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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.

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.

B.

Launch the EC2 instances with an EC2 1AM role to access AWS services Retrieve the database credentials from AWS Secrets Manager.

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.

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.

A company provides an application to customers. The application has an Amazon API Gateway REST API that invokes an AWS Lambda function. On initialization, the Lambda function loads a large amount of data from an Amazon DynamoDB table. The data load process results in long cold-start times of 8-10 seconds. The DynamoDB table has DynamoDB Accelerator (DAX) configured.

Customers report that the application intermittently takes a long time to respond to requests. The application receives thousands of requests throughout the day. In the middle of the day, the application experiences 10 times more requests than at any other time of the day. Near the end of the day, the application ' s request volume decreases to 10% of its normal total.

A DevOps engineer needs to reduce the latency of the Lambda function at all times of the day.

Which solution will meet these requirements?

A.

Configure provisioned concurrency on the Lambda function with a concurrency value of 1. Delete the DAX cluster for the DynamoDB table.

B.

Configure reserved concurrency on the Lambda function with a concurrency value of 0.

C.

Configure provisioned concurrency on the Lambda function. Configure AWS Application Auto Scaling on the Lambda function with provisioned concurrency values set to a minimum of 1 and a maximum of 100.

D.

Configure reserved concurrency on the Lambda function. Configure AWS Application Auto Scaling on the API Gateway API with a reserved concurrency maximum value of 100.

A company is building a dataset catalog that runs on AWS Lambda functions. The company uses AWS CodeBuild to deliver product updates to the Lambda functions as container images by using AWS Serverless Application Model (AWS SAM).

The company uses a multi-account environment. The company has a test AWS account, a production account, and a central shared services account. A company policy requires all software build processes to occur within the shared services account. The company requires a solution that provides artifact storage and CI/CD tooling. The company creates a pipeline in AWS CodePipeline in the shared services account.

Which combination of solutions will meet these requirements? (Select THREE.)

A.

Create four IAM roles: an execution role for CodePipeline in the shared services account, cross-account roles for CodePipeline in the test and production accounts, and an AWS CodeBuild service role. Configure AWS SAM to use the CodeBuild service role to deploy code updates into the test and production accounts.

B.

Deploy AWS CodeArtifact to store build and test artifacts from the deployment pipeline. Use an Amazon Elastic Container Registry (Amazon ECR) repository to store container images.

C.

Add four stages to the pipeline: a source stage to retrieve code from a version control system, a build stage to build and package code updates, a deploy stage for the test environment, and a deploy stage for the production environment.

D.

Deploy an Amazon S3 bucket to store build artifacts and test artifacts from the deployment pipeline. Use an Amazon Elastic Container Registry (Amazon ECR) repository to store container images.

E.

Create three IAM roles: an execution role for CodePipeline in the shared services account, a cross-account role for CodePipeline in the shared services account that grants access to the testing and production accounts, and an AWS CodeBuild service role. Configure AWS SAM to use the CodeBuild service role to deploy code updates into the test and production accounts.

F.

Add four stages to the pipeline: a source stage to retrieve code from a version control system, a build stage to build the container images from source code, a deploy stage for the test environment, and a deploy stage for the production environment.

A company is launching an application. The application must use only approved AWS services. The account that runs the application was created less than 1 year ago and is assigned to an AWS Organizations OU.

The company needs to create a new Organizations account structure. The account structure must have an appropriate SCP that supports the use of only services that are currently active in the AWS account.

The company will use AWS Identity and Access Management (IAM) Access Analyzer in the solution.

Which solution will meet these requirements?

A.

Create an SCP that allows the services that IAM Access Analyzer identifies. Create an OU for the account. Move the account into the new OU. Attach the new SCP to the new OU. Detach the default FullAWSAccess SCP from the new OU.

B.

Create an SCP that denies the services that IAM Access Analyzer identifies. Create an OU for the account. Move the account into the new OIJ. Attach the new SCP to the new OU.

C.

Create an SCP that allows the services that IAM Access Analyzer identifies. Attach the new SCP to the organization ' s root.

D.

Create an SCP that allows the services that IAM Access Analyzer identifies. Create an OU for the account. Move the account into the new OU. Attach the new SCP to the management account. Detach the default FullAWSAccess SCP from the new OU.

A company runs an application on Amazon EKS. The company needs comprehensive logging for control plane and nodes, analyze API requests, and monitor container performance with minimal operational overhead.

Which solution meets these requirements?

A.

Enable CloudTrail for control plane logging; deploy Logstash as a ReplicaSet on nodes; use OpenSearch to store and analyze logs.

