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

Create a repository in Amazon Elastic Container Registry (Amazon ECR). Add a lifecycle policy to the repository to expire images that have the matching tag after 15 days.

Create a repository in AWS CodeArtifact. Add a repository policy to the CodeArtifact repository to expire old assets that have the matching tag after 15 days.

Create a bucket in Amazon S3. Add a bucket lifecycle policy to expire old objects that have the matching tag after 15 days.

Create an EC2 Image Builder container recipe. Add a build component to expire the container that has the matching tag after 15 days.

Select anomaly detection as the threshold type. Set the anomaly detection threshold to 2. Set Datapoints to Alarm to 24 out of 24.

Select static as the threshold type. Set the threshold value to 2. Set Datapoints to Alarm to 24 out of 24.

Select anomaly detection as the threshold type. Set the anomaly detection threshold to 2. Set Datapoints to Alarm to 1 out of 24.

Select static as the threshold type. Set the threshold value to 2. Set Datapoints to Alarm to 1 out of 24.

Create an AWS Lambda function. Configure the Lambda function to publish a custom metric by using the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to publish the queue messages for each instance. Schedule an Amazon EventBridge rule to run the Lambda function every hour. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scal

Create an AWS Lambda function. Configure the Lambda function to publish a custom metric by using the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to publish the queue messages for each instance. Create a CloudWatch subscription filter for the application logs with the Lambda function as the target. Create a target tracking scaling policy for the Auto Scaling group that

Create a target tracking scaling policy for the Auto Scaling group. In the target tracking policy, use the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to calculate how many messages are in the queue for each number of instances by using metric math. Use the calculated attribute to scale in and out.

Create an AWS Lambda function that logs the ApproximateNumberOfMessagesVisible attribute of the SQS queue to a CloudWatch Logs log group. Schedule an Amazon EventBridge rule to run the Lambda function every 5 minutes. Create a metric filter to count the number of log events from a CloudWatch logs group. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scale in and out.