DOP-C02 DUMPS TORRENT: AWS CERTIFIED DEVOPS ENGINEER - PROFESSIONAL & DOP-C02 VALID TEST

DOP-C02 dumps torrent: AWS Certified DevOps Engineer - Professional & DOP-C02 valid test

DOP-C02 dumps torrent: AWS Certified DevOps Engineer - Professional & DOP-C02 valid test

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Tags: DOP-C02 Exams Collection, Reliable DOP-C02 Braindumps Sheet, DOP-C02 Practice Exam Questions, DOP-C02 Valid Exam Braindumps, Valid Braindumps DOP-C02 Sheet

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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Certification Exam is an advanced-level certification designed for individuals with extensive experience in the field of DevOps. AWS Certified DevOps Engineer - Professional certification exam measures an individual's ability to manage and implement continuous delivery systems and methodologies on the AWS platform. It is ideal for DevOps engineers, system administrators, and developers who are responsible for designing, implementing, and managing DevOps workflows and methodologies.

Amazon DOP-C02 certification is an essential credential for professionals who want to demonstrate their expertise in DevOps practices and AWS technologies. It is a challenging exam that requires significant preparation and experience, but it can be a valuable investment in your career growth and advancement as a DevOps engineer.

The DOP-C02 Certification Exam consists of 75 multiple-choice and multiple-response questions, which must be completed within 180 minutes. DOP-C02 exam is designed to test the candidate's knowledge across several domains, including Configuration Management and Infrastructure as Code, Monitoring and Logging, Security, Compliance, and Deployment and Provisioning. DOP-C02 exam is computer-based and can be taken at an AWS test center or remotely.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q73-Q78):

NEW QUESTION # 73
A development team uses AWS CodeCommit, AWS CodePipeline, and AWS CodeBuild to develop and deploy an application. Changes to the code are submitted by pull requests. The development team reviews and merges the pull requests, and then the pipeline builds and tests the application.
Over time, the number of pull requests has increased. The pipeline is frequently blocked because of failing tests. To prevent this blockage, the development team wants to run the unit and integration tests on each pull request before it is merged.
Which solution will meet these requirements?

  • A. Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit approval rule template. Configure the template to require the successful invocation of the CodeBuild project. Attach the approval rule to the project's CodeCommit repository.
  • B. Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit. Modify the existing CodePipeline pipeline to not run the deploy steps if the build is started from a pull request. Configure the EventBridge rule to run the pipeline with a custom payload that contains the CodeCommit repository and branch information from the event.
  • C. Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit Create a CodeBuild project to run the unit and integration tests. Configure the CodeBuild project as a target of the EventBridge rule that includes a custom event payload with the CodeCommit repository and branch information from the event.
  • D. Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit notification rule that matches when a pull request is created or updated. Configure the notification rule to invoke the CodeBuild project.

Answer: C


NEW QUESTION # 74
A company is implementing AWS CodePipeline to automate its testing process The company wants to be notified when the execution state fails and used the following custom event pattern in Amazon EventBridge:

Which type of events will match this event pattern?

  • A. Approval actions across all the pipelines
  • B. Failed deploy and build actions across all the pipelines
  • C. All the events across all pipelines
  • D. All rejected or failed approval actions across all the pipelines

Answer: D

Explanation:
Explanation
Action-level states in events
Action state Description
STARTED The action is currently running.
SUCCEEDED The action was completed successfully.
FAILED For Approval actions, the FAILED state means the action was either rejected by the reviewer or failed due to an incorrect action configuration.
CANCELED The action was canceled because the pipeline structure was updated.


NEW QUESTION # 75
A company needs to ensure that flow logs remain configured for all existing and new VPCs in its AWS account. The company uses an AWS CloudFormation stack to manage its VPCs. The company needs a solution that will work for any VPCs that any IAM user creates.
Which solution will meet these requirements?

  • A. Add the resource to the CloudFormation stack that creates the VPCs.
  • B. Create an IAM policy to deny the use of API calls for VPC flow logs. Attach the IAM policy to all IAM users.
  • C. Create an organization in AWS Organizations. Add the company's AWS account to the organization. Create an SCP to prevent users from modifying VPC flow logs.
  • D. Turn on AWS Config. Create an AWS Config rule to check whether VPC flow logs are turned on. Configure automatic remediation to turn on VPC flow logs.

