Top Detailed DOP-C01 Answers 100% Pass | Reliable DOP-C01: AWS Certified DevOps Engineer - Professional 100% Pass
Top Detailed DOP-C01 Answers 100% Pass | Reliable DOP-C01: AWS Certified DevOps Engineer - Professional 100% Pass
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Achieving the AWS Certified DevOps Engineer - Professional certification demonstrates to employers and peers that the candidate has the skills and knowledge necessary to design, deploy, and manage applications on AWS using DevOps principles and practices. AWS Certified DevOps Engineer - Professional certification is recognized by companies worldwide and can help candidates advance their careers and increase their earning potential.
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The AWS-DevOps exam covers a wide range of topics such as provisioning and managing infrastructure using AWS services, implementing continuous delivery and deployment automation, monitoring and logging applications, and designing and managing highly available and scalable systems. DOP-C01 Exam consists of multiple-choice and multiple-response questions, with a total of 75 questions to be completed in 170 minutes.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q509-Q514):
NEW QUESTION # 509
A DevOps Engineer is launching a new application that will be deployed using Amazon Route 53, an Application Load Balancer, Auto Scaling, and Amazon DynamoDB. One of the key requirements of this launch is that the application must be able to scale to meet a sudden load increase. During periods of low usage, the infrastructure components must scale down to optimize cost.
What steps can the DevOps Engineer take to meet the requirements? (Select TWO.)
- A. Use AWS Trusted Advisor to submit limit increase requests for the Amazon EC2 instances that will be used by the infrastructure.
- B. Create an Amazon CloudWatch Events scheduled rule that runs every 5 minutes to track the current use of the Auto Scaling group. If usage has changed, trigger a scale-up event to adjust the capacity.
Do the same for DynamoDB read and write capacities. - C. Configure the Application Load Balancer to automatically adjust the target group based on the current load.
- D. Enable Auto Scaling for the DynamoDB tables that are used by the application.
- E. Determine which Amazon EC2 instance limits need to be raised by leveraging AWS Trusted Advisor, and submit a request to AWS Support to increase those limits.
Answer: D,E
Explanation:
D is wrong because Auto Scaling can terminate and replace any instances that are reported as unhealthy not ALB.
https://aws.amazon.com/blogs/database/amazon-dynamodb-auto-scaling-performance-and-cost- optimization-at-any-scale/
NEW QUESTION # 510
Using the AWS CLI, which command retrieves CloudTrail trail settings, including the status of the trail itself?
- A. aws cloudtrail return-trails
- B. aws cloudtrail validate-settings
- C. aws cloudtrail get-settings
- D. aws cloudtrail describe-trails
Answer: D
Explanation:
You can retrieve trail settings and status using the cloudtrail describe-trails command. It will generate output similar to the example below.
{
"trailList": [
{
"IncludeGlobalServiceEvents": false,
"Name": "trailname",
"S3KeyPrefix": "my-prefix",
"TrailARN": "arn:aws:cloudtrail:us-east-2:123456789012:trail/my-trail",
"LogFileValidationEnabled": true,
"IsMultiRegionTrail": true,
"HasCustomEventSelectors": false,
"S3BucketName": " bucket"
"SnsTopicName": " topic",
"HomeRegion": "us-east-2"
}
]
}
Reference:
http://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-create-and-update-a-trail- by-using-the-aws-cli.html
NEW QUESTION # 511
A DevOps Engineer encountered the following error when attempting to use an AWS CloudFormation template to create an Amazon ECS cluster:
An error occurred (InsufficientCapabilitiesException) when calling the CreateStack operation.
What caused this error and what steps need to be taken to allow the Engineer to successfully execute the AWS CloudFormation template?
- A. CloudFormation is not capable of fulfilling the request of the specified resources in the current AWS Region. The Engineer needs to specify a new region and rerun the template
- B. The AWS user or role attempting to execute the CloudFormation template does not have the permissions required to create the resources within the template. The Engineer must review the user policies and add any permissions needed to create the resources and then rerun the template execution.
- C. The AWS CloudFormation service cannot be reached and is not capable of creating the cluster. The Engineer needs to confirm that routing and firewall rules are not preventing the AWS CloudFormation script from communicating with the AWS service endpoints, and then rerun the template execution.
- D. The CloudFormation execution was not granted the capability to create IAM resources. The Engineer needs to provide CAPABILITY_IAM and as capabilities in the CloudFormation execution parameters or provide the capabilities in the AWS Management Console. CAPABILITY_NAMED_IAM
Answer: D
NEW QUESTION # 512
What is web identity federation?
- A. Use of an identity provider like Google or Facebook to exchange for temporary AWS security credentials.
- B. Use of an identity provider like Google or Facebook to become an AWS IAM User.
- C. Use of AWS STS Tokens to log in as a Google or Facebook user.
- D. Use of AWS IAM User tokens to log in as a Google or Facebook user.
Answer: A
Explanation:
... users of your app can sign in using a well-known identity provider (IdP) --such as Login with Amazon, Facebook, Google, or any other OpenID Connect (OIDC)-compatible IdP, receive an authentication token, and then exchange that token for temporary security credentials in AWS that map to an IAM role with permissions to use the resources in your AWS account.
http://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_providers_oidc.html
NEW QUESTION # 513
A company is using AWS CodeDeploy to manage its application deployments. Recently, the Development team decided to use GitHub for version control, and the team is looking for ways to integrate the GitHub repository with CodeDeploy. The team also needs to develop a way to automate deployment whenever there is a new commit on that repository. The team is currently deploying new application revisions by manually indicating the Amazon S3 location.
How can the integration be achieved in the MOST efficient way?
- A. Create an AWS Lambda function to check periodically if there has been a new commit within the GitHub repository. If a new commit is found, trigger a CreateDeployment API call to AWS CodeDeploy to start a new deployment based on the last commit ID within the deployment group.
- B. Create an AWS CodeDeploy custom deployment configuration to associate the GitHub repository with the deployment group. During the association process, authenticate the deployment group with GitHub to obtain the GitHub security authentication token. Configure the deployment group options to automatically deploy if a new commit is found. Perform a new commit to the GitHub repository to trigger the first deployment.
- C. Create a GitHub webhook to replicate the repository to AWS CodeCommit. Create an AWS CodePipeline pipeline that uses CodeCommit as a source provider and AWS CodeDeploy as a deployment provider. Once configured, commit a change to the GitHub repository to start the first deployment.
- D. Create an AWS CodePipeline pipeline that uses GitHub as a source provider and AWS CodeDeploy as a deployment provider. Connect this new pipeline with the GitHub account and instruct CodePipeline to use webhooks in GitHub to automatically start the pipeline when a change occurs.
Answer: B
NEW QUESTION # 514
......
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