DVA-C02 · Question #88
A company runs an application on AWS. The company deployed the application on Amazon EC2 instances. The application stores data on Amazon Aurora. The application recently logged multiple…
The correct answer is C. Use Amazon CloudWatch Logs to create a metric filter that has a filter pattern for. CloudWatch Logs can use filter expressions. For example, find a specific IP inside of a log Or count occurrences of "ERROR" in your logs - Metric filters can be used to trigger CloudWatch
Question
A company runs an application on AWS. The company deployed the application on Amazon EC2 instances. The application stores data on Amazon Aurora. The application recently logged multiple application-specific custom DECRYP_ERROR errors to Amazon CloudWatch logs. The company did not detect the issue until the automated tests that run every 30 minutes failed. A developer must implement a solution that will monitor for the custom errors and alert a development team in real time when these errors occur in the production environment. Which solution will meet these requirements with the LEAST operational overhead?
Options
- AConfigure the application to create a custom metric and to push the metric to CloudWatch. Create
- BCreate an AWS Lambda function to run every 5 minutes to scan the CloudWatch logs for the
- CUse Amazon CloudWatch Logs to create a metric filter that has a filter pattern for
- DInstall the CloudWatch unified agent on the EC2 instance. Configure the application to generate a
How the community answered
(38 responses)- A8% (3)
- B18% (7)
- C71% (27)
- D3% (1)
Explanation
CloudWatch Logs can use filter expressions. For example, find a specific IP inside of a log Or count occurrences of "ERROR" in your logs - Metric filters can be used to trigger CloudWatch
Community Discussion
No community discussion yet for this question.