SAA-C03 · Question #202
A company runs a critical public application on Amazon Elastic Kubernetes Service (Amazon EKS) clusters. The application has a microservices architecture. The company needs to implement a solution tha
The correct answer is D. Configure Amazon CloudWatch Container Insights in the existing EKS cluster. Use a CloudWatch. Amazon CloudWatch Container Insightsis designed for monitoring containerized environments like EKS. It provides native support for collecting and visualizing metrics and logs in a centralized location through CloudWatch dashboards, offering the most operationally efficient soluti
Question
A company runs a critical public application on Amazon Elastic Kubernetes Service (Amazon EKS) clusters. The application has a microservices architecture. The company needs to implement a solution that collects, aggregates, and summarizes metrics and logs from the application in a centralized location. Which solution will meet these requirements in the MOST operationally efficient way?
Options
- ARun the Amazon CloudWatch agent in the existing EKS cluster. Use a CloudWatch dashboard to
- BConfigure a data stream in Amazon Kinesis Data Streams. Use Amazon Kinesis Data Firehose to
- CConfigure AWS CloudTrail to capture data events. Use Amazon OpenSearch Service to query
- DConfigure Amazon CloudWatch Container Insights in the existing EKS cluster. Use a CloudWatch
How the community answered
(37 responses)- A5% (2)
- B5% (2)
- C14% (5)
- D76% (28)
Explanation
Amazon CloudWatch Container Insightsis designed for monitoring containerized environments like EKS. It provides native support for collecting and visualizing metrics and logs in a centralized location through CloudWatch dashboards, offering the most operationally efficient solution. Option A: Using the CloudWatch agent provides basic metrics but lacks the specific insights required for containerized applications. Option B: Kinesis Data Streams and Firehose add unnecessary complexity for this use case. Option C: CloudTrail is for auditing API activity and is not designed for application metrics and log
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