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
Tab6098 小时前
智能家居接入Alexa App和语音平台
智能家居·aws
@HNUSTer8 小时前
基于 GEE 利用多波段合成的方法高效处理并下载数据——以 MODIS 潜热通量(LE)年均值数据产品下载为例
云计算·数据集·遥感大数据·gee·云平台·modis·潜热通量(le)
weixin_3077791318 小时前
在AWS上构建类Manus的生产级AI Agent服务
运维·人工智能·云计算·aws·agi
bluetata18 小时前
申请 AWS Community Builder 详细指南
云计算·aws
忍冬行者1 天前
Elasticsearch 超大日志流量集群搭建(网关 + 独立 Master + 独立 Data 纯生产架构,角色完全分离,百万级日志吞吐)
大数据·elasticsearch·云原生·架构·云计算
观测云1 天前
AWS Lambda Python 应用可观测最佳实践(DDTrace)
python·云计算·aws
Ydwlcloud1 天前
AWS 2026折扣活动深度解析:寻找最大优惠的智慧路径
大数据·服务器·人工智能·云计算·aws
曹天骄1 天前
Cloudflare Worker vs 阿里云 DCND:回源次数、链路结构与真实性能对比
运维·阿里云·云计算
翼龙云_cloud1 天前
亚马逊云渠道商:AWS EC2 实战案例解析
服务器·云计算·aws
gaize12132 天前
阿里云服务器用途配置选购指南与最新价格表
服务器·阿里云·云计算