Answer: D

Explanation:
To meet the requirements of ensuring that flow logs remain configured for all existing and new VPCs in the AWS account, the company should use AWS Config and automatic remediation. AWS Config is a service that enables customers to assess, audit, and evaluate the configurations of their AWS resources. AWS Config continuously monitors and records the configuration changes of the AWS resources and evaluates them against desired configurations. Customers can use AWS Config rules to define the desired configuration state of their AWS resources and trigger actions when a resource configuration violates a rule.
One of the AWS Config rules that customers can use is vpc-flow-logs-enabled, which checks whether VPC flow logs are enabled for all VPCs in an AWS account. Customers can also configure automatic remediation for this rule, which means that AWS Config will automatically enable VPC flow logs for any VPCs that do not have them enabled. Customers can specify the destination (CloudWatch Logs or S3) and the traffic type (all, accept, or reject) for the flow logs as remediation parameters. By using AWS Config and automatic remediation, the company can ensure that flow logs remain configured for all existing and new VPCs in its AWS account, regardless of who creates them or how they are created.
The other options are not correct because they do not meet the requirements or follow best practices. Adding the resource to the CloudFormation stack that creates the VPCs is not a sufficient solution because it will only work for VPCs that are created by using the CloudFormation stack. It will not work for VPCs that are created by using other methods, such as the console or the API. Creating an organization in AWS Organizations and creating an SCP to prevent users from modifying VPC flow logs is not a good solution because it will not ensure that flow logs are enabled for all VPCs in the first place. It will only prevent users from disabling or changing flow logs after they are enabled. Creating an IAM policy to deny the use of API calls for VPC flow logs and attaching it to all IAM users is not a valid solution because it will prevent users from enabling or disabling flow logs at all. It will also not work for VPCs that are created by using other methods, such as the console or CloudFormation.
References:
1: AWS::EC2::FlowLog - AWS CloudFormation
2: Amazon VPC Flow Logs extends CloudFormation Support to custom format subscriptions, 1-minute aggregation intervals and tagging
3: Logging IP traffic using VPC Flow Logs - Amazon Virtual Private Cloud
: About AWS Config - AWS Config
: vpc-flow-logs-enabled - AWS Config
: Remediate Noncompliant Resources with AWS Config Rules - AWS Config


NEW QUESTION # 76
An application running on a set of Amazon EC2 instances in an Auto Scaling group requires a configuration file to operate. The instances are created and maintained with AWS CloudFormation. A DevOps engineer wants the instances to have the latest configuration file when launched and wants changes to the configuration file to be reflected on all the instances with a minimal delay when the CloudFormation template is updated. Company policy requires that application configuration files be maintained along with AWS infrastructure configuration files m source control.
Which solution will accomplish this?

  • A. In the CloudFormation template add an EC2 launch template resource. Place the configuration file content in the launch template. Add an AWS Systems Manager Resource Data Sync resource to the template to poll for updates to the configuration.
  • B. In the CloudFormaiion template add an AWS Config rule. Place the configuration file content in the rule's InputParameters property and set the Scope property to the EC2 Auto Scaling group. Add an AWS Systems Manager Resource Data Sync resource to the template to poll for updates to the configuration.
  • C. In the CloudFormation template add an EC2 launch template resource. Place the configuration file content in the launch template. Configure the cfn-mit script to run when the instance is launched and configure the cfn-hup script to poll for updates to the configuration.
  • D. In the CloudFormation template add CloudFormation imt metadata. Place the configuration file content m the metadata. Configure the cfn-init script to run when the instance is launched and configure the cfn-hup script to poll for updates to the configuration.

Answer: D

Explanation:
Use the AWS::CloudFormation::Init type to include metadata on an Amazon EC2 instance for the cfn-init helper script. If your template calls the cfn-init script, the script looks for resource metadata rooted in the AWS::CloudFormation::Init metadata key. Reference: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-init.html


NEW QUESTION # 77
A company is hosting a web application in an AWS Region. For disaster recovery purposes, a second region is being used as a standby. Disaster recovery requirements state that session data must be replicated between regions in near-real time and 1% of requests should route to the secondary region to continuously verify system functionality. Additionally, if there is a disruption in service in the main region, traffic should be automatically routed to the secondary region, and the secondary region must be able to scale up to handle all traffic.
How should a DevOps engineer meet these requirements?

  • A. In both regions, launch the application in Auto Scaling groups and use DynamoDB global tables for session data. Enable an Amazon CloudFront weighted distribution across regions. Point the Amazon Route 53 DNS record at the CloudFront distribution.
  • B. In both regions, launch the application in Auto Scaling groups and use DynamoDB for session data. Use a Route 53 failover routing policy with health checks to distribute the traffic across the regions.
  • C. In both regions, deploy the application on AWS Elastic Beanstalk and use Amazon DynamoDB global tables for session data. Use an Amazon Route 53 weighted routing policy with health checks to distribute the traffic across the regions.
  • D. In both regions, deploy the application in AWS Lambda, exposed by Amazon API Gateway, and use Amazon RDS for PostgreSQL with cross-region replication for session data. Deploy the web application with client-side logic to call the API Gateway directly.

Answer: C


NEW QUESTION # 78
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