A mobile gaming company runs application servers on Amazon EC2 instances. The servers receive updates from players every 15 minutes. The mobile game creates a JSON object of the progress made in the game since the last update, and sends the JSON object to an Application Load Balancer. As the mobile game is played, game updates are being lost. The company wants to create a durable way to get the updates in older.
What should a solutions architect recommend to decouple the system?
A. Use Amazon Kinesis Data Streams to capture the data and store the JSON object in Amazon S3.
B. Use Amazon Kinesis Data Firehose to capture the data and store the JSON object in Amazon S3.
C. Use Amazon Simple Queue Service (Amazon SQS) FIFO queues to capture the data and EC2 instances to process the messages in the queue.
D. Use Amazon Simple Notification Service (Amazon SNS) to capture the data and EC2 instances to process the messages sent to the Application Load Balancer.
A company hosts its static website content from an Amazon S3 bucket in the us-east-1 Region. Content is made available through an Amazon CloudFront origin pointing to that bucket Cross-Region replication is set up to create a second copy of the bucket in the ap-southeast-1 Region. Management wants a solution that provides greater availability for the website. Which combination of actions should a solutions architect take to increase availability? (Select TWO.)
A. Add both buckets to the CloudFront origin
B. Configure failover routing in Amazon Route 53
C. Create a record in Amazon Route 53 pointing to the replica bucket
D. Create an additional CloudFront origin pointing to the ap-southeast-1 bucket
E. Set up a CloudFront origin group with the us-east-1 bucket as the primary and the ap-southeast-1 bucket as the secondary
A company had a build server that is in an Auto Scaling group and often has multiple Linux instances running. The build server requires consistent and mountable shared NFS storage for jobs and configurations.
Which storage option should a solutions architect recommend?
A. Amazon S3
B. Amazon FSx
C. Amazon Elastic Block Store (Amazon EBS)
D. Amazon Elastic File System (Amazon EFS)
A company is using Amazon DynamoDB with provisioned throughput for the database tier of its ecommerce website. During flash sales, customers experience periods of time when the database cannot handle the high number of transactions taking place. This causes the company to lose transactions During normal periods, the database performs appropriately. Which solution solves the performance problem the company faces?
A. Switch DynamoDB to on-demand mode during flash sales
B. Implement DynamoDB Accelerator for fast in memory performance
C. Use Amazon Kinesis to queue transactions for processing to DynamoDB
D. Use Amazon Simple Queue Service (Amazon SQS) to queue transactions to DynamoDB
A company is developing a new machine learning model solution in AWS. The models are developed as independent microservices that fetch about 1 GB of model data from Amazon S3 at startup and load the data into memory. Users
access the models through an asynchronous API. Users can send a request or a batch of requests and specify where the results should be sent. The company provides models to hundreds of users. The usage patterns for the models are
irregular Some models could be unused for days or weeks Other models could receive batches of thousands of requests at a time .
Which solution meets these requirements?
A. The requests from the API are sent to an Application Load Balancer (ALB) Models are deployed as AWS Lambda functions invoked by the ALB.
B. The requests from the API are sent to the models Amazon Simple Queue Service (Amazon SQS) queue. Models are deployed as AWS Lambda functions triggered by SQS events AWS Auto Scaling is enabled on Lambda to increase the number of vCPUs based on the SQS queue size
C. The requests from the API are sent to the model's Amazon Simple Queue Service (Amazon SQS) queue. Models are deployed as Amazon Elastic Container Service (Amazon ECS) services reading from the queue AWS App Mesh scales the instances of the ECS cluster based on the SQS queue size'
D. The requests from the API are sent to the models Amazon Simple Queue Service (Amazon SQS) queueModels are deployed as Amazon Elastic Container Service (Amazon ECS) services reading from the queue AWS Auto Scaling .s enabled on Amazon ECS for both the cluster and copies of the service based on the queue size.
A recently created startup built a three-tier web application. The front end has static content. The application layer is based on microservices. User data is stored as JSON documents that need to be accessed with low latency. The company
expects regular traffic to be low during the first year, with peaks in traffic when it publicizes new features every month. The startup team needs to minimize operational overhead costs.
What should a solutions architect recommend to accomplish this?
A. Use Amazon S3 static website hosting to store and serve the front end Use AWS Elastic Beanstalk for the application layer. Use Amazon DynamoDB to store user data.
B. Use Amazon S3 static website hosting to store and serve the front end. Use Amazon Elastic Kubernetes Service (Amazon EKS) for the application layer. Use Amazon DynamoDB to store user data.
C. Use Amazon S3 static website hosting to store and serve the front end. Use Amazon API Gateway and AWS Lambda functions for the application layer Use Amazon DynamoDB to store user data.
D. Use Amazon S3 static website hosting to store and serve the front end. Use Amazon API Gateway and AWS Lambda functions for the application layer. Use Amazon RDS with read replicas to store user data.
A company's near-real-time streaming application is running on AWS As (he data is ingested a job runs on the data and takes 30 minutes to complete The workload frequently experiences high latency due to large amounts of incoming data A solutions architect needs to design a scalable and serverless solution to enhance performance
Which combination of steps should the solutions architect take? (Select TWO)
A. Use Amazon Kinesis Data Firehose to ingest the data
B. Use AWS Lambda with AWS Step Functions to process the data
C. Use AWS Database Migration Service (AWS DMS) to ingest the data
D. Use Amazon EC2 instances in an Auto Scaling group to process the data
E. Use AWS Fargate with Amazon Elastic Container Service (Amazon ECS) to process the data.
A solutions architect is planning the deployment of a new static website. The solution must minimize costs and provide at least 99% availability.
Which solution meets these requirements?
A. Deploy the application to an Amazon S3 bucket in one AWS Region that has versioning disabled.
B. Deploy the application to Amazon EC2 instances that run in two AWS Regions and two Availability Zones.
C. Deploy the application to an Amazon S3 bucket that has versioning and cross-Region replication enabled.
D. Deploy the application to an Amazon EC2 instance that runs in one AWS Region and one Availability Zone.
A company has data stored in an on-premises data center that is used by several on-premises applications. The company wants to maintain its existing application environment and be able to use AWS services for data analytics and future visualizations. Which storage service should a solutions architect recommend?
A. Amazon Redshift
B. AWS Storage Gateway for files
C. Amazon Elastic Block Store (Amazon EBS)
D. Amazon Elastic File System (Amazon EFS)
A company is experiencing growth as demand for its product has increased The company's existing purchasing application is slow when traffic spikes The application is a monolithic three tier application that uses synchronous transactions
and sometimes sees bottlenecks in the application tier A solutions architect needs to design a solution that can meet required application response times while accounting for traffic volume spikes.
Which solution will meet these requirements?
A. Vertically scale the application instance using a larger Amazon EC2 instance size.
B. Scale the application's persistence layer horizontally by introducing Oracle RAC on AWS
C. Scale the web and application tiers horizontally using Auto Scaling groups and an Application Load Balancer
D. Decouple the application and data tiers using Amazon Simple Queue Service (Amazon SQS) with asynchronous AWS Lambda calls.
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