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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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To become an AWS Certified DevOps Engineer - Professional, candidates must possess a strong understanding of AWS services, such as Elastic Compute Cloud (EC2), Elastic Beanstalk, and Amazon Simple Storage Service (S3), as well as proficiency in continuous integration and continuous delivery (CI/CD) practices. The DOP-C02 exam consists of 75 multiple-choice and multiple-response questions, and candidates have 180 minutes to complete the exam. The passing score for this certification is 750 out of 1000.

Amazon DOP-C02 certification exam is an excellent opportunity for professionals to validate their skills and knowledge in AWS DevOps engineering. AWS Certified DevOps Engineer - Professional certification is highly valued in the industry and provides many opportunities for career growth. DOP-C02 Exam Tests the candidate's ability to design, manage, and implement AWS solutions using various DevOps tools and practices. AWS Certified DevOps Engineer - Professional certification is valid for three years, and professionals can renew it by passing the recertification exam or completing the required continuing education credits.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q443-Q448):

NEW QUESTION # 443
A company uses an AWS CodeArtifact repository to store Python packages that the company developed internally. A DevOps engineer needs to use AWS CodeDeploy to deploy an application to an Amazon EC2 instance. The application uses a Python package that is stored in the CodeArtifact repository. A BeforeInstall lifecycle event hook will install the package.
The DevOps engineer needs to grant the EC2 instance access to the CodeArtifact repository.
Which solution will meet this requirement?

A. Create a service-linked role for CodeArtifact. Associate the role with the EC2 instance. Use the aws codeartifact get-authorization-token CLI command on the instance.
B. Configure ACLs on the CodeArtifact repository to allow the EC2 instance to access the Python package.
C. Create an instance profile that contains an IAM role that has access to CodeArtifact. Associate the instance profile with the EC2 instance. Use the aws codeartifact login CLI command on the instance.
D. Configure a resource-based policy for the CodeArtifact repository that allows the Read-FromRepository action for the EC2 instance principal.

Answer: C

Explanation:
To allow an EC2 instance to access CodeArtifact, an IAM role attached via an instance profile must be granted permissions to access the CodeArtifact repository. The EC2 instance assumes this role.
The instance then uses the AWS CLI command aws codeartifact login to authenticate and configure the package manager (e.g., pip) to use the CodeArtifact repository. This command obtains an authorization token and sets up repository credentials securely on the instance.
Service-linked roles (Option A) are managed by AWS services, not used for instance access. CodeArtifact does not support ACLs (Option C), and resource-based policies (Option B) do not grant access to EC2 instances by principal.
This method is standard for securely managing credentials and access to CodeArtifact in automated deployments.
Reference:
AWS CodeArtifact Access Control and Authentication: " Use IAM roles attached to compute resources and the aws codeartifact login command to authenticate to repositories. " (AWS CodeArtifact Developer Guide)

NEW QUESTION # 444
A company has deployed an application in a production VPC in a single AWS account. The application is popular and is experiencing heavy usage. The company's security team wants to add additional security, such as AWS WAF, to the application deployment. However, the application's product manager is concerned about cost and does not want to approve the change unless the security team can prove that additional security is necessary.
The security team believes that some of the application's demand might come from users that have IP addresses that are on a deny list. The security team provides the deny list to a DevOps engineer. If any of the IP addresses on the deny list access the application, the security team wants to receive automated notification in near real time so that the security team can document that the application needs additional security. The DevOps engineer creates a VPC flow log for the production VPC.
Which set of additional steps should the DevOps engineer take to meet these requirements MOST cost- effectively?

A. Create a log group in Amazon CloudWatch Logs. Create an Amazon S3 bucket to hold query results.
Configure the VPC flow log to capture all traffic and to send the data to the log group. Deploy an Amazon Athena CloudWatch connector in AWS Lambda. Connect the connector to the log group.
Configure Athena to periodically query for all accepted traffic from the IP addresses on the deny list and to store the results in the S3 bucket. Configure an S3 event notification to automatically notify the security team through an Amazon Simple Notification Service (Amazon SNS) topic when new objects are added to the S3 bucket.
B. Create an Amazon S3 bucket for log files. Configure the VPC flow log to capture accepted traffic and to send the data to the S3 bucket. Configure an Amazon OpenSearch Service cluster and domain for the log files. Create an AWS Lambda function to retrieve the logs from the S3 bucket, format the logs, and load the logs into the OpenSearch Service cluster. Schedule the Lambda function to run every 5 minutes. Configure an alert and condition in OpenSearch Service to send alerts to the security team through an Amazon Simple Notification Service (Amazon SNS) topic when access from the IP addresses on the deny list is detected.
C. Create an Amazon S3 bucket for log files. Configure the VPC flow log to capture all traffic and to send the data to the S3 bucket. Configure Amazon Athena to return all log files in the S3 bucket for IP addresses on the deny list. Configure Amazon QuickSight to accept data from Athena and to publish the data as a dashboard that the security team can access. Create a threshold alert of 1 for successful access.
Configure the alert to automatically notify the security team as frequently as possible when the alert threshold is met.
D. Create a log group in Amazon CloudWatch Logs. Configure the VPC flow log to capture accepted traffic and to send the data to the log group. Create an Amazon CloudWatch metric filter for IP addresses on the deny list. Create a CloudWatch alarm with the metric filter as input. Set the period to 5 minutes and the datapoints to alarm to 1. Use an Amazon Simple Notification Service (Amazon SNS) topic to send alarm notices to the security team.

