in Glacier Deep Archive for rare access **Best practice implementation:** 1. Store logs directly in Amazon S3 2. Configure S3 Lifecycle policy to transition objects to Glacier Deep Archive after 30 days 3. Use S3 Intelligent-Tiering for recent logs if access patterns are unpredictable 4. Consider S3 Glacier Deep Archive retrieval options based on access frequency of older logs

Author: LeetQuiz Editorial Team