B.

Enable control plane logging for EKS and send logs to CloudWatch; use CloudWatch Container Insights for node and container logs; use CloudWatch Logs Insights to query logs.

C.

Enable API server control plane logging and send to S3; deploy Kubernetes Event Exporter on nodes; send logs to S3; use Athena and QuickSight for analysis.

D.

Use AWS Distro for OpenTelemetry; stream logs to Firehose; analyze data in Redshift.

A company runs an application on one Amazon EC2 instance. Application metadata is stored in Amazon S3 and must be retrieved if the instance is restarted. The instance must restart or relaunch automatically if the instance becomes unresponsive.

Which solution will meet these requirements?

A.

Create an Amazon CloudWatch alarm for the StatusCheckFailed metric. Use the recover action to stop and start the instance. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.

B.

Configure AWS OpsWorks, and use the auto healing feature to stop and start the instance. Use a lifecycle event in OpsWorks to pull the metadata from Amazon S3 and update it on the instance.

C.

Use EC2 Auto Recovery to automatically stop and start the instance in case of a failure. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.

D.

Use AWS CloudFormation to create an EC2 instance that includes the UserData property for the EC2 resource. Add a command in UserData to retrieve the application metadata from Amazon S3.

A company uses AWS CloudFormation stacks to deploy updates to its application. The stacks consist of different resources. The resources include AWS Auto Scaling groups, Amazon EC2 instances, Application Load Balancers (ALBs), and other resources that are necessary to launch and maintain independent stacks. Changes to application resources outside of CloudFormation stack updates are not allowed.

The company recently attempted to update the application stack by using the AWS CLI. The stack failed to update and produced the following error message: " ERROR: both the deployment and the CloudFormation stack rollback failed. The deployment failed because the following resource(s) failed to update: [AutoScalingGroup]. "

The stack remains in a status of UPDATE_ROLLBACK_FAILED. *

Which solution will resolve this issue?

A.

Update the subnet mappings that are configured for the ALBs. Run the aws cloudformation update-stack-set AWS CLI command.

B.

Update the 1AM role by providing the necessary permissions to update the stack. Run the aws cloudformation continue-update-rollback AWS CLI command.

C.

Submit a request for a quota increase for the number of EC2 instances for the account. Run the aws cloudformation cancel-update-stack AWS CLI command.

D.

Delete the Auto Scaling group resource. Run the aws cloudformation rollback-stack AWS CLI command.

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.)

A.

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

B.

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

C.

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

D.

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

E.

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

A company operates a fleet of Amazon EC2 instances that host critical applications and handle sensitive data. The EC2 instances must have up-to-date security patches to protect against vulnerabilities and ensure compliance with industry standards and regulations. The company needs an automated solution to monitor and enforce security patch compliance across the EC2 fleet.

Which solution will meet these requirements?

A.

Configure AWS Systems Manager Patch Manager and AWS Config with defined patch baselines and compliance rules that run Systems Manager Automation documents.

B.

Access each EC2 instance by using SSH keys . Check for and apply security updates by using package managers. Verify the installations.

C.

Configure Auto Scaling groups that have scaling policies based on Amazon CloudWatch metrics. Configure Auto Scaling launch templates that launch new instances by using the latest AMIs that contain new security patches.

D.

Use AWS CloudFormation to recreate EC2 instances with the latest AMI every time a new patch becomes available. Use AWS CloudTrail logs to monitor patch compliance and to send alerts for non-compliant instances.

A company is hosting a static website from an Amazon S3 bucket. The website is available to customers at example.com. The company uses an Amazon Route 53 weighted routing policy with a TTL of 1 day. The company has decided to replace the existing static website with a dynamic web application. The dynamic web application uses an Application Load Balancer (ALB) in front of a fleet of Amazon EC2 instances.

On the day of production launch to customers, the company creates an additional Route 53 weighted DNS record entry that points to the ALB with a weight of 255 and a TTL of 1 hour. Two days later, a DevOps engineer notices that the previous static website is displayed sometimes when customers navigate to example.com.

How can the DevOps engineer ensure that the company serves only dynamic content for example.com?

A.

Delete all objects, including previous versions, from the S3 bucket that contains the static website content.

B.

Update the weighted DNS record entry that points to the S3 bucket. Apply a weight of 0. Specify the domain reset option to propagate changes immediately.

C.

Configure webpage redirect requests on the S3 bucket with a hostname that redirects to the ALB.

D.

Remove the weighted DNS record entry that points to the S3 bucket from the example.com hosted zone. Wait for DNS propagation to become complete.