Amazon Web Services DOP-C02 Exam Questions Free Practice Test

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Questions # 1:

A DevOps administrator is configuring a repository to store a company ' s container images. The administrator needs to configure a lifecycle rule that automatically deletes container images that have a specific tag and that are older than 15 days. Which solution will meet these requirements with the MOST operational efficiency?

Options:

Create a repository in Amazon Elastic Container Registry (Amazon ECR). Add a lifecycle policy to the repository to expire images that have the matching tag after 15 days.

Create a repository in AWS CodeArtifact. Add a repository policy to the CodeArtifact repository to expire old assets that have the matching tag after 15 days.

Create a bucket in Amazon S3. Add a bucket lifecycle policy to expire old objects that have the matching tag after 15 days.

Create an EC2 Image Builder container recipe. Add a build component to expire the container that has the matching tag after 15 days.

Expert Solution

Questions # 2:

A company wants to use AWS CloudFormation for infrastructure deployment. The company has strict tagging and resource requirements and wants to limit the deployment to two Regions. Developers will need to deploy multiple versions of the same application.

Which solution ensures resources are deployed in accordance with company policy?

Options:

Create AWS Trusted Advisor checks to find and remediate unapproved CloudFormation StackSets.

Create a Cloud Formation drift detection operation to find and remediate unapproved CloudFormation StackSets.

Create CloudFormation StackSets with approved CloudFormation templates.

Create AWS Service Catalog products with approved CloudFormation templates.

Expert Solution

Questions # 3:

A company has deployed a critical application in two AWS Regions. The application uses an Application Load Balancer (ALB) in both Regions. The company has Amazon Route 53 alias DNS records for both ALBs.

The company uses Amazon Route 53 Application Recovery Controller to ensure that the application can fail over between the two Regions. The Route 53 ARC configuration includes a routing control for both Regions. The company uses Route 53 ARC to perform quarterly disaster recovery (DR) tests.

During the most recent DR test, a DevOps engineer accidentally turned off both routing controls. The company needs to ensure that at least one routing control is turned on at all times.

Which solution will meet these requirements?

Options:

In Route 53 ARC. create a new assertion safety rule. Apply the assertion safety rule to the two routing controls. Configure the rule with the ATLEAST type with a threshold of 1.

In Route 53 ARC, create a new gating safety rule. Apply the assertion safety rule to the two routing controls. Configure the rule with the OR type with a threshold of 1.

In Route 53 ARC, create a new resource set. Configure the resource set with an AWS: Route53: HealthCheck resource type. Specify the ARNs of the two routing controls as the target resource. Create a new readiness check for the resource set.

In Route 53 ARC, create a new resource set. Configure the resource set with an AWS: Route53RecoveryReadiness: DNSTargetResource resource type. Add the domain names of the two Route 53 alias DNS records as the target resource. Create a new readiness check for the resource set.

Expert Solution

Answer

Questions # 4:

A company has an application that runs on AWS Lambda and sends logs to Amazon CloudWatch Logs. An Amazon Kinesis data stream is subscribed to the log groups in CloudWatch Logs. A single consumer Lambda function processes the logs from the data stream and stores the logs in an Amazon S3 bucket.

The company ' s DevOps team has noticed high latency during the processing and ingestion of some logs.

Which combination of steps will reduce the latency? (Select THREE.)

Options:

Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer.

Increase the ParallelizationFactor setting in the Lambda event source mapping.

Configure reserved concurrency for the Lambda function that processes the logs.

Increase the batch size in the Kinesis data stream.

Turn off the ReportBatchltemFailures setting in the Lambda event source mapping.

Increase the number of shards in the Kinesis data stream.

Expert Solution

Answer

A, B, C

Explanation

The latency in processing and ingesting logs can be caused by several factors, such as the throughput of the Kinesis data stream, the concurrency of the Lambda function, and the configuration of the event source mapping. To reduce the latency, the following steps can be taken:

Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer. This will allow the Lambda function to receive records from the data stream with dedicated throughput of up to 2 MB per second per shard, independent of other consumers1. This will reduce the contention and delay in accessing the data stream.

