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DOP-C02 Exam Dumps - AWS Certified DevOps Engineer - Professional

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Question # 129

A company is running an application on Amazon Elastic Kubernetes Service (Amazon EKS). The company needs to implement comprehensive logging for the control plane and the nodes. The company must analyze API requests to the Kubernetes control plane and must monitor container performance on the nodes.

Which solution will meet these requirements with the LEAST operational overhead?

A.

Enable AWS CloudTrail for control plane logging. Deploy Logstash as a ReplicaSet on the nodes to collect logs from the nodes. Use Amazon OpenSearch to store and analyze the logs for the control plane and the nodes.

B.

Enable control plane logging for the EKS cluster. Send the logs to Amazon CloudWatch. Use CloudWatch Container Insights to collect logs for the nodes and the containers. Use CloudWatch Logs Insights to query and analyze the logs for the control plane and the nodes.

C.

Enable API server control plane logging for the EKS cluster. Send the logs to Amazon S3. Deploy Kubernetes Event Exporter to the nodes to collect logs from the nodes. Send the logs to Amazon S3. Use Amazon Athena to query logs for the control plane and the nodes. Use Amazon QuickSight for visualization.

D.

Use AWS Distro for OpenTelemetry to collect logs for the control plane and the nodes. Stream all the logs to Amazon Data Firehose. Use Amazon Redshift to analyze the aggregated log data for the control plane and the nodes.

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Question # 130

A company ' s application runs on Amazon EC2 instances. The application writes to a log file that records the username, date, time: and source IP address of the login. The log is published to a log group in Amazon CloudWatch Logs

The company is performing a root cause analysis for an event that occurred on the previous day The company needs to know the number of logins for a specific user from the past 7 days

Which solution will provide this information ' ?

A.

Create a CloudWatch Logs metric filter on the log group Use a filter pattern that matches the username. Publish a CloudWatch metric that sums the number of logins over the past 7 days.

B.

Create a CloudWatch Logs subscription on the log group Use a filter pattern that matches the username Publish a CloudWatch metric that sums the number of logins over the past 7 days

C.

Create a CloudWatch Logs Insights query that uses an aggregation function to count the number of logins for the username over the past 7 days. Run the query against the log group

D.

Create a CloudWatch dashboard. Add a number widget that has a filter pattern that counts the number of logins for the username over the past 7 days directly from the log group

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