A company runs container applications by using Amazon Elastic Kubernetes Service (Amazon EKS) and the Kubernetes Horizontal Pod Autoscaler. The workload is not consistent throughout the day. A solutions architect notices that the number of nodes does not automatically scale out when the existing nodes have reached maximum capacity in the cluster, which causes performance issues. Which solution will resolve this issue with the LEAST administrative overhead?
A. Scale out the nodes by tracking the memory usage.
B. Use the Kubernetes Cluster Autoscaler to manage the number of nodes in the cluster.
C. Use an AWS Lambda function to resize the EKS cluster automatically.
D. Use an Amazon EC2 Auto Scaling group to distribute the workload.
A company maintains about 300 TB in Amazon S3 Standard storage month after month. The S3 objects are each typically around 50 GB in size and are frequently replaced with multipart uploads by their global application. The number and size of S3 objects remain constant, but the company's S3 storage costs are increasing each month.
How should a solutions architect reduce costs in this situation?
A. Switch from multipart uploads to Amazon S3 Transfer Acceleration.
B. Enable an S3 Lifecycle policy that deletes incomplete multipart uploads.
C. Configure S3 inventory to prevent objects from being archived too quickly.
D. Configure Amazon CloudFront to reduce the number of objects stored in Amazon S3.
A company has deployed a multiplayer game for mobile devices. The game requires live location tracking of players based on latitude and longitude. The data store for the game must support rapid updates and retrieval of locations.
The game uses an Amazon RDS for PostgreSQL DB instance with read replicas to store the location data. During peak usage periods, the database is unable to maintain the performance that is needed for reading and writing updates. The
game's user base is increasing rapidly.
What should a solutions architect do to improve the performance of the data tier?
A. Take a snapshot of the existing DB instance. Restore the snapshot with Multi-AZ enabled.
B. Migrate from Amazon RDS to Amazon OpenSearch Service with OpenSearch Dashboards.
C. Deploy Amazon DynamoDB Accelerator (DAX) in front of the existing DB instance. Modify the game to use DAX.
D. Deploy an Amazon ElastiCache for Redis cluster in front of the existing DB instance. Modify the game to use Redis.
A company stores critical data in Amazon DynamoDB tables in the company's AWS account. An IT administrator accidentally deleted a DynamoDB table. The deletion caused a significant loss of data and disrupted the company's operations. The company wants to prevent this type of disruption in the future.
Which solution will meet this requirement with the LEAST operational overhead?
A. Configure a trail in AWS CloudTrail. Create an Amazon EventBridge rule for delete actions. Create an AWS Lambda function to automatically restore deleted DynamoDB tables.
B. Create a backup and restore plan for the DynamoDB tables. Recover the DynamoDB tables manually.
C. Configure deletion protection on the DynamoDB tables.
D. Enable point-in-time recovery on the DynamoDB tables.
A company has an AWS Direct Connect connection from its on-premises location to an AWS account. The AWS account has 30 different VPCs in the same AWS Region. The VPCs use private virtual interfaces (VIFs). Each VPC has a CIDR
block that does not overlap with other networks under the company's control.
The company wants to centrally manage the networking architecture while still allowing each VPC to communicate with all other VPCs and on-premises networks.
Which solution will meet these requirements with the LEAST amount of operational overhead?
A. Create a transit gateway, and associate the Direct Connect connection with a new transit VIF. Turn on the transit gateway's route propagation feature.
B. Create a Direct Connect gateway. Recreate the private VIFs to use the new gateway. Associate each VPC by creating new virtual private gateways.
C. Create a transit VPConnect the Direct Connect connection to the transit VPCreate a peering connection between all other VPCs in the Region. Update the route tables.
D. Create AWS Site-to-Site VPN connections from on premises to each VPC. Ensure that both VPN tunnels are UP for each connection. Turn on the route propagation feature.
A company wants to rearchitect a large-scale web application to a serverless microservices architecture. The application uses Amazon EC2 instances and is written in Python.