Increase the ParallelizationFactor setting in the Lambda event source mapping. This will allow the Lambda service to invoke more instances of the function concurrently to process the records from the data stream2. This will increase the processing capacity and reduce the backlog of records in the data stream.

Configure reserved concurrency for the Lambda function that processes the logs. This will ensure that the function has enough concurrency available to handle the increased load from the data stream3. This will prevent the function from being throttled by the account-level concurrency limit.

The other options are not effective or may have negative impacts on the latency. Option D is not suitable because increasing the batch size in the Kinesis data stream will increase the amount of data that the Lambda function has to process in each invocation, which may increase the execution time and latency4. Option E is not advisable because turning off the ReportBatchItemFailures setting in the Lambda event source mapping will prevent the Lambda service from retrying the failed records, which may result in data loss. Option F is not necessary because increasing the number of shards in the Kinesis data stream will increase the throughput of the data stream, but it will not affect the processing speed of the Lambda function, which is the bottleneck in this scenario.

1: Using AWS Lambda with Amazon Kinesis Data Streams - AWS Lambda

2: AWS Lambda event source mappings - AWS Lambda

3: Managing concurrency for a Lambda function - AWS Lambda

4: AWS Lambda function scaling - AWS Lambda

AWS Lambda event source mappings - AWS Lambda

Scaling Amazon Kinesis Data Streams with AWS CloudFormation - Amazon Kinesis Data Streams

Questions # 5:

A DevOps engineer is deploying a new version of a company ' s application in an AWS CodeDeploy deployment group associated with its Amazon EC2 instances. After some time, the deployment fails. The engineer realizes that all the events associated with the specific deployment ID are in a Skipped status and code was not deployed in the instances associated with the deployment group.

What are valid reasons for this failure? (Select TWO.).

Options:

The networking configuration does not allow the EC2 instances to reach the internet via a NAT gateway or internet gateway and the CodeDeploy endpoint cannot be reached.

The IAM user who triggered the application deployment does not have permission to interact with the CodeDeploy endpoint.

The target EC2 instances were not properly registered with the CodeDeploy endpoint.

An instance profile with proper permissions was not attached to the target EC2 instances.

The appspec. yml file was not included in the application revision.

Expert Solution

Questions # 6:

A company operates sensitive workloads across the AWS accounts that are in the company ' s organization in AWS Organizations The company uses an IP address range to delegate IP addresses for Amazon VPC CIDR blocks and all non-cloud hardware.

The company needs a solution that prevents principals that are outside the company ' s IP address range from performing AWS actions In the organization ' s accounts

Which solution will meet these requirements?

Options:

Configure AWS Firewall Manager for the organization. Create an AWS Network Firewall policy that allows only source traffic from the company ' s IP address range Set the policy scope to all accounts in the organization.

In Organizations, create an SCP that denies source IP addresses that are outside of the company s IP address range. Attach the SCP to the organization ' s root

Configure Amazon GuardDuty for the organization. Create a GuardDuty trusted IP address list for the company ' s IP range Activate the trusted IP list for the organization.

In Organizations, create an SCP that allows source IP addresses that are inside of the company s IP address range. Attach the SCP to the organization ' s root.

Expert Solution

Questions # 7:

A company runs an application in an Amazon Elastic Container Service (Amazon ECS) service that is associated with an Elastic Load Balancing (ELB) target group. A DevOps engineer updates the service to include a new task definition version. The DevOps engineer notices that the deployment does not finish running. New tasks enter a stopped state soon after the tasks launch. The task definition references an Amazon CloudWatch Logs log group.

Which issues are most likely the cause of the failing deployment? (Select TWO.)

Options:

The target group health check is failing, which causes Amazon ECS to stop the tasks.

The IAM role that the DevOps engineer used to update the ECS service does not have the Amazon ECS RunTask permission.

The CloudWatch Logs log group that is referenced in the task definition does not exist.

The task role does not have the required permissions to launch the task.

An essential container in the ECS task is exiting.

