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Viewing questions 106-120 out of questions

Questions # 106:

A company is developing and hosting several projects in the AWS Cloud. The projects are developed across multiple AWS accounts under the same organization in AWS Organizations. The company requires the cost lor cloud infrastructure to be allocated to the owning project. The team responsible for all of the AWS accounts has discovered that several Amazon EC2 instances are lacking the Project tag used for cost allocation.

Which actions should a solutions architect take to resolve the problem and prevent it from happening in the future? (Select THREE.)

Options:

Create an AWS Config rule in each account to find resources with missing tags.

Create an SCP in the organization with a deny action for ec2:Runlnstances if the Project tag is missing.

Use Amazon Inspector in the organization to find resources with missing tags.

Create an IAM policy in each account with a deny action for ec2:RunInstances if the Project tag is missing.

Create an AWS Config aggregator for the organization to collect a list of EC2 instances with the missing Project tag.

Use AWS Security Hub to aggregate a list of EC2 instances with the missing Project tag.

Questions # 107:

A company uses an organization in AWS Organizations to manage the company's AWS accounts. The company uses AWS CloudFormation to deploy all infrastructure. A finance team wants to buikJ a chargeback model The finance team asked each business unit to tag resources by using a predefined list of project values.

When the finance team used the AWS Cost and Usage Report in AWS Cost Explorer and filtered based on project, the team noticed noncompliant project values. The company wants to enforce the use of project tags for new resources.

Which solution will meet these requirements with the LEAST effort?

Options:

Create a tag policy that contains the allowed project tag values in the organization's management account. Create an SCP that denies the cloudformation:CreateStack API operation unless a project tag is added. Attach the SCP to each OU.

Create a tag policy that contains the allowed project tag values in each OU. Create an SCP that denies the cloudformation:CreateStack API operation unless a project tag is added. Attach the SCP to each OU.

Create a tag policy that contains the allowed project tag values in the AWS management account. Create an 1AM policy that denies the cloudformation:CreateStack API operation unless a project tag is added. Assign the policy to each user.

Use AWS Service Catalog to manage the CloudFoanation stacks as products. Use a TagOptions library to control project tag values. Share the portfolio with all OUs that are in the organization.

Questions # 108:

A company is using AWS CloudFormation as its deployment tool for all applications. It stages all application binaries and templates within Amazon S3 buckets with versioning enabled. Developers use an Amazon EC2 instance with IDE access to modify and test applications. The developers want to implement CI/CD with AWS CodePipeline with the following requirements:

Use AWS CodeCommit for source control.

Automate unit testing and security scanning.

Alert developers when unit tests fail.

Toggle application features and allow lead developer approval before deployment.

Which solution will meet these requirements?

Options:

Use AWS CodeBuild for testing and scanning. Use EventBridge and SNS for alerts. Use AWS CDK with a manifest to toggle features. Use a manual approval stage.

Use Lambda for testing and alerts. Use AWS Amplify plugins for feature toggles. Use SES for manual approval.

Use Jenkins and SES for alerts. Use nested CloudFormation stacks for features. Use Lambda for approvals.

Use CodeDeploy for testing and scanning. Use CloudWatch alarms and SNS. Use Docker images for features and AWS CLI for toggles.

Questions # 109:

A company hosts a blog post application on AWS using Amazon API Gateway, Amazon DynamoDB, and AWS Lambda. The application currently does not use

API keys to authorize requests. The API model is as follows:

GET/posts/[postid] to get post details

GET/users[userid] to get user details

GET/comments/[commentid] to get comments details

The company has noticed users are actively discussing topics in the comments section, and the company wants to increase user engagement by marking the comments appears in real time.

Which design should be used to reduce comment latency and improve user experience?

Options:

Use edge-optimized API with Amazon CloudFront to cache API responses.

Modify the blog application code to request GET comment[commented] every 10 seconds.

Use AWS AppSync and leverage WebSockets to deliver comments.

Change the concurrency limit of the Lambda functions to lower the API response time.

