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The DOP-C02 Exam is considered to be one of the most valuable and sought-after certifications in the field of DevOps. It is recognized globally as a standard for measuring the expertise and skills required to manage and deploy applications on the AWS platform using DevOps principles and practices. AWS Certified DevOps Engineer - Professional certification is highly sought after by employers and can lead to lucrative job opportunities with high salaries and benefits.

Amazon DOP-C02 Exam Syllabus Topics:

Topic	Details
Topic 1	Resilient Cloud Solutions: AWS DevOps Engineers explore techniques to implement highly available solutions that meet resilience and business continuity requirements. Scalable solutions to align with dynamic business needs are also addressed. Automated recovery processes are emphasized to meet recovery time and point objectives (RTO RPO). These skills are pivotal for demonstrating cloud resilience expertise in the certification exam.
Topic 2	Monitoring and Logging: This topic focuses on configuring the collection, aggregation, and storage of logs and metrics, enabling AWS DevOps Engineers to monitor system health. Key skills include auditing, monitoring, and analyzing data to detect issues and automating monitoring processes for complex environments.
Topic 3	Configuration Management and IaC: This topic equips AWS DevOps Engineers to define cloud infrastructure and reusable components for provisioning and managing systems throughout their lifecycle. Engineers learn to deploy automation for onboarding and securing AWS accounts across multi-account and multi-region environments.

Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Certification Exam is designed for professionals who are interested in validating their expertise in DevOps engineering practices and methodologies using AWS technologies. DOP-C02 exam is intended for individuals who have a strong understanding of DevOps principles, practices, and tools and are experienced in implementing and managing continuous delivery systems and methodologies on AWS.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q196-Q201):

NEW QUESTION # 196
A company has multiple development groups working in a single shared AWS account. The Senior Manager of the groups wants to be alerted via a third-party API call when the creation of resources approaches the service limits for the account.
Which solution will accomplish this with the LEAST amount of development effort?

A. Deploy an AWS Lambda function that refreshes AWS Personal Health Dashboard checks, and configure an Amazon CloudWatch Events rule to run the Lambda function periodically. Create another CloudWatch Events rule with an event pattern matching Personal Health Dashboard events and a target Lambda function. In the target Lambda function, notify the Senior Manager.
B. Deploy an AWS Lambda function that refreshes AWS Trusted Advisor checks, and configure an Amazon CloudWatch Events rule to run the Lambda function periodically. Create another CloudWatch Events rule with an event pattern matching Trusted Advisor events and a target Lambda function. In the target Lambda function, notify the Senior Manager.
C. Add an AWS Config custom rule that runs periodically, checks the AWS service limit status, and streams notifications to an Amazon SNS topic. Deploy an AWS Lambda function that notifies the Senior Manager, and subscribe the Lambda function to the SNS topic.
D. Create an Amazon CloudWatch Event rule that runs periodically and targets an AWS Lambda function. Within the Lambda function, evaluate the current state of the AWS environment and compare deployed resource values to resource limits on the account. Notify the Senior Manager if the account is approaching a service limit.

Answer: B

Explanation:
To meet the requirements, the company needs to create a solution that alerts the Senior Manager when the creation of resources approaches the service limits for the account with the least amount of development effort. The company can use AWS Trusted Advisor, which is a service that provides best practice recommendations for cost optimization, performance, security, and service limits. The company can deploy an AWS Lambda function that refreshes Trusted Advisor checks, and configure an Amazon CloudWatch Events rule to run the Lambda function periodically. This will ensure that Trusted Advisor checks are up to date and reflect the current state of the account. The company can then create another CloudWatch Events rule with an event pattern matching Trusted Advisor events and a target Lambda function. The event pattern can filter for events related to service limit checks and their status. The target Lambda function can notify the Senior Manager via a third-party API call if the event indicates that the account is approaching or exceeding a service limit.

