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For quick and complete AWS Certified DevOps Engineer - Professional (DOP-C02) exam preparation you can trust Real4dumps Amazon DOP-C02 Exam Questions. With the Amazon DOP-C02 practice test questions you can ace your AWS Certified DevOps Engineer - Professional (DOP-C02) exam preparation and be ready to perform well in the final Amazon DOP-C02 certification exam.

Amazon DOP-C02 Certification Exam is designed to test an individual's ability to implement and manage a DevOps environment on the AWS platform. This includes designing and implementing continuous delivery systems, continuous integration, and continuous deployment systems. It also measures an individual's knowledge of monitoring, logging, and metrics systems on the AWS platform, as well as their ability to implement and manage security and compliance policies.

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Amazon DOP-C02: AWS Certified DevOps Engineer - Professional Exam is a challenging and comprehensive exam that requires extensive preparation. Candidates must have a deep understanding of AWS services, DevOps best practices, and automation tools. They must also be able to design and manage complex systems that can support continuous delivery and integration. Moreover, candidates must have practical experience working with AWS technologies and DevOps practices.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q205-Q210):

NEW QUESTION # 205
A company hosts applications in its AWS account Each application logs to an individual Amazon CloudWatch log group. The company's CloudWatch costs for ingestion are increasing A DevOps engineer needs to Identify which applications are the source of the increased logging costs.
Which solution Will meet these requirements?

Answer: B

Explanation:
Explanation
The correct answer is C.
A comprehensive and detailed explanation is:
Option A is incorrect because using CloudWatch metrics to create a custom expression that identifies the CloudWatch log groups that have the most data being written to them is not a valid solution.
CloudWatch metrics do not provide information about the size or volume of data being ingested by CloudWatch logs. CloudWatch metrics only provide information about the number of events, bytes, and errors that occur within a log group or stream. Moreover, creating a custom expression with CloudWatch metrics would require using the search_web tool, which is not necessary for this use case.
Option B is incorrect because using CloudWatch Logs Insights to create a set of queries for the application log groups to identify the number of logs written for a period of time is not a valid solution.
CloudWatch Logs Insights can help analyze and filter log events based on patterns and expressions, but it does not provide information about the cost or billing of CloudWatch logs. CloudWatch Logs Insights also charges based on the amount of data scanned by each query, which could increase the logging costs further.
Option C is correct because using AWS Cost Explorer to generate a cost report that details the cost for CloudWatch usage is a valid solution. AWS Cost Explorer is a tool that helps visualize, understand, and manage AWS costs and usage over time. AWS Cost Explorer can generate custom reports that show the breakdown of costs by service, region, account, tag, or any other dimension. AWS Cost Explorer can also filter and group costs by usage type, which can help identify the specific CloudWatch log groups that are the source of the increased logging costs.
Option D is incorrect because using AWS CloudTrail to filter for CreateLogStream events for each application is not a valid solution. AWS CloudTrail is a service that records API calls and account activity for AWS services, including CloudWatch logs. However, AWS CloudTrail does not provide information about the cost or billing of CloudWatch logs. Filtering for CreateLogStream events would only show when a new log stream was created within a log group, but not how much data was ingested or stored by that log stream.
References:
CloudWatch Metrics
CloudWatch Logs Insights
AWS Cost Explorer
AWS CloudTrail


NEW QUESTION # 206
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?

Answer: B

Explanation:
* Deployment of config.txt file based on the appspec.yml:
* Theappspec.ymlfile specifies thatconfig/config.txtshould be copied to/usr/local/src/config.txt.
* Thesource: /directive in theappspec.ymlindicates 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:
* Theconfig.txtfile will be specifically deployed to/usr/local/src/config.txtas per the explicit file mapping.
* The entire directory structure includingapplication/webwill be copied to/var/www/html, but this does not includeconfig/config.txtsince 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.
References:
* AWS CodeDeploy AppSpec File Reference
* AWS CodeDeploy Deployment Process


NEW QUESTION # 207
A company is using an organization in AWS Organizations to manage multiple AWS accounts. The company's development team wants to use AWS Lambda functions to meet resiliency requirements and is rewriting all applications to work with Lambda functions that are deployed in a VPC. The development team is using Amazon Elastic Pile System (Amazon EFS) as shared storage in Account A in the organization.
The company wants to continue to use Amazon EPS with Lambda Company policy requires all serverless projects to be deployed in Account B.
A DevOps engineer needs to reconfigure an existing EFS file system to allow Lambda functions to access the data through an existing EPS access point.
Which combination of steps should the DevOps engineer take to meet these requirements? (Select THREE.)

