An online retail company hosts its stateful web-based application and MySQL database in an on-premises data center on a single server. The company wants to increase its customer base by conducting more marketing campaigns and promotions. In preparation, the company wants to migrate its application and database to AWS to increase the reliability of its architecture. Which solution should provide the HIGHEST level of reliability?
A. Migrate the database to an Amazon RDS MySQL Multi-AZ DB instance. Deploy theapplication in an Auto Scaling group on Amazon EC2 instances behind an Application LoadBalancer. Store sessions in Amazon Neptune.
B. Migrate the database to Amazon Aurora MySQL. Deploy the application in an AutoScaling group on Amazon EC2 instances behind an Application Load Balancer. Storesessions in an Amazon ElastiCache for Redis replication group.
C. Migrate the database to Amazon DocumentDB (with MongoDB compatibility). Deploythe application in an Auto Scaling group on Amazon EC2 instances behind a Network LoadBalancer. Store sessions in Amazon Kinesis Data Firehose.
D. Migrate the database to an Amazon RDS MariaDB Multi-AZ DB instance. Deploy theapplication in an Auto Scaling group on Amazon EC2 instances behind an Application LoadBalancer. Store sessions in Amazon ElastiCache for Memcached.
A car rental company has built a serverless REST API to provide data to its mobile app. The app consists of an Amazon API Gateway API with a Regional endpoint, AWS Lambda functions, and an Amazon Aurora MySQL Serverless DB cluster. The company recently opened the API to mobile apps of partners. A significant increase in the number of requests resulted, causing sporadic database memory errors. Analysis of the API traffic indicates that clients are making multiple HTTP GET requests for the same queries in a short period of time. Traffic is concentrated during business hours, with spikes around holidays and other events. The company needs to improve its ability to support the additional usage while minimizing the increase in costs associated with the solution. Which strategy meets these requirements?
A. Convert the API Gateway Regional endpoint to an edge-optimized endpoint. Enablecaching in the production stage.
B. Implement an Amazon ElastiCache for Redis cache to store the results of the databasecalls. Modify the Lambda functions to use the cache.
C. Modify the Aurora Serverless DB cluster configuration to increase the maximum amountof available memory.
D. Enable throttling in the API Gateway production stage. Set the rate and burst values tolimit the incoming calls.
A company has a web application that securely uploads pictures and videos to an Amazon S3 bucket. The company requires that only authenticated users are allowed to post content. The application generates a presigned URL that is used to upload objects through a browser interface. Most users are reporting slow upload times for objects larger than 100 MB. What can a Solutions Architect do to improve the performance of these uploads while ensuring only authenticated users are allowed to post content?
A. Set up an Amazon API Gateway with an edge-optimized API endpoint that has aresource as an S3 service proxy. Configure the PUT method for this resource to exposethe S3 PutObject operation. Secure the API Gateway using a COGNITO_USER_POOLSauthorizer. Have the browser interface use API Gateway instead of the presigned URL toupload objects.
B. Set up an Amazon API Gateway with a regional API endpoint that has a resource as anS3 service proxy. Configure the PUT method for this resource to expose the S3 PutObjectoperation. Secure the API Gateway using an AWS Lambda authorizer. Have the browserinterface use API Gateway instead of the presigned URL to upload API objects.
C. Enable an S3 Transfer Acceleration endpoint on the S3 bucket. Use the endpoint whengenerating the presigned URL. Have the browser interface upload the objects to this URLusing the S3 multipart upload API.
D. Configure an Amazon CloudFront distribution for the destination S3 bucket. Enable PUTand POST methods for the CloudFront cache behavior. Update the CloudFront origin touse an origin access identity (OAI). Give the OAI user s3:PutObject permissions in the bucket policy. Have the browser interface upload objects using the CloudFront distribution.
A company has a website that runs on four Amazon EC2 instances that are behind an Application Load Balancer (ALB). When the ALB detects that an EC2 instance is no longer available, an Amazon CloudWatch alarm enters the ALARM state. A member of the company's operations team then manually adds a new EC2 instance behind the ALB. A solutions architect needs to design a highly available solution that automatically handles the replacement of EC2 instances. The company needs to minimize downtime during the switch to the new solution. Which set of steps should the solutions architect take to meet these requirements?
