A travel company uses Amazon SES to send email notifications and must enable logging to troubleshoot delivery problems. The company also needs to support searches by recipient, subject, and time sent. Which combination of steps should a solutions architect implement? (Choose two.)
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Correct answer: Create an Amazon SES configuration set that uses Amazon Kinesis Data Firehose as the destination, and configure Firehose to deliver logs to an Amazon S3 bucket., Use Amazon Athena to query the logs stored in Amazon S3 for recipient, subject, and time sent..
Why this is the answer
To enable logging for Amazon SES and support searching by recipient, subject, and time sent, the best approach involves using an SES configuration set with Kinesis Data Firehose and Amazon S3, then querying with Amazon Athena. Creating an Amazon SES configuration set that uses Amazon Kinesis Data Firehose as the destination and configuring Firehose to deliver logs to an Amazon S3 bucket is the correct way to capture detailed SES delivery events. This setup provides a robust and scalable logging solution. Using Amazon Athena to query the logs stored in Amazon S3 for recipient, subject, and time sent is the ideal solution for analyzing the collected data. Athena allows you to run SQL queries directly on data in S3 without needing to load it into a database, making it efficient for ad-hoc analysis. Enabling AWS CloudTrail would log API calls made to SES, not the email delivery events themselves. Creating an Amazon CloudWatch Logs log group and configuring SES to send logs there is an option for logging, but querying specific fields like recipient and subject directly within CloudWatch Logs can be less efficient and more complex than using Athena on S3. Using Athena to query logs in CloudWatch Logs is not a direct or efficient pattern; Athena is primarily designed for S3.
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