Expert Solution

Questions # 8:

A company uses AWS CodeArtifact to centrally store Python packages. The CodeArtifact repository is configured with the following repository policy.

" Version " : ”2012-10-17”,

" Statement”: [

{

" Action " : [

" codeartifact:DescribePackageVersion " , " codeartifact:DescribeRepository " ,

" codeartifact:GetPackageVersionReadme " , " codeartifact:GetRepositoryEndpoint " , " codeartifact:ListPackageVersionAssets " , ' ’codeartifact: ListPackageVersionDependencies " , " codeartifact:ListPackageVersions " , ' ’codeartifact :ListPackages " ,

' ’codeartifact: ReadFromRepository "

" Effect " : " Allow " ,

" Resource " : " * " ,

" Principal " :

" Condition " : {

" StringEquals " : {

" aws:PrincipalOrglD " : [ " o-xxxxxxxxxxx "

]

}

]

A development team is building a new project in an account that is in an organization in AWS Organizations. The development team wants to use a Python library that has already been stored in the CodeArtifact repository in the organization. The development team uses AWS CodePipeline and AWS CodeBuild to build the new application. The CodeBuild job that the development team uses to build the application is configured to run in a VPC Because of compliance requirements the VPC has no internet connectivity.

The development team creates the VPC endpoints for CodeArtifact and updates the CodeBuild buildspec yaml file. However, the development team cannot download the Python library from the repository.

Which combination of steps should a DevOps engineer take so that the development team can use Code Artifact? (Select TWO.)

Options:

Create an Amazon S3 gateway endpoint Update the route tables for the subnets that are running the CodeBuild job.

Update the repository policy ' s Principal statement to include the ARN of the role that the CodeBuild project uses.

Share the CodeArtifact repository with the organization by using AWS Resource Access Manager (AWS RAM).

Update the role that the CodeBuild project uses so that the role has sufficient permissions to use the CodeArtifact repository.

Specify the account that hosts the repository as the delegated administrator for CodeArtifact in the organization.

Expert Solution

Questions # 9:

A company has migrated its container-based applications to Amazon EKS and want to establish automated email notifications. The notifications sent to each email address are for specific activities related to EKS components. The solution will include Amazon SNS topics and an AWS Lambda function to evaluate incoming log events and publish messages to the correct SNS topic.

Which logging solution will support these requirements?

Options:

Enable Amazon CloudWatch Logs to log the EKS components. Create a CloudWatch subscription filter for each component with Lambda as the subscription feed destination.

Enable Amazon CloudWatch Logs to log the EKS components. Create CloudWatch Logs Insights queries linked to Amazon EventBridge events that invoke Lambda.

Enable Amazon S3 logging for the EKS components. Configure an Amazon CloudWatch subscription filter for each component with Lambda as the subscription feed destination.

Enable Amazon S3 logging for the EKS components. Configure S3 PUT Object event notifications with AWS Lambda as the destination.

Expert Solution

Questions # 10:

A company has a mobile application that makes HTTP API calls to an Application Load Balancer (ALB). The ALB routes requests to an AWS Lambda function. Many different versions of the application are in use at any given time, including versions that are in testing by a subset of users. The version of the application is defined in the user-agent header that is sent with all requests to the API.

After a series of recent changes to the API, the company has observed issues with the application. The company needs to gather a metric for each API operation by response code for each version of the application that is in use. A DevOps engineer has modified the Lambda function to extract the API operation name, version information from the user-agent header and response code.

Which additional set of actions should the DevOps engineer take to gather the required metrics?

Options:

Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs Insights query to populate CloudWatch metrics from the log lines. Specify response code and application version as dimensions for the metric.

Configure the ALB access logs to write to an Amazon CloudWatch Logs log group. Modify the Lambda function to respond to the ALB with the API operation name, response code, and version number as response metadata. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

Configure AWS X-Ray integration on the Lambda function. Modify the Lambda function to create an X-Ray subsegment with the API operation name, response code, and version number. Configure X-Ray insights to extract an aggregated metric for each API operation name and to publish the metric to Amazon CloudWatch. Specify response code and application version as dimensions for the metric.

Expert Solution

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