A Legacy Web Application Stores Access Logs in a Proprietary

Multiple Choice

A legacy web application stores access logs in a proprietary text format. One of the security requirements is to search application access events and correlate them with access data from many different systems. These searches should be near-real time. Which solution offloads the processing load on the application server and provides a mechanism to search the data in near-real time?

A) Install the Amazon CloudWatch Logs agent on the application server and use CloudWatch Events rules to search logs for access events. Use Amazon CloudSearch as an interface to search for events.
B) Use the third-party file-input plugin Logstash to monitor the application log file, then use a custom dissect filter on the agent to parse the log entries into the JSON format. Output the events to Amazon ES to be searched. Use the Elasticsearch API for querying the data.
C) Upload the log files to Amazon S3 by using the S3 sync command. Use Amazon Athena to define the structure of the data as a table, with Athena SQL queries to search for access events. Upload the log files to Amazon S3 by using the S3 sync command. Use Amazon Athena to define the structure of the data as a table, with Athena SQL queries to search for access events.
D) Install the Amazon Kinesis Agent on the application server, configure it to monitor the log files, and send it to a Kinesis stream. Configure Kinesis to transform the data by using an AWS Lambda function, and forward events to Amazon ES for analysis. Use the Elasticsearch API for querying the data.