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

A: If the ApproximateAgeOfOldestMessages indicate that orders are remaining in the SQS queue for longer than expected, the reserved concurrency limit may be set too small to keep up with the number of orders entering the queue and is being throttled. D: The DynamoDB table is using Auto Scaling. With Auto Scaling, you create a scaling policy that specifies whether you want to scale read capacity or write capacity (or both), and the minimum and maximum provisioned capacity unit settings for the table. The ThottledWriteRequests metric will indicate if there is a throttling issue on the DynamoDB table, which can be resolved by increasing the maximum write capacity units for the table ' s Auto Scaling policy.

Activate Amazon Macie on the Production S3 Bucket:

Macie can identify and protect sensitive data such as PII.

Create a Step Functions state machine to automate data discovery and redaction before copying it to the development environment.

Example Step Functions state machine:

{

" Comment " : " Anonymize PII and copy data " ,

" StartAt " : " MacieDiscoveryJob " ,

" States " : {

" MacieDiscoveryJob " : {

" Type " : " Task " ,

" Resource " : " arn:aws:states:::macie:startClassificationJob " ,

" End " : true

}

}

}

Create a Development Environment from CloudFormation Template:

Deploy the development environment in a new account using the existing CloudFormation template.

Schedule an EventBridge rule to start the Step Functions state machine on a weekly basis.

EventBridge rule example:

{

" ScheduleExpression " : " rate(7 days) " ,

" StateMachineArn " : " arn:aws:states: < region > : < account-id > :stateMachine:AnonymizeAndCopyData "

}

By using Macie for data anonymization and Step Functions for automation, you ensure PII is properly handled before data transfer between environments.

The requirement is not just to perform a one-time upgrade , but to ensure that Kubernetes and related components stay continuously within the AWS standard support window , with minimal ongoing effort. EKS Auto Mode is designed to reduce operational burden by managing cluster infrastructure, including control plane and data plane lifecycle, in a more automated fashion. When EKS Auto Mode is enabled and existing managed node groups are removed, EKS can manage compute capacity and associated upgrades in a more integrated, hands-off way, tracking supported versions automatically.

Option A ( aws eks update-cluster-version ) and Option C ( eksctl upgrade ) are both manual upgrade mechanisms. They can update clusters to a specific version but do not continuously ensure future upgrades as new supported versions are released; they require the DevOps team to schedule and execute each upgrade. Option D (IaC refactor) is generally a good practice but does not inherently provide automatic version lifecycle management; it also introduces significant upfront effort compared to enabling Auto Mode.

Thus, enabling EKS Auto Mode and deprecating manual managed node groups provides the least operational overhead for staying within the EKS-supported version schedule.