Answer: D

NEW QUESTION # 445
A company manages AWS accounts for application teams in AWS Control Tower. Individual application teams are responsible for securing their respective AWS accounts.
A DevOps engineer needs to enable Amazon GuardDuty for all AWS accounts in which the application teams have not already enabled GuardDuty. The DevOps engineer is using AWS CloudFormation StackSets from the AWS Control Tower management account.
How should the DevOps engineer configure the CloudFormation template to prevent failure during the StackSets deployment?

A. Manually discover the list of AWS account IDs where GuardDuty is not enabled Use the CloudFormation Fn: ImportValue intrinsic function to import the list of account IDs into the CloudFormation template to skip deployment for the listed AWS accounts.
B. Use the CloudFormation Fn. GetAtt intrinsic function to check whether GuardDuty is already enabled If GuardDuty is not already enabled use the Resources section of the CloudFormation template to enable GuardDuty.
C. Create a CloudFormation custom resource that invokes an AWS Lambda function. Configure the Lambda function to conditionally enable GuardDuty if GuardDuty is not already enabled in the accounts.
D. Use the Conditions section of the CloudFormation template to enable GuardDuty in accounts where GuardDuty is not already enabled.

Answer: C

Explanation:
This solution will meet the requirements because it will use a CloudFormation custom resource to execute custom logic during the stack set operation. A custom resource is a resource that you define in your template and that is associated with an AWS Lambda function. The Lambda function runs whenever the custom resource is created, updated, or deleted, and can perform any actions that are supported by the AWS SDK. In this case, the Lambda function can use the GuardDuty API to check whether GuardDuty is already enabled in each target account, and if not, enable it. This way, the DevOps engineer can avoid deploying the stack set to accounts that already have GuardDuty enabled, and prevent failure during the deployment.

NEW QUESTION # 446
A company requires that its internally facing web application be highly available. The architecture is made up of one Amazon EC2 web server instance and one NAT instance that provides outbound internet access for updates and accessing public data.
Which combination of architecture adjustments should the company implement to achieve high availability? (Choose two.)

A. Configure an Application Load Balancer in front of the EC2 instance. Configure Amazon CloudWatch alarms to recover the EC2 instance upon host failure.
B. Add the NAT instance to an EC2 Auto Scaling group that spans multiple Availability Zones. Update the route tables.
C. Replace the NAT instance with a NAT gateway that spans multiple Availability Zones. Update the route tables.
D. Replace the NAT instance with a NAT gateway in each Availability Zone. Update the route tables.
E. Create additional EC2 instances spanning multiple Availability Zones. Add an Application Load Balancer to split the load between them.

Answer: D,E

NEW QUESTION # 447
A company uses AWS CodePipeline pipelines to automate releases of its application A typical pipeline consists of three stages build, test, and deployment. The company has been using a separate AWS CodeBuild project to run scripts for each stage. However, the company now wants to use AWS CodeDeploy to handle the deployment stage of the pipelines.
The company has packaged the application as an RPM package and must deploy the application to a fleet of Amazon EC2 instances. The EC2 instances are in an EC2 Auto Scaling group and are launched from a common AMI.
Which combination of steps should a DevOps engineer perform to meet these requirements? (Choose two.)

A. Create an application in CodeDeploy. Configure an in-place deployment type. Specify the Auto Scaling group as the deployment target. Add a step to the CodePipeline pipeline to use EC2 Image Builder to create a new AMI. Configure CodeDeploy to deploy the newly created AMI.
B. Create an application in CodeDeploy. Configure an in-place deployment type. Specify the EC2 instances that are launched from the common AMI as the deployment target. Update the CodePipeline pipeline to use the CodeDeploy action to deploy the application.
C. Create a new version of the common AMI with the CodeDeploy agent installed. Create an AppSpec file that contains application deployment scripts and grants access to CodeDeploy.
D. Create an application in CodeDeploy. Configure an in-place deployment type. Specify the Auto Scaling group as the deployment target. Update the CodePipeline pipeline to use the CodeDeploy action to deploy the application.
E. Create a new version of the common AMI with the CodeDeploy agent installed. Update the IAM role of the EC2 instances to allow access to CodeDeploy.

Answer: D,E

Explanation:
Explanation
https://docs.aws.amazon.com/codedeploy/latest/userguide/integrations-aws-auto-scaling.html

NEW QUESTION # 448
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