Amazon Web Services DOP-C02 Exam With Confidence Using Practice Dumps

Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs Insights query to populate CloudWatch metrics from the log lines. Specify response code and application version as dimensions for the metric.

Configure the ALB access logs to write to an Amazon CloudWatch Logs log group. Modify the Lambda function to respond to the ALB with the API operation name, response code, and version number as response metadata. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

Configure AWS X-Ray integration on the Lambda function. Modify the Lambda function to create an X-Ray subsegment with the API operation name, response code, and version number. Configure X-Ray insights to extract an aggregated metric for each API operation name and to publish the metric to Amazon CloudWatch. Specify response code and application version as dimensions for the metric.

Create an IAM service role to allow access to the resources that are required to run the tests.

Create a pipeline in AWS CodePipeline that has a test stage. Create a trigger to run the pipeline when pull requests are created or updated. Add a source action to report test results.

Create an AWS CodeBuild project to run the tests. Enable webhook triggers to run the tests when pull requests are created or updated. Enable build status reporting to report test results.

Create a buildspec.yml file that has a reports section to upload output files when the tests have finished running.

Create a buildspec.yml file that has an artifacts section to upload artifacts when the tests have finished running.

Create an appspec.yml file that has a files section to upload output files when the tests have finished running.

Create an Amazon OpenSearch Service cluster and an OpenSearch Service subscription filter to send the log group data to the cluster. Create a dashboard within the Dashboards feature in the OpenSearch Service cluster by using a search query for transactions that have a status of success.

Create a CloudWatch subscription filter for the log group that uses an AWS Lambda function. Configure the Lambda function to parse the JSON logs and publish a custom metric to CloudWatch for transactions that have a status of success. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.

Create a CloudWatch metric filter for the log groups with a filter pattern that matches the transaction status property and a value of success. Create a CloudWatch dashboard by using a metric graph that displays the new metric.

Create an Amazon Kinesis data stream that is subscribed to the log group. Configure the data stream to filter incoming log data based on a status of success and to send the filtered logs to an AWS Lambda function. Configure the Lambda function to publish a custom metric to CloudWatch. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.