Free Top Amazon/AWS DEA-C01 Actual Exam Questions - Question 3 Discussion
application on an Amazon Elastic Kubernetes Services (Amazon EKS) cluster.
The company wants to set up a robust monitoring system for the application. The company needs to
analyze the logs from the EKS cluster and the application. The company needs to correlate the
cluster's logs with the application's traces to identify points of failure in the whole application
request flow.
Which combination of steps will meet these requirements with the LEAST development effort?
(Select TWO.)
D, because OpenSearch is built for log and trace correlation with minimal extra setup.
Option A is solid because FluentBit and OpenTelemetry are designed to work seamlessly for logs and traces collection in Kubernetes environments, minimizing custom development. For correlating those logs and traces, option D makes the most sense—Amazon OpenSearch can index both data types and supports search queries that help identify failure points across the request flow. The other options either complicate trace collection or add unnecessary processing layers. Using OpenSearch directly for analysis also avoids spinning up extra ETL processes like with Glue, so A and D together meet the requi
Maybe A and D. FluentBit and OpenTelemetry are pretty standard for logging and tracing, and OpenSearch is built to correlate that kind of data without heavy customization. Glue seems like too much work here.
A/D for sure. FluentBit and OpenTelemetry integrate well without much dev work, and OpenSearch is perfect for correlation.
I'm leaning towards A and D. FluentBit with OpenTelemetry is a common combo for logs and traces collection with minimal setup, and OpenSearch can help correlate them effectively. Anyone else think AWS Glue is overkill here?