A. Delete the existing ALB. Create an Auto Scaling group that is configured to handle theweb application traffic. Attach a new launch template to the Auto Scaling group. Create anew ALB. Attach the Auto Scaling group to the new ALB. Attach the existing EC2 instancesto the Auto Scaling group.
B. Create an Auto Scaling group that is configured to handle the web application traffic.Attach a new launch template to the Auto Scaling group. Attach the Auto Scaling group tothe existing ALB. Attach the existing EC2 instances to the Auto Scaling group.
C. Delete the existing ALB and the EC2 instances. Create an Auto Scaling group that isconfigured to handle the web application traffic. Attach a new launch template to the AutoScaling group. Create a new ALB. Attach the Auto Scaling group to the new ALB. Wait forthe Auto Scaling group to launch the minimum number of EC2 instances.
D. Create an Auto Scaling group that is configured to handle the web application traffic. Attach a new launch template to the Auto Scaling group. Attach the Auto Scaling group tothe existing ALB. Wait for the existing ALB to register the existing EC2 instances with theAuto Scaling group.
A company is deploying a third-party firewall appliance solution from AWS Marketplace to monitor and protect traffic that leaves the company's AWS environments. The company wants to deploy this appliance into a shared services VPC and route all outbound internetbound traffic through the appliances. A solutions architect needs to recommend a deployment method that prioritizes reliability and minimizes failover time between firewall appliances within a single AWS Region. The company has set up routing from the shared services VPC to other VPCs. Which steps should the solutions architect recommend to meet these requirements? (Select THREE.)
A. Deploy two firewall appliances into the shared services VPC, each in a separateAvailability Zone.
B. Create a new Network Load Balancer in the shared services VPC. Create a new targetgroup, and attach it to the new Network Load Balancer. Add each of the firewall applianceinstances to the target group.
C. Create a new Gateway Load Balancer in the shared services VPC. Create a new targetgroup, and attach it to the new Gateway Load Balancer. Add each of the firewall applianceinstances to the target group.
D. Create a VPC interface endpoint. Add a route to the route table in the shared servicesVPC. Designate the new endpoint as the next hop for traffic that enters the shared servicesVPC from other VPCs.
E. Deploy two firewall appliances into the shared services VPC. each in the sameAvailability Zone.
F. Create a VPC Gateway Load Balancer endpoint. Add a route to the route table in theshared services VPC. Designate the new endpoint as the next hop for traffic that enters theshared services VPC from other VPCs.
An ecommerce company runs an application on AWS. The application has an Amazon API Gateway API that invokes an AWS Lambda function. The data is stored in an Amazon RDS for PostgreSQL DB instance. During the company's most recent flash sale, a sudden increase in API calls negatively affected the application's performance. A solutions architect reviewed the Amazon CloudWatch metrics during that time and noticed a significant increase in Lambda invocations and database connections. The CPU utilization also was high on the DB instance. What should the solutions architect recommend to optimize the application's performance?
A. Increase the memory of the Lambda function. Modify the Lambda function to close thedatabase connections when the data is retrieved.
B. Add an Amazon ElastiCache for Redis cluster to store the frequently accessed datafrom the RDS database.
C. Create an RDS proxy by using the Lambda console. Modify the Lambda function to usethe proxy endpoint.
D. Modify the Lambda function to connect to the database outside of the function's handler.Check for an existing database connection before creating a new connection.
A company hosts a software as a service (SaaS) solution on AWS. The solution has an Amazon API Gateway API that serves an HTTPS endpoint. The API uses AWS Lambda functions for compute. The Lambda functions store data in an Amazon Aurora Serverless VI database. The company used the AWS Serverless Application Model (AWS SAM) to deploy the solution. The solution extends across multiple Availability Zones and has no disaster recovery (DR) plan. A solutions architect must design a DR strategy that can recover the solution in another AWS Region. The solution has an R TO of 5 minutes and an RPO of 1 minute. What should the solutions architect do to meet these requirements?
A. Create a read replica of the Aurora Serverless VI database in the target Region. UseAWS SAM to create a runbook to deploy the solution to the target Region. Promote theread replica to primary in case of disaster.
B. Change the Aurora Serverless VI database to a standard Aurora MySQL globaldatabase that extends across the source Region and the target Region. Use AWS SAM tocreate a runbook to deploy the solution to the target Region.
C. Create an Aurora Serverless VI DB cluster that has multiple writer instances in the targetRegion. Launch the solution in the target Region. Configure the two Regional solutions towork in an active-passive configuration.
