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Amazon DOP-C02 Exam Overview:

Certification Vendor:Amazon Web Services (AWS)
Exam Name:AWS Certified DevOps Engineer - Professional (DOP-C02)
Exam Number:DOP-C02
Available Languages:English, Korean, Japanese, Simplified Chinese
Real Exam Qty:Approximately 65–75
Certificate Validity Period:3 years
Exam Duration:180 minutes
Exam Price:$300 USD
Exam Format:Multiple response, Multiple choice
Related Certifications:AWS Certified Solutions Architect – Associate
AWS Certified SysOps Administrator – Associate
AWS Certified Solutions Architect – Professional
AWS Certified Developer – Associate
Passing Score:750 (scaled score out of 1000)
Recommended Training:AWS Training and Certification Official Courses
AWS Skill Builder - DevOps Engineer Professional
Exam Registration:AWS Certification Registration Portal
Pearson VUE AWS Exams
Sample Questions:Amazon DOP-C02 Sample Questions
Exam Way:Online proctored exam or testing center (Pearson VUE)
Pre Condition:No formal prerequisites required. AWS recommends 2+ years of experience provisioning, operating, and managing AWS environments and 1+ years of experience automating AWS workloads.
Official Syllabus URL:https://aws.amazon.com/certification/certified-devops-engineer-professional/

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The Platform AWS Certified DevOps Engineer - Professional DOP-C02 Exam credential makes it simple to renew your skills and knowledge to keep up with the latest trends. The Platform AWS Certified DevOps Engineer - Professional DOP-C02 exam certification is a worthwhile, internationally accepted industry credential. You can become a recognized specialist in addition to learning new technological needs and honing your abilities.

Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Certification Exam is a highly sought-after certification for professionals who are looking to validate their skills and knowledge in the field of DevOps. AWS Certified DevOps Engineer - Professional certification exam is designed to test the candidate's proficiency in deploying, managing, and operating highly available, scalable, and fault-tolerant systems on the AWS cloud platform.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q219-Q224):

NEW QUESTION # 219
A company is using AWS CodeDeploy to deploy an application to Amazon EC2 instances in an Auto Scaling group. The company configures the Auto Scaling group by using an EC2 launch template that references a custom AMI that has the CodeDeploy agent installed. The company updates the AMI weekly, and all EC2 instances are replaced with new instances that are launched from the updated AMI. The company requires each EC2 instance to be tagged with an application tag that identifies the application that is deployed on the instance. Currently, the company manually tags the EC2 instances.
To deploy the application, the company creates a CodeDeploy application and a deployment group. The company sets a custom resource tag in the deployment group and configures the deployment group to target the Auto Scaling group. The company must ensure that each instance in the Auto Scaling group is tagged with the appropriate application tag.
Which solution will meet this requirement?

Answer: B

Explanation:
The required tag must be applied to every EC2 instance launched by the Auto Scaling group. The cleanest solution is to place the tag specification in the EC2 launch template with ResourceType set to instance, then update the Auto Scaling group to the new launch template version and perform an instance refresh so existing capacity is replaced. AWS CloudFormation documentation for EC2 launch template tag specifications states that tags are applied to resources created during instance launch and that valid resource types include instance, volume, network-interface, and spot-instances-request. CodeDeploy deployment groups identify deployment targets but are not the right mechanism to tag every future instance. Tagging the AMI also does not guarantee that launched EC2 instances inherit the required application tag.


NEW QUESTION # 220
A company uses Amazon Elastic Container Service (Amazon ECS) with an Amazon EC2 launch type. The company requires all log data to be centralized on Amazon CloudWatch. The company's ECS tasks include a LogConfiguration object that specifies a value of awslogs for the log driver name.
The company's ECS tasks failed to deploy. An error message indicates that a missing permission causes the failure. The company confirmed that the IAM role used to launch container instances includes the logs:
CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents permissions.
Which solution will fix the problem?

Answer: B

Explanation:
When using the awslogs log driver with ECS on EC2, the ECS agent running on the container instance uses the instance's IAM role (container instance role or task execution role, depending on configuration) to write logs to CloudWatch Logs. The policy already grants logs:CreateLogGroup, logs:CreateLogStream, and logs:
PutLogEvents, which are the required CloudWatch Logs actions. However, for the role to be usable by ECS, the role's trust policy must allow the appropriate service principal to assume it.
In this question, the error message indicates "missing permission" during ECS task deployment. If the IAM role is not trusted by the ECS service (for example, ecs-tasks.amazonaws.com for a task execution role or the proper principal for container instances), ECS cannot assume that role and therefore cannot use the granted CloudWatch permissions, causing deployment failures.
Option A addresses this by adding a trust relationship so that Amazon ECS can assume the IAM role. Options B and C mutate the permissions but do not fix the underlying problem: the missing trust. Option D incorrectly attempts to trust CloudWatch, which does not assume roles in this context.
Thus, adding a trust policy that establishes ECS as a trusted service is the correct fix.


