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Question 653 - SAA-C03 discussion

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An ecommerce company runs applications in AWS accounts that are part of an organization in AWS Organizations The applications run on Amazon Aurora PostgreSQL databases across all the accounts The company needs to prevent malicious activity and must identify abnormal failed and incomplete login attempts to the databases

Which solution will meet these requirements in the MOST operationally efficient way?

A.
Attach service control policies (SCPs) to the root of the organization to identify the failed login attempts
Answers
A.
Attach service control policies (SCPs) to the root of the organization to identify the failed login attempts
B.
Enable the Amazon RDS Protection feature in Amazon GuardDuty for the member accounts of the organization
Answers
B.
Enable the Amazon RDS Protection feature in Amazon GuardDuty for the member accounts of the organization
C.
Publish the Aurora general logs to a log group in Amazon CloudWatch Logs Export the log data to a central Amazon S3 bucket
Answers
C.
Publish the Aurora general logs to a log group in Amazon CloudWatch Logs Export the log data to a central Amazon S3 bucket
D.
Publish all the Aurora PostgreSQL database events in AWS CloudTrail to a central Amazon S3 bucket
Answers
D.
Publish all the Aurora PostgreSQL database events in AWS CloudTrail to a central Amazon S3 bucket
Suggested answer: C

Explanation:

This option is the most operationally efficient way to meet the requirements because it allows the company to monitor and analyze the database login activity across all the accounts in the organization. By publishing the Aurora general logs to a log group in Amazon CloudWatch Logs, the company can enable the logging of the database connections, disconnections, and failed authentication attempts. By exporting the log data to a central Amazon S3 bucket, the company can store the log data in a durable and cost-effective way and use other AWS services or tools to perform further analysis or alerting on the log data. For example, the company can use Amazon Athena to query the log data in Amazon S3, or use Amazon SNS to send notifications based on the log data.

A) Attach service control policies (SCPs) to the root of the organization to identify the failed login attempts. This option is not effective because SCPs are not designed to identify the failed login attempts, but to restrict the actions that the users and roles can perform in the member accounts of the organization. SCPs are applied to the AWS API calls, not to the database login attempts. Moreover, SCPs do not provide any logging or analysis capabilities for the database activity.

B) Enable the Amazon RDS Protection feature in Amazon GuardDuty for the member accounts of the organization. This option is not optimal because the Amazon RDS Protection feature in Amazon GuardDuty is not available for Aurora PostgreSQL databases, but only for Amazon RDS for MySQL and Amazon RDS for MariaDB databases. Moreover, the Amazon RDS Protection feature does not monitor the database login attempts, but the network and API activity related to the RDS instances.

D) Publish all the Aurora PostgreSQL database events in AWS CloudTrail to a central Amazon S3 bucket. This option is not sufficient because AWS CloudTrail does not capture the database login attempts, but only the AWS API calls made by or on behalf of the Aurora PostgreSQL database. For example, AWS CloudTrail can record the events such as creating, modifying, or deleting the database instances, clusters, or snapshots, but not the events such as connecting, disconnecting, or failing to authenticate to the database.

1Working with Amazon Aurora PostgreSQL - Amazon Aurora

2Working with log groups and log streams - Amazon CloudWatch Logs

3Exporting Log Data to Amazon S3 - Amazon CloudWatch Logs

[4] Amazon GuardDuty FAQs

[5] Logging Amazon RDS API Calls with AWS CloudTrail - Amazon Relational Database Service

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asked 16/09/2024
Kabi Bashala
32 questions
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