D. Change the Aurora Serverless VI database to a standard Aurora MySQL globaldatabase that extends across the source Region and the target Region. Launch thesolution in the target Region. Configure the two Regional solutions to work in an activepassiveconfiguration.
A company is deploying a new cluster for big data analytics on AWS. The cluster will run across many Linux Amazon EC2 instances that are spread across multiple Availability Zones. All of the nodes in the cluster must have read and write access to common underlying file storage. The file storage must be highly available, must be resilient, must be compatible with the Portable Operating System Interface (POSIX). and must accommodate high levels of throughput. Which storage solution will meet these requirements?
A. Provision an AWS Storage Gateway file gateway NFS file share that is attached to anAmazon S3 bucket. Mount the NFS file share on each EC2 instance in the duster.
B. Provision a new Amazon Elastic File System (Amazon EFS) file system that usesGeneral Purpose performance mode. Mount the EFS file system on each EC2 instance inthe cluster.
C. Provision a new Amazon Elastic Block Store (Amazon EBS) volume that uses the io2volume type. Attach the EBS volume to all of the EC2 instances in the cluster.
D. Provision a new Amazon Elastic File System (Amazon EFS) file system that uses MaxI/O performance mode. Mount the EFS file system on each EC2 instance in the cluster.
A company deploys a new web application. As pari of the setup, the company configures AWS WAF to log to Amazon S3 through Amazon Kinesis Data Firehose. The company develops an Amazon Athena query that runs once daily to return AWS WAF log data from the previous 24 hours. The volume of daily logs is constant. However, over time, the same query is taking more time to run. A solutions architect needs to design a solution to prevent the query time from continuing to increase. The solution must minimize operational overhead. Which solution will meet these requirements?
A. Create an AWS Lambda function that consolidates each day's AWS WAF logs into onelog file.
B. Reduce the amount of data scanned by configuring AWS WAF to send logs to adifferent S3 bucket each day.
C. Update the Kinesis Data Firehose configuration to partition the data in Amazon S3 bydate and time. Create external tables for Amazon Redshift. Configure Amazon RedshiftSpectrum to query the data source.
D. Modify the Kinesis Data Firehose configuration and Athena table definition to partitionthe data by date and time. Change the Athena query to view the relevant partitions.
A solutions architect has an operational workload deployed on Amazon EC2 instances in an Auto Scaling Group The VPC architecture spans two Availability Zones (AZ) with a subnet in each that the Auto Scaling group is targeting. The VPC is connected to an onpremises environment and connectivity cannot be interrupted The maximum size of the Auto Scaling group is 20 instances in service. The VPC IPv4 addressing is as follows: VPCCIDR 10 0 0 0/23 AZ1 subnet CIDR: 10 0 0 0724 AZ2 subnet CIDR: 10.0.1 0724 Since deployment, a third AZ has become available in the Region The solutions architect wants to adopt the new AZ without adding additional IPv4 address space and without service downtime. Which solution will meet these requirements?
A. Update the Auto Scaling group to use the AZ2 subnet only Delete and re-create the AZ1subnet using half the previous address space Adjust the Auto Scaling group to also use the new AZI subnet When the instances are healthy, adjust the Auto Scaling group to use theAZ1 subnet only Remove the current AZ2 subnet Create a new AZ2 subnet using thesecond half of the address space from the original AZ1 subnet Create a new AZ3 subnetusing half the original AZ2 subnet address space, then update the Auto Scaling group totarget all three new subnets.
B. Terminate the EC2 instances in the AZ1 subnet Delete and re-create the AZ1 subnetusing hall the address space. Update the Auto Scaling group to use this new subnet.Repeat this for the second AZ. Define a new subnet in AZ3: then update the Auto Scalinggroup to target all three new subnets
C. Create a new VPC with the same IPv4 address space and define three subnets, withone for each AZ Update the existing Auto Scaling group to target the new subnets in thenew VPC
D. Update the Auto Scaling group to use the AZ2 subnet only Update the AZ1 subnet tohave halt the previous address space Adjust the Auto Scaling group to also use the AZ1subnet again. When the instances are healthy, adjust the Auto Seating group to use theAZ1 subnet only. Update the current AZ2 subnet and assign the second half of the addressspace from the original AZ1 subnet Create a new AZ3 subnet using half the original AZ2subnet address space, then update the Auto Scaling group to target all three new subnets