Answer: C,D,F

Explanation:
A Lambda function in one account can mount a file system in a different account. For this scenario, you configure VPC peering between the function VPC and the file system VPC.https://docs.aws.amazon.com
/lambda/latest/dg/services-efs.html
https://aws.amazon.com/ru/blogs/storage/mount-amazon-efs-file-systems-cross-account-from-amazon-eks/
1. Need to update the file system policy on EFS to allow mounting the file system into Account B.
## File System Policy
$ cat file-system-policy.json
{
"Statement": [
{
"Effect": "Allow",
"Action": [
"elasticfilesystem:ClientMount",
"elasticfilesystem:ClientWrite"
],
"Principal": {
"AWS": "arn:aws:iam::<aws-account-id-A>:root" # Replace with AWS account ID of EKS cluster
}
}
]
}
2. Need VPC peering between Account A and Account B as the pre-requisite
3. Need to assume cross-account IAM role to describe the mounts so that a specific mount can be chosen.


NEW QUESTION # 208
A company runs applications in AWS accounts that are in an organization in AWS Organizations The applications use Amazon EC2 instances and Amazon S3.
The company wants to detect potentially compromised EC2 instances suspicious network activity and unusual API activity in its existing AWS accounts and in any AWS accounts that the company creates in the future When the company detects one to these events the company wants to use an existing Amazon Simple Notification Service (Amazon SNS) topic to send a notification to its operational support team for investigation and remediation.
Which solution will meet these requirements in accordance with AWS best practices?

Answer: B

Explanation:
It allows the company to detect potentially compromised EC2 instances, suspicious network activity, and unusual API activity in its existing AWS accounts and in any AWS accounts that the company creates in the future using Amazon GuardDuty. It also provides a solution for automatically adding future AWS accounts to GuardDuty by configuring GuardDuty to add newly created AWS accounts by invitation and to send invitations to the existing AWS accounts.


NEW QUESTION # 209
A company has deployed a new platform that runs on Amazon Elastic Kubernetes Service (Amazon EKS).
The new platform hosts web applications that users frequently update. The application developers build the Docker images for the applications and deploy the Docker images manually to the platform.
The platform usage has increased to more than 500 users every day. Frequent updates, building the updated Docker images for the applications, and deploying the Docker images on the platform manually have all become difficult to manage.
The company needs to receive an Amazon Simple Notification Service (Amazon SNS) notification if Docker image scanning returns any HIGH or CRITICAL findings for operating system or programming language package vulnerabilities.
Which combination of steps will meet these requirements? (Select TWO.)

Answer: A,C

Explanation:
Step 1: Automate Docker Image Deployment using AWS CodePipeline
The first challenge is the manual process of building and deploying Docker images. To address this, you can use AWS CodePipeline to automate the process. AWS CodePipeline integrates with CodeCommit (for source code and Dockerfile storage) and CodeBuild (to build Docker images and store them in Amazon Elastic Container Registry (ECR)).
Action: Create an AWS CodeCommit repository to store the Dockerfile and Kubernetes deployment files.
Then, create a pipeline in AWS CodePipeline that triggers on new commits via an Amazon EventBridge event.
Why: This automation significantly reduces the manual effort of building and deploying Docker images when updates are made to the codebase.
Reference: AWS documentation on AWS CodePipeline and CodeCommit Integration.
This corresponds to Option B: Create an AWS CodeCommit repository to store the Dockerfile and Kubernetes deployment files. Create a pipeline in AWS CodePipeline. Use an Amazon EventBridge event to invoke the pipeline when a newer version of the Dockerfile is committed. Add a step to the pipeline to initiate the AWS CodeBuild project.
Step 2: Enabling Enhanced Scanning on Amazon ECR and Monitoring VulnerabilitiesTo scan for vulnerabilities in Docker images, Amazon ECR provides both basic and enhanced scanning options.
Enhanced scanning offers deeper and more frequent scans, and integrates with Amazon EventBridge to send notifications based on findings.
Action: Turn on enhanced scanning for the Amazon ECR repository where the Docker images are stored. Use Amazon EventBridge to monitor image scan events and trigger an Amazon SNS notification if any HIGH or CRITICAL vulnerabilities are found.
Why: Enhanced scanning provides a detailed analysis of operating system and programming language package vulnerabilities, which can trigger notifications in real-time.
Reference: AWS documentation on Enhanced Scanning for Amazon ECR.
This corresponds to Option D: Create an AWS CodeBuild project that builds the Docker images and stores the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Turn on enhanced scanning for the ECR repository. Create an Amazon EventBridge rule that monitors ECR image scan events.
Configure the EventBridge rule to send an event to an SNS topic when the finding-severity-counts parameter is more than 0 at a CRITICAL or HIGH level.


NEW QUESTION # 210
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