A video-sharing company stores its videos in an Amazon S3 bucket. The company must analyze user-access patterns, such as the number of users who access a particular video each month.
Which solution meets these requirements with the **LEAST** development effort?
A Enable Amazon S3 server access logging. Load the access logs into an Amazon Aurora database. Run SQL queries on the Aurora database to analyze the user access patterns. B Enable Amazon S3 server access logging. Use Amazon Athena to create an external table that contains the access logs. Run SQL queries on the Athena table to analyze the user access patterns. C Invoke an AWS Lambda function for every S3 object access event. Configure the Lambda function to write the file access information, including user ID, S3 bucket ID, and file key, to an Amazon Aurora database. Run SQL queries on the Aurora database to analyze the user access patterns. D Record a log message in Amazon CloudWatch Logs for every S3 object access event. Configure a log stream in CloudWatch Logs to write the file access information, including user ID, S3 bucket ID, and file key, to an Amazon Managed Service for Apache Flink application. Perform a sliding window analysis on the user access patterns.