AWS SAA-C03 #157

A company stores data in an Amazon Aurora PostgreSQL DB cluster. The company must store all the data for 5 years and must delete all the data after 5 years. The company also must indefinitely keep audit logs of actions that are performed within the database. Currently, the company has automated backups configured for Aurora.

Which combination of steps should a solutions architect take to meet these requirements? (Choose two.)

A. Take a manual snapshot of the DB cluster.

B. Create a lifecycle policy for the automated backups.

C. Configure automated backup retention for 5 years.

D. Configure an Amazon CloudWatch Logs export for the DB cluster.

E. Use AWS Backup to take the backups and to keep the backups for 5 years.


I apologize for the confusion. Let's break down the requirements and the steps needed to meet them:

  1. Data Retention for 5 Years: The company needs to store all data for 5 years and delete all data after 5 years. This can be achieved by configuring automated backup retention for 5 years in Amazon Aurora PostgreSQL DB cluster¹. However, Amazon Aurora does not support automated backup retention for more than 35 days⁴. Therefore, you might need to consider other backup solutions such as AWS Backup or manual snapshots.

  2. Indefinite Audit Logs: The company needs to keep audit logs of actions performed within the database indefinitely. This can be achieved by using the PostgreSQL Audit extension (pgAudit) which is supported by Aurora PostgreSQL¹. You can also export the DB cluster logs to Amazon CloudWatch Logs¹ for indefinite storage and easy access².

Given these considerations, the correct steps would be:

E. Use AWS Backup to take the backups and to keep the backups for 5 years.

AWS Backup allows you to centralize and automate data protection across AWS services. You can create backup policies known as backup plans, which define when and how you want to back up your AWS resources such as your Amazon Aurora PostgreSQL DB cluster⁴.

D. Configure an Amazon CloudWatch Logs export for the DB cluster.

Exporting the DB cluster logs to Amazon CloudWatch Logs would allow the company to store and access log files indefinitely¹. This would help in keeping an audit trail of all actions performed within the database².

Please note that while option A (taking a manual snapshot of the DB cluster) could potentially be used as part of a backup strategy, it would not provide an automated solution for the 5-year retention requirement. Option B (creating a lifecycle policy for automated backups) is not applicable as Amazon Aurora does not support lifecycle policies for automated backups⁴.

相关推荐
Dawn-bit3 小时前
Linux磁盘分区与Swap和磁盘故障查询
linux·运维·服务器·网络·云计算
AAA@峥7 小时前
OpenStack Keystone 认证服务完整学习指南
服务器·云计算·openstack
Dawn-bit8 小时前
Linux日志处理三剑客之基础篇:(基础正则+扩展正则)
linux·运维·服务器·正则表达式·云计算·运维开发
小鸟你好啊1 天前
搭建基于 Solon AI 的 Streamable MCP 服务并部署至阿里云百炼
人工智能·阿里云·云计算
小鸟你好啊1 天前
基于阿里云RDS SQL Server + 函数计算 + 通义AI构建智能销售分析平台Demo
人工智能·阿里云·云计算
Akamai中国1 天前
为何弹性系统设计对云可靠性至关重要
人工智能·云计算·云服务
机器学习是魔鬼1 天前
TRL微调实战教程
云计算·矩池云
行业研究员1 天前
腾讯云数据库:团队知识统一检索实践
数据库·云计算·腾讯云·腾讯云数据库·团队知识
Juicedata1 天前
腾讯云 x JuiceFS:基于 FoundationDB 的企业级统一存储实践
数据库·人工智能·科技·云计算·腾讯云
国际云,接待1 天前
AWS RDS 备份与 PITR 恢复演练:从保留期、恢复命令到应用切换验证
运维·云计算·aws·灾难恢复·数据库备份·rds