The company selected one component of the web application to test as a microservice. The component supports hundreds of requests each second. The company wants to create and test the microservice on an AWS solution that supports
Python. The solution must also scale automatically and require minimal infrastructure and minimal operational support.
Which solution will meet these requirements?
A. Use a Spot Fleet with auto scaling of EC2 instances that run the most recent Amazon Linux operating system.
B. Use an AWS Elastic Beanstalk web server environment that has high availability configured.
C. Use Amazon Elastic Kubernetes Service (Amazon EKS). Launch Auto Scaling groups of self-managed EC2 instances.
D. Use an AWS Lambda function that runs custom developed code.
A company's applications use Apache Hadoop and Apache Spark to process data on premises. The existing infrastructure is not scalable and is complex to manage.
A solutions architect must design a scalable solution that reduces operational complexity. The solution must keep the data processing on premises.
Which solution will meet these requirements?
A. Use AWS Site-to-Site VPN to access the on-premises Hadoop Distributed File System (HDFS) data and application. Use an Amazon EMR cluster to process the data.
B. Use AWS DataSync to connect to the on-premises Hadoop Distributed File System (HDFS) cluster. Create an Amazon EMR cluster to process the data.
C. Migrate the Apache Hadoop application and the Apache Spark application to Amazon EMR clusters on AWS Outposts. Use the EMR clusters to process the data.
D. Use an AWS Snowball device to migrate the data to an Amazon S3 bucket. Create an Amazon EMR cluster to process the data.
A company is migrating a large amount of data from on-premises storage to AWS. Windows, Mac, and Linux based Amazon EC2 instances in the same AWS Region will access the data by using SMB and NFS storage protocols. The
company will access a portion of the data routinely. The company will access the remaining data infrequently.
The company needs to design a solution to host the data.
Which solution will meet these requirements with the LEAST operational overhead?
A. Create an Amazon Elastic File System (Amazon EFS) volume that uses EFS Intelligent-Tiering. Use AWS DataSync to migrate the data to the EFS volume.
B. Create an Amazon FSx for ONTAP instance. Create an FSx for ONTAP file system with a root volume that uses the auto tiering policy. Migrate the data to the FSx for ONTAP volume.
C. Create an Amazon S3 bucket that uses S3 Intelligent-Tiering. Migrate the data to the S3 bucket by using an AWS Storage Gateway Amazon S3 File Gateway.
D. Create an Amazon FSx for OpenZFS file system. Migrate the data to the new volume.
A manufacturing company runs its report generation application on AWS. The application generates each report in about 20 minutes. The application is built as a monolith that runs on a single Amazon EC2 instance. The application requires frequent updates to its tightly coupled modules. The application becomes complex to maintain as the company adds new features.
Each time the company patches a software module, the application experiences downtime. Report generation must restart from the beginning after any interruptions. The company wants to redesign the application so that the application can be flexible, scalable, and gradually improved. The company wants to minimize application downtime.
Which solution will meet these requirements?
A. Run the application on AWS Lambda as a single function with maximum provisioned concurrency.
B. Run the application on Amazon EC2 Spot Instances as microservices with a Spot Fleet default allocation strategy.
C. Run the application on Amazon Elastic Container Service (Amazon ECS) as microservices with service auto scaling.
D. Run the application on AWS Elastic Beanstalk as a single application environment with an all-at-once deployment strategy.
A company is designing a web application on AWS. The application will use a VPN connection between the company's existing data centers and the company's VPCs. The company uses Amazon Route 53 as its DNS service. The application must use private DNS records to communicate with the on-premises services from a VPC. Which solution will meet these requirements in the MOST secure manner?
A. Create a Route 53 Resolver outbound endpoint. Create a resolver rule. Associate the resolver rule with the VPC.
B. Create a Route 53 Resolver inbound endpoint. Create a resolver rule. Associate the resolver rule with the VPC.
C. Create a Route 53 private hosted zone. Associate the private hosted zone with the VPC.
D. Create a Route 53 public hosted zone. Create a record for each service to allow service communication
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