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Both practice exams (web-based & desktop) give a Amazon DOP-C02 real exam feeling and identify your mistakes so you can overcome your weaknesses before the DOP-C02 final test. The desktop Amazon DOP-C02 Practice Test software works on Windows after software installation. You can take the web-based AWS Certified DevOps Engineer - Professional DOP-C02 practice exam via any operating system.
Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Exam is a certification exam that is designed for professionals who want to demonstrate their expertise in DevOps practices and AWS technologies. DOP-C02 Exam is intended for individuals who have a deep understanding of the core principles and practices of DevOps, as well as proficiency in the deployment, management, and operation of AWS services.
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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.
The AWS Certified DevOps Engineer - Professional (DOP-C02) certification exam is designed for IT professionals who work in a DevOps environment and have experience using AWS services for continuous integration and delivery. AWS Certified DevOps Engineer - Professional certification validates the candidate's knowledge and skills in areas such as automation, monitoring, and security practices, among others.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q226-Q231):
NEW QUESTION # 226
A DevOps engineer is setting up a container-based architecture. The engineer has decided to use AWS CloudFormation to automatically provision an Amazon ECS cluster and an Amazon EC2 Auto Scaling group to launch the EC2 container instances. After successfully creating the CloudFormation stack, the engineer noticed that, even though the ECS cluster and the EC2 instances were created successfully and the stack finished the creation, the EC2 instances were associating with a different cluster.
How should the DevOps engineer update the CloudFormation template to resolve this issue?
- A. Reference the ECS cluster in the AWS: CloudFormation: CustomResource resource to trigger an AWS Lambda function that registers the EC2 instances with the appropriate ECS cluster.
- B. Reference the ECS cluster in the AWS: AutoScaling: LaunchConfiguration resource of the UserData property.
- C. Reference the ECS cluster in the AWS:EC2: lnstance resource of the UserData property.
- D. Reference the EC2 instances in the AWS: ECS: Cluster resource and reference the ECS cluster in the AWS: ECS: Service resource.
Answer: B
Explanation:
The UserData property of the AWS: AutoScaling: LaunchConfiguration resource can be used to specify a script that runs when the EC2 instances are launched. This script can include the ECS cluster name as an environment variable for the ECS agent running on the EC2 instances. This way, the EC2 instances will register with the correct ECS cluster. Option A is incorrect because the AWS: ECS: Cluster resource does not have a property to reference the EC2 instances. Option C is incorrect because the EC2 instances are launched by the Auto Scaling group, not by the AWS: EC2: Instance resource. Option D is incorrect because using a custom resource and a Lambda function is unnecessary and overly complex for this scenario. References: AWS::AutoScaling::LaunchConfiguration, Amazon ECS Container Agent Configuration
NEW QUESTION # 227
A company runs an application on Amazon EC2 instances. The company uses a series of AWS CloudFormation stacks to define the application resources. A developer performs updates by building and testing the application on a laptop and then uploading the build output and CloudFormation stack templates to Amazon S3. The developer's peers review the changes before the developer performs the CloudFormation stack update and installs a new version of the application onto the EC2 instances.
The deployment process is prone to errors and is time-consuming when the developer updates each EC2 instance with the new application. The company wants to automate as much of the application deployment process as possible while retaining a final manual approval step before the modification of the application or resources.
The company already has moved the source code for the application and the CloudFormation templates to AWS CodeCommit. The company also has created an AWS CodeBuild project to build and test the application.
Which combination of steps will meet the company's requirements? (Choose two.)
- A. Use AWS CodePipeline to invoke the CodeBuild job, create CloudFormation change sets for each of the application stacks, and pause for a manual approval step. After approval, run the CloudFormation change sets and start the AWS CodeDeploy deployment.
- B. Use AWS CodePipeline to invoke the CodeBuild job, create CloudFormation change sets for each of the application stacks, and pause for a manual approval step. After approval, start the AWS CodeDeploy deployment.
- C. Use AWS CodePipeline to invoke the CodeBuild job, run the CloudFormation update, and pause for a manual approval step. After approval, start the AWS CodeDeploy deployment.
- D. Create an application revision and a deployment group in AWS CodeDeploy. Create an environment in CodeDeploy. Register the EC2 instances to the CodeDeploy environment.
- E. Create an application group and a deployment group in AWS CodeDeploy. Install the CodeDeploy agent on the EC2 instances.
Answer: A,D
NEW QUESTION # 228
A DevOps engineer uses AWS WAF to manage web ACLs across an AWS account. The DevOps engineer must ensure that AWS WAF is enabled for all Application Load Balancers (ALBs) in the account. The DevOps engineer uses an AWS CloudFormation template to deploy an individual ALB and AWS WAF as part of each application stack ' s deployment process. If AWS WAF is removed from the ALB after the ALB is deployed, AWS WAF must be added to the ALB automatically.