NEW QUESTION # 197
A DevOps engineer needs to implement integration tests into an existing AWS CodePipelme CI/CD workflow for an Amazon Elastic Container Service (Amazon ECS) service. The CI/CD workflow retrieves new application code from an AWS CodeCommit repository and builds a container image. The CI/CD workflow then uploads the container image to Amazon Elastic Container Registry (Amazon ECR) with a new image tag version.
The integration tests must ensure that new versions of the service endpoint are reachable and that vanous API methods return successful response data The DevOps engineer has already created an ECS cluster to test the service Which combination of steps will meet these requirements with the LEAST management overhead? (Select THREE.)

A. Add an appspec.yml file to the CodeCommit repository
B. Create an AWS Lambda function that runs connectivity checks and API calls against the service. Integrate the Lambda function with CodePipeline by using aLambda action stage
C. Write a script that runs integration tests against the service. Upload the script to an Amazon S3 bucket. Integrate the script in the S3 bucket with CodePipeline by using an S3 action stage.
D. Add a deploy stage to the pipeline Configure AWS CodeDeploy as the action provider
E. Add a deploy stage to the pipeline Configure Amazon ECS as the action provider
F. Update the image build pipeline stage to output an imagedefinitions json file that references the new image tag.

Answer: B,E,F

Explanation:
* Add a Deploy Stage to the Pipeline, Configure Amazon ECS as the Action Provider:
By adding a deploy stage to the pipeline and configuring Amazon ECS as the action provider, the pipeline can automatically deploy the new container image to the ECS cluster.
This ensures that the service is updated with the new image tag, making the new version of the service endpoint reachable.
Reference:
* Update the Image Build Pipeline Stage to Output an imagedefinitions.json File that Reference the New Image Tag:
The imagedefinitions.json file provides the necessary information about the container images and their tags for the ECS task definitions.
Updating the pipeline to output this file ensures that the correct image version is deployed.
Example imagedefinitions.json
[
{
"name": "container-name",
"imageUri": "123456789012.dkr.ecr.region.amazonaws.com/my-repo:my-tag"
}
]
* Reference: CodePipeline ECS Deployment
* Create an AWS Lambda Function that Runs Connectivity Checks and API Calls against the Service. Integrate the Lambda Function with CodePipeline by Using a Lambda Action Stage:
The Lambda function can perform the necessary integration tests by making connectivity checks and API calls to the deployed service endpoint.
Integrating this Lambda function into CodePipeline ensures that these tests are run automatically after deployment, providing near-real-time feedback on the new deployment's health.
Example Lambda function integration:
actions:
- name: TestService
actionTypeId:
category: Test
owner: AWS
provider: Lambda
runOrder: 2
configuration:
FunctionName: testServiceFunction
These steps ensure that the CI/CD workflow deploys the new container image to ECS, updates the image references, and performs integration tests, meeting the requirements with minimal management overhead.

NEW QUESTION # 198
A company needs to implement failover for its application. The application includes an Amazon CloudFront distribution and a public Application Load Balancer (ALB) in an AWS Region. The company has configured the ALB as the default origin for the distribution.
After some recent application outages, the company wants a zero-second RTO. The company deploys the application to a secondary Region in a warm standby configuration. A DevOps engineer needs to automate the failover of the application to the secondary Region so that HTTP GET requests meet the desired R TO.
Which solution will meet these requirements?

A. Create a new origin on the distribution for the secondary ALB. Create a new origin group. Set the original ALB as the primary origin. Configure the origin group to fail over for HTTP 5xx status codes.
Update the default behavior to use the origin group.
B. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both ALBs. Set the TTL of both records to O. Update the distribution's origin to use the new record set.
C. Create a CloudFront function that detects HTTP 5xx status codes. Configure the function to return a
307 Temporary Redirect error response to the secondary ALB if the function detects 5xx status codes.Update the distribution's default behavior to send origin responses to the function.
D. Create a second CloudFront distribution that has the secondary ALB as the default origin. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both CloudFront distributions. Update the application to use the new record set.