Questions # 110:

A large company runs workloads in VPCs that are deployed across hundreds of AWS accounts. Each VPC consists to public subnets and private subnets that span across multiple Availability Zones. NAT gateways are deployed in the public subnets and allow outbound connectivity to the internet from the private subnets.

A solutions architect is working on a hub-and-spoke design. All private subnets in the spoke VPCs must route traffic to the internet through an egress VPC. The solutions architect already has deployed a NAT gateway in an egress VPC in a central AWS account.

Which set of additional steps should the solutions architect take to meet these requirements?

Options:

Create peering connections between the egress VPC and the spoke VPCs. Configure the required routing to allow access to the internet.

Create a transit gateway, and share it with the existing AWS accounts. Attach existing VPCs to the transit gateway Configure the required routing to allow access to the internet.

Create a transit gateway in every account. Attach the NAT gateway to the transit gateways. Configure the required routing to allow access to the internet.

Create an AWS PrivateLink connection between the egress VPC and the spoke VPCs. Configure the required routing to allow access to the internet

Questions # 111:

A company recently deployed an application on AWS. The application uses Amazon DynamoDB.The company measured the application load and configured the RCUs and WCUs on the DynamoDB table to match the expected peak load. The peak load occurs once a week for a 4-hour period and is double the average load. The application load is close to the average load tor the rest of the week. The access pattern includes many more writes to the table than reads of the table.

A solutions architect needs to implement a solution to minimize the cost of the table.

Which solution will meet these requirements?

Options:

Use AWS Application Auto Scaling to increase capacity during the peak period. Purchase reserved RCUs and WCUs to match the average load.

Configure on-demand capacity mode for the table.

Configure DynamoDB Accelerator (DAX) in front of the table. Reduce the provisioned read capacity to match the new peak load on the table.

Configure DynamoDB Accelerator (DAX) in front of the table. Configure on-demand capacity mode for the table.

Questions # 112:

A company has many separate AWS accounts and uses no central billing or management. Each AWS account hosts services for different departments in the company. The company has a Microsoft Azure Active Directory that is deployed.

A solution architect needs to centralize billing and management of the company’s AWS accounts. The company wants to start using identify federation instead of manual user management. The company also wants to use temporary credentials instead of long-lived access keys.

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

Options:

Create a new AWS account to serve as a management account. Deploy an organization in AWS Organizations. Invite each existing AWS account to join the organization. Ensure that each account accepts the invitation.

Configure each AWS Account’s email address to be aws+<account id>@example.com so that account management email messages and invoices are sent to the same place.

Deploy AWS IAM Identity Center (AWS Single Sign-On) in the management account. Connect IAM Identity Center to the Azure Active Directory. Configure IAM Identity Center for automatic synchronization of users and groups.

Deploy an AWS Managed Microsoft AD directory in the management account. Share the directory with all other accounts in the organization by using AWS Resource Access Manager (AWS RAM).

Create AWS IAM Identity Center (AWS Single Sign-On) permission sets. Attach the permission sets to the appropriate IAM Identity Center groups and AWS accounts.

Configure AWS Identity and Access Management (IAM) in each AWS account to use AWS Managed Microsoft AD for authentication and authorization.

Questions # 113:

A company wants to migrate its website to AWS. The website uses microservices and runs on containers that are deployed in an on-premises, self-managed Kubernetes cluster. All the manifests that define the deployments for the containers in the Kubernetes deployment are in source control.

All data for the website is stored in a PostgreSQL database. An open source container image repository runs alongside the on-premises environment.

A solutions architect needs to determine the architecture that the company will use for the website on AWS.

Which solution will meet these requirements with the LEAST effort to migrate?

Options:

Create an AWS App Runner service. Connect the App Runner service to the open source container image repository. Deploy the manifests from on premises to the App Runner service. Create an Amazon RDS for PostgreSQL database.

Create an Amazon EKS cluster that has managed node groups. Copy the application containers to a new Amazon ECR repository. Deploy the manifests from on premises to the EKS cluster. Create an Amazon Aurora PostgreSQL DB cluster.