Which solution will meet these requirements with the MOST operational efficiency?
- A. Enable AWS Config. Add the alb-waf-enabled managed rule. Create an Amazon EventBridge rule to send all AWS Config ConfigurationItemChangeNotification notification types to an AWS Lambda function. Configure the Lambda function to call the AWS Config start-resource-evaluation API in detective mode.
- B. Enable AWS Config. Add the alb-waf-enabled managed rule. Create an AWS Systems Manager Automation document to add AWS WAF to an ALB. Edit the rule to automatically remediate. Select the Systems Manager Automation document as the remediation action.
- C. Configure an Amazon EventBridge rule to periodically call an AWS Lambda function that calls the detect-stack-drift API on the CloudFormation template. Configure the Lambda function to delete and redeploy the CloudFormation stack if the AWS::WAFv2::WebACLAssociation resource shows a status of drifted.
- D. Configure an Amazon EventBridge rule to periodically call an AWS Lambda function that calls the detect-stack-drift API on the CloudFormation template. Configure the Lambda function to modify the ALB attributes with waf.fail_open.enabled set to true if the AWS::WAFv2::WebACLAssociation resource shows a status of drifted.
Answer: B
Explanation:
AWS Config has a managed rule called alb-waf-enabled that checks whether AWS WAF is enabled on ALBs.
AWS Config supports automatic remediation actions that can be triggered when noncompliance is detected.
By creating a Systems Manager Automation document that adds AWS WAF to the ALB and associating it as the remediation action for the AWS Config rule, the system can automatically detect and remediate any removal of AWS WAF from ALBs without manual intervention.
This is the most operationally efficient and reliable approach to ensure continuous compliance.
Option B lacks automatic remediation. Options C and D rely on drift detection and Lambda, which add complexity and risk downtime during stack replacement.
Reference:
AWS Config Managed Rules: " The alb-waf-enabled rule checks for AWS WAF association with ALBs and supports automatic remediation using Systems Manager Automation. " (AWS Config Managed Rules) AWS Config Remediation: " AWS Config automatic remediation can invoke Systems Manager Automation documents to remediate noncompliance. " (AWS Config Remediation)
NEW QUESTION # 229
A large enterprise is deploying a web application on AWS. The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The application stores data in an Amazon RDS for Oracle DB instance and Amazon DynamoDB.
There are separate environments tor development testing and production.
What is the MOST secure and flexible way to obtain password credentials during deployment?
- A. Launch the EC2 instances with an EC2 1AM role to access AWS services Retrieve the database credentials from AWS Secrets Manager.
- B. Launch the EC2 instances with an EC2 1AM role to access AWS services Store the database passwords in an encrypted config file with the application artifacts.
- C. Retrieve an access key from an AWS Systems Manager plaintext parameter to access AWS services.
Retrieve the database credentials from a Systems Manager SecureString parameter. - D. Retrieve an access key from an AWS Systems Manager securestring parameter to access AWS services.
Retrieve the database credentials from a Systems Manager SecureString parameter.
Answer: A
Explanation:
Explanation
AWS Secrets Manager is a secrets management service that helps you protect access to your applications, services, and IT resources. This service enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle. Using Secrets Manager, you can secure and manage secrets used to access resources in the AWS Cloud, on third-party services, and on-premises. SSM parameter store and AWS Secret manager are both a secure option. However, Secrets manager is more flexible and has more options like password generation. Reference:
https://www.1strategy.com/blog/2019/02/28/aws-parameter-store-vs-aws-secrets-manager/
NEW QUESTION # 230
An ecommerce company has chosen AWS to host its new platform. The company's DevOps team has started building an AWS Control Tower landing zone. The DevOps team has set the identity store within AWS IAM Identity Center (AWS Single Sign-On) to external identity provider (IdP) and has configured SAML 2.0.
The DevOps team wants a robust permission model that applies the principle of least privilege. The model must allow the team to build and manage only the team's own resources.
Which combination of steps will meet these requirements? (Choose three.)
- A. Enable attributes for access control in IAM Identity Center. Map attributes from the IdP as key-value pairs.
- B. Create a group in the IdP. Place users in the group. Assign the group to accounts and the permission sets in IAM Identity Center.
- C. Create permission sets. Attach an inline policy that includes the required permissions and uses the aws:PrincipalTag condition key to scope the permissions.
- D. Create IAM policies that include the required permissions. Include the aws:PrincipalTag condition key.
- E. Create a group in the IdP. Place users in the group. Assign the group to OUs and IAM policies.
- F. Enable attributes for access control in IAM Identity Center. Apply tags to users. Map the tags as key-value pairs.
Answer: B,C,D
NEW QUESTION # 231
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