NEW QUESTION # 221
A company runs an application on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster in the company's primary AWS Region and secondary Region. The company uses Auto Scaling groups to distribute each EKS cluster's worker nodes across multiple Availability Zones. Both EKS clusters also have an Application Load Balancer (ALB) to distribute incoming traffic.
The company wants to deploy a new stateless application to its infrastructure. The company requires a multi- Region, fault tolerant solution.
Which solution will meet these requirements?

Answer: B

Explanation:
The requirement is to deploy a stateless application with multi-Region fault tolerance, ensuring high availability even if an entire AWS Region becomes unavailable. For this design, traffic must be actively served from both Regions, not only during a failure event.
Option C correctly implements an active-active, multi-Region architecture. By deploying the application to both EKS clusters, each Region is capable of serving traffic independently. Using Amazon Route 53 weighted routing, traffic is distributed across both Application Load Balancers, allowing both Regions to handle requests simultaneously. If one Region becomes unhealthy, Route 53 health checks can stop routing traffic to that Region, maintaining availability.
Implementing Kubernetes readiness and liveness probes ensures that traffic is only sent to healthy pods within each cluster. This provides fault tolerance at both the container level (pod health) and the Regional level (Route 53 routing).
Option A uses a failover routing policy, which results in an active-passive design. While fault tolerant, it does not utilize both Regions simultaneously and provides slower recovery during Region failure. Options B and D deploy the application only in the primary Region, which does not meet multi-Region fault tolerance requirements.
Therefore, Option C delivers the most resilient, highly available, and AWS-recommended architecture for a stateless, multi-Region EKS application.


NEW QUESTION # 222
A DevOps engineer must implement a solution that immediately terminates Amazon EC2 instances in Auto Scaling groups when cryptocurrency mining activity is detected.
Which solution will meet these requirements with the LEAST development effort?

Answer: A

Explanation:
The requirement is to immediately detect and terminate EC2 instances involved in cryptocurrency mining with the least development effort. Amazon GuardDuty is the AWS-native service specifically designed to detect malicious activities such as crypto-mining by continuously analyzing CloudTrail events, VPC Flow Logs, and DNS logs. GuardDuty includes managed threat intelligence and predefined findings like CryptoCurrency:EC2/BitcoinTool.B!DNS and CryptoCurrency:EC2/BitcoinTool.B!IP, which directly identify mining behavior without custom detection logic.
Option C leverages this built-in capability. Once GuardDuty is enabled, findings are automatically generated when mining activity is detected. These findings are sent to Amazon EventBridge in near real time. An EventBridge rule can filter for cryptocurrency-related findings and trigger an AWS Lambda function. The Lambda function can then identify the affected EC2 instance and terminate it or adjust the Auto Scaling group to replace it. This approach requires minimal custom code and no log parsing, scheduled jobs, or analytics pipelines.
Options A and B rely on custom log analysis, periodic execution, and maintaining lists of mining domains or IPs, which significantly increases complexity and response time. Option D uses AWS Security Hub, which aggregates findings from GuardDuty and other services but is not intended for immediate, low-latency remediation.
Therefore, Option C provides the fastest detection, immediate response, and lowest development overhead using AWS-managed threat detection services.


NEW QUESTION # 223
A DevOps engineer manages an AWS CodePipeline pipeline that builds and deploys a web application on AWS. The pipeline has a source stage, a build stage, and a deploy stage. When deployed properly, the web application responds with a 200 OK HTTP response code when the URL of the home page is requested.
The home page recently returned a 503 HTTP response code after CodePipeline deployed the application. The DevOps engineer needs to add an automated test into the pipeline. The automated test must ensure that the application returns a 200 OK HTTP response code after the application is deployed. The pipeline must fail if the response code is not present during the test.
The DevOps engineer has added a CheckURL stage after the deploy stage in the pipeline.
What should the DevOps engineer do next to implement the automated test?

Answer: B

Explanation:
To add an automated test in AWS CodePipeline that checks the HTTP response code of a deployed application, the most straightforward and operationally efficient method is to create an AWS Lambda function that makes an HTTP request to the application URL, checks the response code, and then reports success or failure back to CodePipeline.
* The Lambda function can be invoked as an action in the pipeline stage.
* If the response code is not 200 OK, the Lambda function can return a failure, causing the pipeline stage to fail and halt further execution.
* Option A's CloudWatch synthetic canary monitors are useful for ongoing monitoring but are not natively integrated as CodePipeline actions to control pipeline flow.
* Option C incorrectly uses CodeDeploy action for testing, which is not designed for this purpose.
* Option D introduces unnecessary complexity by deploying API Gateway and Device Farm, which is not required for a simple HTTP status check. Therefore, option B provides a clean, simple, and fully automated way to enforce HTTP response validation within the pipeline.
Reference from AWS Official Documentation:
* AWS CodePipeline Custom Actions: " You can create Lambda invoke actions in your pipeline stages to run custom validation or testing functions. " (AWS CodePipeline User Guide - Lambda Actions)
* AWS Lambda Function for Health Checks: " Lambda functions can be used to perform health checks or API response validations and report results back to invoking services. " (AWS Lambda Developer Guide)


NEW QUESTION # 224
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