Create an Amazon ECS cluster that has an Amazon EC2 capacity pool. Copy the application containers to a new Amazon ECR repository. Register each container image as a new task definition. Configure ECS services for each task definition to match the original Kubernetes deployments. Create an Amazon Aurora PostgreSQL DB cluster.

Rebuild the on-premises Kubernetes cluster by hosting the cluster on Amazon EC2 instances. Migrate the open source container image repository to the EC2 instances. Deploy the manifests from on premises to the new cluster on AWS. Deploy an open source PostgreSQL database on the new cluster.

Questions # 114:

A security engineer determined that an existing application retrieves credentials to an Amazon RDS for MySQL database from an encrypted file in Amazon S3. For the next version of the application, the security engineer wants to implement the following application design changes to improve security:

The database must use strong, randomly generated passwords stored in a secure AWS managed service.

The application resources must be deployed through AWS CloudFormation.

The application must rotate credentials for the database every 90 days.

A solutions architect will generate a CloudFormation template to deploy the application.

Which resources specified in the CloudFormation template will meet the security engineer's requirements with the LEAST amount of operational overhead?

Options:

Generate the database password as a secret resource using AWS Secrets Manager. Create an AWS Lambda function resource to rotate the database password. Specify a Secrets Manager RotationSchedule resource to rotate the database password every 90 days.

Generate the database password as a SecureString parameter type using AWS Systems Manager Parameter Store. Create an AWS Lambda function resource to rotate the database password. Specifya Parameter Store RotationSchedule resource to rotate the database password every 90 days.

Generate the database password as a secret resource using AWS Secrets Manager. Create an AWS Lambda function resource to rotate the database password. Create an Amazon EventBridge scheduled rule resource to trigger the Lambda function password rotation every 90 days.

Generate the database password as a SecureString parameter type using AWS Systems Manager Parameter Store. Specify an AWS AppSync DataSource resource to automatically rotate the database password every 90 days.

Questions # 115:

A company operates an on-premises software-as-a-service (SaaS) solution that ingests several files daily. The company provides multiple public SFTP endpoints to its customers to facilitate the file transfers. The customers add the SFTP endpoint IP addresses to their firewall allow list for outbound traffic. Changes to the SFTP endmost IP addresses are not permitted.

The company wants to migrate the SaaS solution to AWS and decrease the operational overhead of the file transfer service.

Which solution meets these requirements?

Options:

Register the customer-owned block of IP addresses in the company's AWS account. Create Elastic IP addresses from the address pool and assign them to an AWS Transfer for SFTP endpoint. Use AWS Transfer to store the files in Amazon S3.

Add a subnet containing the customer-owned block of IP addresses to a VPC Create Elastic IP addresses from the address pool and assign them to an Application Load Balancer (ALB). Launch EC2 instances hosting FTP services in an Auto Scaling group behind the ALB. Store the files in attached Amazon Elastic Block Store (Amazon EBS) volumes.

Register the customer-owned block of IP addresses with Amazon Route 53. Create alias records in Route 53 that point to a Network Load Balancer (NLB). Launch EC2 instances hosting FTP services in an Auto Scaling group behind the NLB. Store the files in Amazon S3.

Register the customer-owned block of IP addresses in the company's AWS account. Create Elastic IP addresses from the address pool and assign them to an Amazon S3 VPC endpoint. Enable SFTP support on the S3 bucket.

Questions # 116:

A company has migrated an application from on premises to AWS. The application frontend is a static website that runs on two Amazon EC2 instances behind an Application Load Balancer (ALB). The application backend is a Python application that runs on three EC2 instances behind another ALB. The EC2 instances are large, general purpose On-Demand Instances that were sized to meet the on-premises specifications for peak usage of the application.

The application averages hundreds of thousands of requests each month. However, the application is used mainly during lunchtime and receives minimal traffic during the rest of the day.

A solutions architect needs to optimize the infrastructure cost of the application without negatively affecting the application availability.

Which combination of steps will meet these requirements? (Choose two.)

Options:

Change all the EC2 instances to compute optimized instances that have the same number of cores as the existing EC2 instances.

Move the application frontend to a static website that is hosted on Amazon S3.

Deploy the application frontend by using AWS Elastic Beanstalk. Use the same instance type for the nodes.

