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

This solution will meet the requirements in the most operationally efficient manner because it will use CloudWatch Logs destination to aggregate the log groups from all the accounts to a single S3 bucket in the logging account. However, unlike option A, this solution will create a CloudWatch Logs destination for each region, instead of a single destination for all regions. This will improve the performance and reliability of the log delivery, as it will avoid cross-region data transfer and latency issues. Moreover, this solution will use an Amazon Kinesis data stream and an Amazon Kinesis Data Firehose delivery stream for each region, instead of a single stream for all regions. This will also improve the scalability and throughput of the log delivery, as it will avoid bottlenecks and throttling issues that may occur with a single stream.

The core problem described is deployment inconsistency and lack of reliability caused by using AWS Systems Manager Run Command for application deployment. Run Command executes ad hoc commands and does not provide deployment orchestration, version tracking, lifecycle hooks, or health-based traffic control, which commonly leads to drift between EC2 instances.

The most reliable AWS-native solution is to adopt AWS CodePipeline combined with AWS CodeDeploy . Option B introduces a structured CI/CD pipeline with a clear build stage followed by a test stage , ensuring that only tested artifacts progress to deployment. Sequential build and test stages are preferred for reliability and deterministic behavior, especially when test results must gate deployments.

Option C is essential because AWS CodeDeploy is the service specifically designed to deploy application revisions consistently across EC2 fleets. By creating a CodeDeploy application and deployment group and integrating it with the ALB, deployments gain support for lifecycle events, health checks, instance synchronization, and automatic rollback. This ensures that all EC2 instances receive the same application version and that traffic is managed safely during deployments.

Option A introduces unnecessary parallelism that does not address the core issue. Option D adds excessive complexity with Lambda orchestration. Option E incorrectly replaces CodeArtifact with S3 without addressing deployment reliability.

Therefore, combining CodePipeline (B) with CodeDeploy and ALB integration (C) provides consistent, repeatable, and reliable deployments aligned with AWS best practices.

Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:

The requirement is to log and analyze Kubernetes control plane activity, including API requests, and to monitor container performance on the worker nodes with the least operational overhead.

Option B is correct because:

Amazon EKS control plane logging can send control plane logs, including API server logs, to Amazon CloudWatch.

CloudWatch Container Insights provides monitoring and performance visibility for containers, pods, nodes, and clusters.

CloudWatch Logs Insights can be used to query and analyze both control plane and node-related logs.

This is the most managed and lowest-overhead solution among the options.

Why the other options are incorrect:

A. CloudTrail is not the primary solution for Kubernetes control plane logs such as API server logs, and deploying Logstash increases operational overhead significantly.

C. Sending logs to Amazon S3 and analyzing them with Athena and QuickSight is more operationally complex and less direct than using native CloudWatch integrations.

D. AWS Distro for OpenTelemetry with Firehose and Redshift adds substantial complexity and operational overhead compared to native EKS and CloudWatch capabilities.