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

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AWS Certified DevOps Engineer - Professional Questions and Answers

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Question 1

A DevOps engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2 Auto Scaling, is configured to perform in-place deployments with codeDeployDefault.oneAtATime During an ongoing new deployment, the engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision

What is likely causing this issue?

Options:

A.

The two affected instances failed to fetch the new deployment.

B.

A failed Afterinstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances

C.

The CodeDeploy agent was not installed in two affected instances.

D.

EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.

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Question 2

A company uses AWS Organizations with CloudTrail trusted access. All events across accounts and Regions must be logged and retained in an audit account, and failed login attempts should trigger real-time notifications.

Which solution meets these requirements?

Options:

A.

Publish CloudTrail logs to S3 in the audit account. Create an EventBridge rule for failed login events and notify via SNS.

B.

Store logs in the management account and query using Athena + Lambda every 5 minutes.

C.

Store logs in audit S3 + CloudWatch log group in management account + metric filter for failed logins → SNS.

D.

Stream to Kinesis → Flink → SNS.

Question 3

A company uses AWS WAF to protect its cloud infrastructure. A DevOps engineer needs to give an operations team the ability to analyze log messages from AWS WAR. The operations team needs to be able to create alarms for specific patterns in the log output.

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

Options:

A.

Create an Amazon CloudWatch Logs log group. Configure the appropriate AWS WAF web ACL to send log messages to the log group. Instruct the operations team to create CloudWatch metric filters.

B.

Create an Amazon OpenSearch Service cluster and appropriate indexes. Configure an Amazon Kinesis Data Firehose delivery stream to stream log data to the indexes. Use OpenSearch Dashboards to create filters and widgets.

C.

Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Instruct the operations team to create AWS Lambda functions that detect each desired log message pattern. Configure the Lambda functions to publish to an Amazon Simple Notification Service (Amazon SNS) topic.

D.

Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Use Amazon Athena to create an external table definition that fits the log message pattern. Instruct the operations team to write SOL queries and to create Amazon CloudWatch metric filters for the Athena queries.

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