A company uses AWS Organizations to manage its development environment. Each development team at the company has its own AWS account. Each account has a single VPC and CIDR blocks that do not overlap.
The company has an Amazon Aurora DB cluster in a shared services account. All the development teams need to work with live data from the DB cluster.
Which solution will provide the required connectivity to the DB cluster with the LEAST operational overhead?
A. Create an AWS Resource Access Manager (AWS RAM) resource share for the DB cluster. Share the DB cluster with all the development accounts.
B. Create a transit gateway in the shared services account. Create an AWS Resource Access Manager (AWS RAM) resource share for the transit gateway. Share the transit gateway with all the development accounts. Instruct the developers to accept the resource share. Configure networking.
C. Create an Application Load Balancer (ALB) that points to the IP address of the DB cluster. Create an AWS PrivateLink endpoint service that uses the ALB. Add permissions to allow each development account to connect to the endpoint service.
D. Create an AWS Site-to-Site VPN connection in the shared services account. Configure networking. Use AWS Marketplace VPN software in each development account to connect to the Site-to-Site VPN connection.
A company needs to migrate 60 on-premises legacy applications to AWS. The applications are based on the NET Framework and run on Windows.
The company needs a solution that minimizes migration time and requires no application code changes. The company also does not want to manage the infrastructure.
Which solution will meet these requirements?
A. Refactor the applications and containerize them by using AWS Toolkit for NET Refactoring. Use Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type to host the containerized applications.
B. Use the Windows Web Application Migration Assistant to migrate the applications to AWS Elastic Beanstalk. Use Elastic Beanstalk to deploy and manage the applications.
C. Use the Windows Web Application Migration Assistant to migrate the applications to Amazon EC2 instances. Use the EC2 instances to deploy and manage the applications.
D. Refactor the applications and containerize them by using AWS Toolkit for NET Refactoring. Use Amazon Elastic Kubernetes Service (Amazon EKS) with the Fargate launch type to host the containerized applications.
A company used AWS CloudFormation to create all new infrastructure in its AWS member accounts. The resources rarely change and are properly sized for the expected load. The monthly AWS bill is consistent.
Occasionally, a developer creates a new resource for testing and forgets to remove the resource when the test is complete. Most of these tests last a few days before the resources are no longer needed.
The company wants to automate the process of finding unused resources. A solutions architect needs to design a solution that determines whether the cost in the AWS bill is increasing. The solution must help identify resources that cause an increase in cost and must automatically notify the company's operations team.
Which solution will meet these requirements?
A. Turn on billing alerts. Use AWS Cost Explorer to determine the costs for the past month. Create an Amazon CloudWatch alarm for total estimated charges. Specify a cost threshold that is higher than the costs that Cost Explorer determined. Add a notification to alert the operations team if the alarm threshold is breached.
B. Turn on billing alerts. Use AWS Cost Explorer to determine the average monthly costs for the past 3 months. Create an Amazon CloudWatch alarm for total estimated charges. Specify a cost threshold that is higher than the costs that Cost Explorer determined. Add a notification to alert the operations team if the alarm threshold is breached.
C. Use AWS Cost Anomaly Detection to create a cost monitor that has a monitor type of Linked account. Create a subscription to send daily AWS cost summaries to the operations team. Specify a threshold for cost variance.
D. Use AWS Cost Anomaly Detection to create a cost monitor that has a monitor type of AWS services. Create a subscription to send daily AWS cost summaries to the operations team. Specify a threshold for cost variance.
A company needs to use an AWS Transfer Family SFTP-enabled server with an Amazon S3 bucket to receive updates from a third-party data supplier. The data is encrypted with Pretty Good Privacy (PGP) encryption. The company needs a solution that will automatically decrypt the data after the company receives the data. A solutions architect will use a Transfer Family managed workflow. The company has created an IAM service role by using an IAM policy that allows access to AWS Secrets Manager and the S3 bucket. The role's trust relationship allows the transfer amazonaws.com service to assume the role.
What should the solutions architect do next to complete the solution for automatic decryption?