Answer: A

Explanation:
To implement failover for the application to the secondary Region so that HTTP GET requests meet the desired RTO, the DevOps engineer should use the following solution:
Create a new origin on the distribution for the secondary ALB. A CloudFront origin is the source of the content that CloudFront delivers to viewers. By creating a new origin for the secondary ALB, the DevOps engineer can configure CloudFront to route traffic to the secondary Region when the primary Region is unavailable1 Create a new origin group. Set the original ALB as the primary origin. Configure the origin group to fail over for HTTP 5xx status codes. An origin group is a logical grouping of two origins: a primary origin and a secondary origin. By creating an origin group, the DevOps engineer can specify which origin CloudFront should use as a fallback when the primary origin fails. The DevOps engineer can also define which HTTP status codes should trigger a failover from the primary origin to the secondary origin. By setting the original ALB as the primary origin and configuring the origin group to fail over for HTTP 5xx status codes, the DevOps engineer can ensure that CloudFront will switch to the secondary ALB when the primary ALB returns server errors2 Update the default behavior to use the origin group. A behavior is a set of rules that CloudFront applies when it receives requests for specific URLs or file types. The default behavior applies to all requests that do not match any other behaviors. By updating the default behavior to use the origin group, the DevOps engineer can enable failover routing for all requests that are sent to the distribution3 This solution will meet the requirements because it will automate the failover of the application to the secondary Region with zero-second RTO. When CloudFront receives an HTTP GET request, it will first try to route it to the primary ALB in the primary Region. If the primary ALB is healthy and returns a successful response, CloudFront will deliver it to the viewer. If the primary ALB is unhealthy or returns an HTTP 5xx status code, CloudFront will automatically route the request to the secondary ALB in the secondary Region and deliver its response to the viewer.
The other options are not correct because they either do not provide zero-second RTO or do not work as expected. Creating a second CloudFront distribution that has the secondary ALB as the default origin and creating Amazon Route 53 alias records that have a failover policy is not a good option because it will introduce additional latency and complexity to the solution. Route 53 health checks and DNS propagation can take several minutes or longer, which means that viewers might experience delays or errors when accessing the application during a failover event. Creating Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both ALBs and setting the TTL of both records to O is not a valid option because it will not work with CloudFront distributions. Route 53 does not support health checks for alias records that point to CloudFront distributions, so it cannot detect if an ALB behind a distribution is healthy or not. Creating a CloudFront function that detects HTTP 5xx status codes and returns a 307 Temporary Redirect error response to the secondary ALB is not a valid option because it will not provide zero- second RTO. A 307 Temporary Redirect error response tells viewers to retry their requests with a different URL, which means that viewers will have to make an additional request and wait for another response from CloudFront before reaching the secondary ALB.
1: Adding, Editing, and Deleting Origins - Amazon CloudFront
2: Configuring Origin Failover - Amazon CloudFront
3: Creating or Updating a Cache Behavior - Amazon CloudFront

NEW QUESTION # 199
A DevOps engineer wants to find a solution to migrate an application from on premises to AWS The application is running on Linux and needs to run on specific versions of Apache Tomcat HAProxy and Varnish Cache to function properly. The application's operating system-level parameters require tuning The solution must include a way to automate the deployment of new application versions. The infrastructure should be scalable and faulty servers should be replaced automatically.
Which solution should the DevOps engineer use?

A. Upload the application code to an AWS CodeCommit repository with an appspec.yml file to configure and install the necessary software. Create an AWS CodeDeploy deployment group associated with an Amazon EC2 Auto Scaling group Create an AWS CodePipeline pipeline that uses CodeCommit as a source and CodeDeploy as a deployment provider
B. Upload the application as a Docker image that contains all the necessary software to Amazon ECR Create an Amazon ECS cluster using an AWS Fargate launch type and an Auto Scaling group. Create an AWS CodePipeline pipeline that uses Amazon ECR as a source and Amazon ECS as a deployment provider
C. Upload the application code to an AWS CodeCommit repository with a set of ebextensions files to configure and install the software. Create an AWS Elastic Beanstalk worker tier environment that uses the Tomcat solution stack Create an AWS CodePipeline pipeline that uses CodeCommit as a source and Elastic Beanstalk as a deployment provider
D. Upload the application code to an AWS CodeCommit repository with a saved configuration file to configure and install the software Create an AWS Elastic Beanstalk web server tier and a load balanced- type environment that uses the Tomcat solution stack Create an AWS CodePipeline pipeline that uses CodeCommit as a source and Elastic Beanstalk as a deployment provider

