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Amazon Web Services DOP-C01 Exam With Confidence Using Practice Dumps

Exam Code:
DOP-C01
Exam Name:
AWS Certified DevOps Engineer - Professional
Certification:
Amazon Web Services Other Certification
Vendor:
Amazon Web Services
Questions:
272
Last Updated:
Jul 13, 2025
Exam Status:
Stable
Amazon Web Services DOP-C01

DOP-C01: Amazon Web Services Other Certification Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified DevOps Engineer - Professional Questions and Answers

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Question 1

A company uses AWS KMS with CMKs and manual key rotation to meet regulatory compliance requirements. The security team wants to be notified when any keys have not been rotated after 90 days.

Which solution will accomplish this?

Options:

A.

Configure AWS KMS to publish to an Amazon SNS topic when keys are more than 90 days old.

B.

Configure an Amazon CloudWatch Events event to launch an AWS Lambda function to call the AWS Trusted Advisor API and publish to an Amazon SNS topic

C.

Develop an AWS Config custom rule that publishes to an Amazon SNS topic when keys are more than 90 days old

D.

Configure AWS Security Hub to publish to an Amazon SNS topic when keys are more than 90 days old.

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Question 2

A healthcare provider has a hybrid architecture that includes 120 on-premises VMware servers running RedHat and 50 Amazon EC2 instances running Amazon

Linux. The company is in the middle of an all-in migration to AWS and wants to implement a solution for collecting information from the on-premises virtual machines and the EC2 instances for data analysis. The information includes:

- Operating system type and version

- Data for installed applications

- Network configuration information, such as MAC and IP addresses

- Amazon EC2 instance AMI ID and IAM profile

How can these requirements be met with the LEAST amount of administration?

Options:

A.

Write a shell script to run as a cron job on EC2 instances to collect and push the data to Amazon S3. For on-premises resources, use VMware vSphere to collect the data and write it into a file gateway for storing the data in S3. Finally, use Amazon Athena on the S3 bucket for analytics.

B.

Use a script on the on-premises virtual machines as well as the EC2 instances to gather and push the data into Amazon S3, and then use Amazon Athena for analytics.

C.

Install AWS Systems Manager agents on both the on-premises virtual machines and the EC2 instances. Enable inventory collection and configure resource data sync to an Amazon S3 bucket to analyze the data with Amazon Athena.

D.

Use AWS Application Discovery Service for deploying Agentless Discovery Connector in the VMware environment and Discovery Agents on the EC2 instances for collecting the data. Then use the AWS Migration Hub Dashboard for analytics.

Question 3

A DevOps Engineer needs to deploy a scalable three-tier Node.js application in AWS. The application must have zero downtime during deployments and be able to roll back to previous versions. Other applications will also connect to the same MySQL backend database.

The CIO has provided the following guidance for logging:

*Centrally view all current web access server logs.

*Search and filter web and application logs in near-real time.

*Retain log data for three months.

How should these requirements be met?

Options:

A.

Deploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic Load Balancing and Auto Scaling. Create an Amazon RDS MySQL instance inside the Elastic Beanstalk stack. Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days.

B.

Deploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an Amazon RDS MySQL instance for the database tier. Configure the application to store log files in Amazon S3. Use Amazon EMR to search and filter the data. Set an Amazon S3 lifecycle rule to expire objects after 90 days.

C.

Deploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic Load Balancing and Auto Scaling. Create the Amazon RDS MySQL instance outside the Elastic Beanstalk stack. Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days.

D.

Deploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an Amazon RDS MySQL instance for the database tier. Configure the application to load streaming log data using Amazon Kinesis Data Firehouse into Amazon ES. Delete and create a new Amazon ES domain every 90 days.

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