A. Store the PGP public key in Secrets Manager. Add a nominal step in the Transfer Family managed workflow to decrypt files. Configure PGP encryption parameters in the nominal step. Associate the workflow with the Transfer Family server.
B. Store the PGP private key in Secrets Manager. Add an exception-handling step in the Transfer Family managed workflow to decrypt files. Configure PGP encryption parameters in the exception handler. Associate the workflow with the SFTP user.
C. Store the PGP private key in Secrets Manager. Add a nominal step in the Transfer Family managed workflow to decrypt files. Configure PGP decryption parameters in the nominal step. Associate the workflow with the Transfer Family server.
D. Store the PGP public key in Secrets Manager. Add an exception-handling step in the Transfer Family managed workflow to decrypt files. Configure PGP decryption parameters in the exception handler. Associate the workflow with the SFTP user.
A company is migrating infrastructure for its massive multiplayer game to AWS. The game's application features a leaderboard where players can see rankings in real time. The leaderboard requires microsecond reads and single-digitmillisecond write latencies. The datasets are single-digit terabytes in size and must be available to accept writes in less than a minute if a primary node failure occurs.
The company needs a solution in which data can persist for further analytical processing through a data pipeline.
Which solution will meet these requirements with the LEAST operational overhead?
A. Create an Amazon ROS database with a read replica. Configure the application to point writes to the writer endpoint. Configure the application to point reads to the reader endpoint.
B. Create an Amazon MemoryDB for Redis cluster in Muit-AZ mode Configure the application to interact with the primary node.
C. Create multiple Redis nodes on Amazon EC2 instances that are spread across multiple Availability Zones. Configure backups to Amazon S3.
A company is running several applications in the AWS Cloud. The applications are specific to separate business units in the company. The company is running the components of the applications in several AWS accounts that are in an organization in AWS Organizations.
Every cloud resource in the company's organization has a tag that is named BusinessUnit. Every tag already has the appropriate value of the business unit name.
The company needs to allocate its cloud costs to different business units. The company also needs to visualize the cloud costs for each business unit.
Which solution will meet these requirements?
A. In the organization's management account, create a cost allocation tag that is named BusinessUnit. Also in the management account, create an Amazon S3 bucket and an AWS Cost and Usage Report (AWS CUR). Configure the S3 bucket as the destination for the AWS CUR. From the management account, query the AWS CUR data by using Amazon Athena. Use Amazon QuickSight for visualization.
B. In each member account, create a cost allocation tag that is named BusinessUnit. In the organization's management account, create an Amazon S3 bucket and an AWS Cost and Usage Report (AWS CUR). Configure the S3 bucket as the destination for the AWS CUR. Create an Amazon CloudWatch dashboard for visualization.
C. In the organization's management account, create a cost allocation tag that is named BusinessUnit. In each member account, create an Amazon S3 bucket and an AWS Cost and Usage Report (AWS CUR). Configure each S3 bucket as the destination for its respective AWS CUR. In the management account, create an Amazon CloudWatch dashboard for visualization.
D. In each member account, create a cost allocation tag that is named BusinessUnit. Also in each member account, create an Amazon S3 bucket and an AWS Cost and Usage Report (AWS CUR). Configure each S3 bucket as the destination for its respective AWS CUR. From the management account, query the AWS CUR data by using Amazon Athena. Use Amazon QuickSight for visualization.
A company recently completed a successful proof of concept of Amazon WorkSpaces. A solutions architect needs to make the solution highly available across two AWS Regions. Amazon WorkSpaces is deployed in a failover Region, and a hosted zone is deployed in Amazon Route 53.
What should the solutions architect do to configure high availability for the solution?
A. Create a connection alias in the primary Region and in the failover Region. Associate the connection aliases with a directory in each Region. Create a Route 53 failover routing policy. Set Evaluate Target Health to Yes.
B. Create a connection alias in the primary Region and in the failover Region. Associate the connection aliases with a directory in the primary Region. Create a Route 53 multivalue answer routing policy.