Answer: A

Explanation:
The correct answer is D. The scenario requires a solution that can migrate an application from on premises to AWS, run on specific versions of Apache Tomcat, HAProxy, and Varnish Cache, tune the operating system- level parameters, automate the deployment of new application versions, and scale and replace faulty servers automatically. Option D meets all these requirements by using AWS CodeCommit, AWS CodeDeploy, AWS CodePipeline, and Amazon EC2 Auto Scaling. AWS CodeCommit is a fully managed source control service that hosts Git repositories and works with Git-based tools. AWS CodeDeploy is a fully managed deployment service that automates software deployments to a variety of compute services, including Amazon EC2, AWS Fargate, AWS Lambda, and on-premises servers. AWS CodePipeline is a fully managed continuous delivery service that helps automate the release pipelines for fast and reliable application updates. Amazon EC2 Auto Scaling helps maintain application availability and allows scaling of Amazon EC2 capacity up or down automatically according to the defined conditions. By using these services together, the DevOps engineer can migrate the application code to AWS, configure and install the necessary software using the appspec.yml file, automate the deployment process using the pipeline, and scale and replace the servers using the Auto Scaling group.
Option A is incorrect because AWS Fargate is a serverless compute engine for containers that works with Amazon ECS and Amazon EKS. Fargate removes the need to provision and manage servers, but it also limits the ability to tune the operating system-level parameters, which is a requirement in the scenario. Moreover, Fargate does not support HAProxy and Varnish Cache as sidecar containers, which are needed to run the application properly.
Option B is incorrect because AWS Elastic Beanstalk is a fully managed service that automates the deployment and scaling of web applications and services using familiar servers such as Apache, Nginx, Passenger, and IIS. However, Elastic Beanstalk does not support HAProxy and Varnish Cache as part of the Tomcat solution stack, which are needed to run the application properly. Moreover, Elastic Beanstalk web server tier environments are designed to serve HTTP requests, not to process background tasks, which is the purpose of worker tier environments.
Option C is incorrect because AWS Elastic Beanstalk worker tier environments are designed to process background tasks using a daemon process that runs on each Amazon EC2 instance in the environment.
Worker tier environments are not suitable for running web applications that serve HTTP requests, which is the case in the scenario. Moreover, Elastic Beanstalk does not support HAProxy and Varnish Cache as part of the Tomcat solution stack, which are needed to run the application properly.
AWS CodeCommit
AWS CodeDeploy
AWS CodePipeline
Amazon EC2 Auto Scaling
AWS Fargate
AWS Elastic Beanstalk

NEW QUESTION # 200
A company runs an application on one Amazon EC2 instance. Application metadata is stored in Amazon S3 and must be retrieved if the instance is restarted. The instance must restart or relaunch automatically if the instance becomes unresponsive.
Which solution will meet these requirements?

A. Use AWS CloudFormation to create an EC2 instance that includes the UserData property for the EC2 resource. Add a command in UserData to retrieve the application metadata from Amazon S3.
B. Use EC2 Auto Recovery to automatically stop and start the instance in case of a failure. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.
C. Create an Amazon CloudWatch alarm for the StatusCheckFailed metric. Use the recover action to stop and start the instance. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.
D. Configure AWS OpsWorks, and use the auto healing feature to stop and start the instance. Use a lifecycle event in OpsWorks to pull the metadata from Amazon S3 and update it on the instance.

Answer: D

Explanation:
Explanation
https://aws.amazon.com/blogs/mt/how-to-set-up-aws-opsworks-stacks-auto-healing-notifications-in-amazon-clou

NEW QUESTION # 201
......

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NEW DOP-C02 TEST PRICE | DOP-C02 VCE DOWNLOAD

New DOP-C02 Test Price | DOP-C02 Vce Download