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Achieving the AWS Certified DevOps Engineer - Professional (DOP-C02) certification can significantly impact your career progression and earning potential. This certification showcases your expertise and knowledge to employers, making you a valuable asset in the Amazon DOP-C02 industry. With the rapidly evolving nature of the Amazon world, staying up-to-date with the latest technologies and trends is crucial. The DOP-C02 Certification Exam enables you to learn these changes and ensures you remain current in your field.

To be eligible for the Amazon DOP-C02 Certification Exam, individuals must have a minimum of two years of experience working with AWS services and at least one year of experience working with DevOps practices. Additionally, candidates must hold the AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate certification.

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The web-based Amazon DOP-C02 practice exam is compatible with all browsers like Chrome, Mozilla Firefox, MS Edge, Internet Explorer, Safari, Opera, and more. Unlike the desktop version, it requires an internet connection. The AWS Certified DevOps Engineer - Professional (DOP-C02) practice exam will ask real AWS Certified DevOps Engineer - Professional (DOP-C02) exam questions.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q218-Q223):

NEW QUESTION # 218
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 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
C. 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
D. 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

Answer: A

Explanation:
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.
References:
* AWS CodeCommit
* AWS CodeDeploy
* AWS CodePipeline
* Amazon EC2 Auto Scaling
* AWS Fargate
* AWS Elastic Beanstalk

NEW QUESTION # 219
A company has a web application that publishes logs that contain metadata for transactions, with a status of success or failure for each log. The logs are in JSON format. The application publishes the logs to an Amazon CloudWatch Logs log group.
The company wants to create a dashboard that displays the number of successful transactions.
Which solution will meet this requirement with the LEAST operational overhead?

A. Create an Amazon Kinesis data stream that is subscribed to the log group. Configure the data stream to filter incoming log data based on a status of success and to send the filtered logs to an AWS Lambda function. Configure the Lambda function to publish a custom metric to CloudWatch. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.
B. Create a CloudWatch subscription filter for the log group that uses an AWS Lambda function.
Configure the Lambda function to parse the JSON logs and publish a custom metric to CloudWatch for transactions that have a status of success. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.
C. Create an Amazon OpenSearch Service cluster and an OpenSearch Service subscription filter to send the log group data to the cluster. Create a dashboard within the Dashboards feature in the OpenSearch Service cluster by using a search query for transactions that have a status of success.
D. Create a CloudWatch metric filter for the log groups with a filter pattern that matches the transaction status property and a value of success. Create a CloudWatch dashboard by using a metric graph that displays the new metric.

Answer: D

NEW QUESTION # 220
A company that uses electronic health records is running a fleet of Amazon EC2 instances with an Amazon Linux operating system. As part of patient privacy requirements, the company must ensure continuous compliance for patches for operating system and applications running on the EC2 instances.
How can the deployments of the operating system and application patches be automated using a default and custom repository?

A. Use AWS Systems Manager to create a new patch baseline including the custom repository. Run the AWS-RunPatchBaseline document using the run command to verify and install patches.
B. Use AWS Systems Manager to create a new patch baseline including the corporate repository. Run the AWS-AmazonLinuxDefaultPatchBaseline document using the run command to verify and install patches.
C. Use AWS Direct Connect to integrate the corporate repository and deploy the patches using Amazon CloudWatch scheduled events, then use the CloudWatch dashboard to create reports.
D. Use yum-config-manager to add the custom repository under /etc/yum.repos.d and run yum-config-manager-enable to activate the repository.

Answer: A

Explanation:
https://docs.aws.amazon.com/systems-manager/latest/userguide/patch-manager-how-it-works-alt-source-repository.html

NEW QUESTION # 221
A media company has several thousand Amazon EC2 instances in an AWS account. The company is using Slack and a shared email inbox for team communications and important updates. A DevOps engineer needs to send all AWS-scheduled EC2 maintenance notifications to the Slack channel and the shared inbox. The solution must include the instances' Name and Owner tags.
Which solution will meet these requirements?

A. Create an AWS Lambda function that sends EC2 maintenance notifications to the Slack channel and the shared inbox Monitor EC2 health events by using Amazon CloudWatch metrics Configure a CloudWatch alarm that invokes the Lambda function when a maintenance notification is received.
B. Configure AWS Support integration with AWS CloudTrail Create a CloudTrail lookup event to invoke an AWS Lambda function to pass EC2 maintenance notifications to Amazon Simple Notification Service (Amazon SNS) Configure Amazon SNS to target the Slack channel and the shared inbox.
C. Use Amazon EventBridge to monitor for AWS Health Events Configure the maintenance events to target an Amazon Simple Notification Service (Amazon SNS) topic Subscribe an AWS Lambda function to the SNS topic to send notifications to the Slack channel and the shared inbox.
D. Integrate AWS Trusted Advisor with AWS Config Configure a custom AWS Config rule to invoke an AWS Lambda function to publish notifications to an Amazon Simple Notification Service (Amazon SNS) topic Subscribe a Slack channel endpoint and the shared inbox to the topic.

Answer: C

Explanation:
https://docs.aws.amazon.com/health/latest/ug/cloudwatch-events-health.html

NEW QUESTION # 222
A company deploys an application to Amazon EC2 instances. The application runs Amazon Linux 2 and uses AWS CodeDeploy. The application has the following file structure for its code repository:

The appspec.yml file has the following contents in the files section:

What will the result be for the deployment of the config.txt file?

A. The config txt file will be deployed to /usr/local/src/config.txt and to /var/www/html/application/web/config txt
B. The config.txt file will be deployed to only /var/www/html/config/config txt
C. The config.txt file will be deployed to only /usr/local/src/config txt
D. The config.txt file will be deployed to /usr/local/src/config.txt and to /var/www/html/config/config txt.

Answer: C

Explanation:
Deployment of config.txt file based on the appspec.yml:
The appspec.yml file specifies that config/config.txt should be copied to /usr/local/src/config.txt.
The source: / directive in the appspec.yml indicates that the entire directory structure starting from the root of the application source should be copied to the specified destination, which is /var/www/html.
Result of the Deployment:
The config.txt file will be specifically deployed to /usr/local/src/config.txt as per the explicit file mapping.
The entire directory structure including application/web will be copied to /var/www/html, but this does not include config/config.txt since it has a specific destination defined.
Thus, the config.txt file will be deployed only to /usr/local/src/config.txt.
Therefore, the correct answer is:
C . The config.txt file will be deployed to only /usr/local/src/config.txt.
Reference:
AWS CodeDeploy AppSpec File Reference
AWS CodeDeploy Deployment Process

NEW QUESTION # 223
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New DOP-C02 Study Guide - DOP-C02 Actual Dumps

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q218-Q223):

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