C. Create a connection alias in the primary Region. Associate the connection alias with a directory in the primary Region. Create a Route 53 weighted routing policy.
D. Create a connection alias in the primary Region Associate the connection alias with a directory in the failover Region. Create a Route 53 failover routing policy. Set Evaluate Target Health to Yes.
A utility company wants to collect usage data every 5 minutes from its smart meters to facilitate time-of-use metering. When a meter sends data to AWS, the data is sent to Amazon API Gateway, processed by an AWS Lambda function. and stored in an Amazon DynamoDB table. During the pilot phase, the Lambda functions took from 3 to 5 seconds to complete.
As more smart meters are deployed, the engineers notice the Lambda functions are taking from 1 to 2 minutes to complete. The functions are also increasing in duration as new types of metrics are collected from the devices. There are many ProvisionedThroughputExceededException errors while performing PUT operations on DynamoDB, and there are also many TooManyRequestsException errors from Lambda.
Which combination of changes will resolve these issues? (Choose two.)
A. Increase the write capacity units to the DynamoDB table.
B. Increase the memory available to the Lambda functions.
C. Increase the payload size from the smart meters to send more data.
D. Stream the data into an Amazon Kinesis data stream from API Gateway and process the data in batches.
E. Collect data in an Amazon SQS FIFO queue, which triggers a Lambda function to process each message
A company plans to migrate many VMs from an on-premises environment to AWS. The company requires an initial assessment of the on-premises environment before the migration, a visualization of the dependencies between applications that run on the VMs, and a report that provides an assessment of the on-premises environment.
To get this information, the company has initiated a Migration Evaluator assessment request. The company has the ability to install collector software in its on-premises environment without any constraints
Which solution will provide the company with the required information with the LEAST operational overhead?
A. Install the AWS Application Discovery Agent on each on-premises VM. After the data collection period ends, use AWS Migration Hub to view the application dependencies. Download the Quick insights assessment report from Migration Hub.
B. Install the Migration Evaluator Collector on each on-premises VM. After the data collection period ends, use Migration Evaluator to view the application dependencies. Download and export the discovered server list from Migration Evaluator. Upload the list to Amazon QuickSight When the QuickSight report is generated, download the Quick Insights assessment report.
C. Setup the AWS Application Discovery Service Agentless Collector in the on-premises environment. After the data collection period ends, use AWS Migration Hub to view the application dependencies. Export the discovered server list from Application Discovery Service. Upload the list to Migration Evaluator. When the Migration Evaluator report is generated, download the Quick Insights assessment.
D. Set up the Migration Evaluator Collector in the on-premises environment. Install the AWS Application Discovery Agent on each VM. After the data collection period ends, use AWS Migration Hub to view the application dependencies. Download the Quick Insights assessment report from Migration Evaluator.
A company is running a serverless ecommerce application on AWS. The application uses Amazon API Gateway to invoke AWS Lambda Java functions. The Lambda functions connect to an Amazon RDS for MySQL database to store data.
During a recent sale event, a sudden increase in web traffic resulted in poor API performance and database connection failures. The company needs to implement a solution to minimize the latency for the Lambda functions and to support bursts in traffic.
Which solution will meet these requirements with the LEAST amount of change to the application?
A. Update the code of the Lambda functions so that the Lambda functions open the database connection outside of the function handler. Increase the provisioned concurrency for the Lambda functions.
B. Create an RDS Proxy endpoint for the database. Store database secrets in AWS Secrets Manager. Set up the required IAM permissions. Update the Lambda functions to connect to the RDS Proxy endpoint. Increase the provisioned concurrency for the Lambda functions.
C. Create a custom parameter group. Increase the value of the max_connections parameter. Associate the custom parameter group with the RDS DB instance and schedule a reboot. Increase the reserved concurrency for the Lambda functions.
D. Create an RDS Proxy endpoint for the database. Store database secrets in AWS Secrets Manager. Set up the required IAM permissions. Update the Lambda functions to connect to the RDS Proxy endpoint. Increase the reserved concurrency for the Lambda functions.
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