Change all the backend EC2 instances to Spot Instances.

Deploy the backend Python application to general purpose burstable EC2 instances that have the same number of cores as the existing EC2 instances.

Questions # 117:

A company has many AWS accounts in an organization in AWS Organizations. The accounts contain many Amazon EC2 instances that run different types of workloads. The workloads have different usage patterns.

The company needs recommendations for how to rightsize the EC2 instances based on CPU and memory usage during the last 90 days.

Which combination of steps will provide these recommendations? (Select THREE.)

Options:

Opt in to AWS Compute Optimizer and enable trusted access for Compute Optimizer for the organization.

Configure a delegated administrator account for AWS Systems Manager for the organization.

Use an AWS CloudFormation stack set to enable detailed monitoring for all the EC2 instances.

Install and configure the Amazon CloudWatch agent on all the EC2 instances to send memory utilization metrics to CloudWatch.

Activate enhanced metrics in AWS Compute Optimizer.

Configure AWS Systems Manager to pass metrics to AWS Trusted Advisor.

Questions # 118:

A company is migrating mobile banking applications to run on Amazon EC2 instances in a VPC. Backend service applications run in an on-premises data center. The data center has an AWS Direct Connect connection into AWS. The applications that run in the VPC need to resolve DNS requests to an on-premises Active Directory domain that runs in the data center.

Which solution will meet these requirements with the LEAST administrative overhead?

Options:

Provision a set of EC2 instances across two Availability Zones in the VPC as caching DNS servers to resolve DNS queries from the application servers within the VPC.

Provision an Amazon Route 53 private hosted zone. Configure NS records that point to on-premises DNS servers.

Create DNS endpoints by using Amazon Route 53 Resolver Add conditional forwarding rules to resolve DNS namespaces between the on-premises data center and the VPC.

Provision a new Active Directory domain controller in the VPC with a bidirectional trust between this new domain and the on-premises Active Directory domain.

Questions # 119:

A company has a serverless application comprised of Amazon CloudFront, Amazon API Gateway, and AWS Lambda functions. The current deployment process of the application code is to create a new version number of the Lambda function and run an AWS CLI script to update. If the new function version has errors, another CLI script reverts by deploying the previous working version of the function. The company would like to decrease the time to deploy new versions of the application logic provided by the Lambda functions, and also reduce the time to detect and revert when errors are identified.

How can this be accomplished?

Options:

Create and deploy nested AWS CloudFormation stacks with the parent stack consisting of the AWS CloudFront distribution and API Gateway, and the child stack containing the Lambda function. For changes to Lambda, create an AWS CloudFormation change set and deploy; if errors are triggered, revert the AWS CloudFormation change set to the previous version.

Use AWS SAM and built-in AWS CodeDeploy to deploy the new Lambda version, gradually shift traffic to the new version, and use pre-traffic and post-traffic test functions to verify code. Rollback if Amazon CloudWatch alarms are triggered.

Refactor the AWS CLI scripts into a single script that deploys the new Lambda version. When deployment is completed, the script tests execute. If errors are detected, revert to the previous Lambda version.

Create and deploy an AWS CloudFormation stack that consists of a new API Gateway endpoint that references the new Lambda version. Change the CloudFront origin to the new API Gateway endpoint, monitor errors and if detected, change the AWS CloudFront origin to the previous API Gateway endpoint.

Questions # 120:

A company is using AWS Organizations to manage multiple accounts Due to regulatory requirements, the company wants to restrict specific member accounts to certain AWS Regions, where they are permitted to deploy resources The resources in the accounts must be tagged enforced based on a group standard and centrally managed with minimal configuration.

What should a solutions architect do to meet these requirements'?

Options:

Create an AWS Config rule in the specific member accounts to limit Regions and apply a tag policy.

From the AWS Billing and Cost Management console in the management account, disable Regions for the specific member accounts and apply a tag policy on the root.

Associate the specific member accounts with the root Apply a tag policy and an SCP using conditions to limit Regions.

Associate the specific member accounts with a new OU. Apply a tag policy and an SCP using conditions to limit Regions.