A company's website runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The website has a mix of dynamic and static content. Users around the globe are reporting that the website is slow Which set of actions will improve website performance for users worldwide?

• A.Create an Amazon CloudFront distribution and configure the ALB as an origin. Then update the Amazon Route 53 record to point to the CloudFront distribution
• B.Create a latency-based Amazon Route 53 record for the ALB. Then launch new EC2 instances with larger instance sizes and register the instances with the ALB
• C.Launch new EC2 instances hosting the same web application in different Regions closer to the users.
  Then register the instances with the same ALB using cross-Region VPC peering.
• D.Host the website in an Amazon S3 bucket in the Regions closest to the users and delete the ALB and EC2 instances. Then update an Amazon Route 53 record to point to the S3 buckets.

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A company has a website deployed on AWS. The database backend is hosted on Amazon RDS for MySQL with a primary instance and five read replicas to support scaling needs. The read replicas should lag no more than 1 second behind the primary instance to support the user experience.
As traffic on the website continues to increase, the replicas are falling further behind during periods of peak load, resulting in complaints from users when searches yield inconsistent results. A solutions architect needs to reduce the replication lag as much as possible, with minimal changes to the application code or operational requirements.
Which solution meets these requirements?

• A.Migrate the database to Amazon DynamoDB. Initially provision a large number of read capacity units (RCUs) to support the required throughput with on-demand capacity scaling enabled.
• B.Deploy an Amazon ElastiCache for Redis cluster in front of the database. Modify the website to check the cache before querying the database read endpoints.
• C.Migrate the database to Amazon Aurora MySQL. Replace the MySQL read replicas with Aurora Replicas and enable Aurora Auto Scaling
• D.Migrate the database from Amazon RDS to MySQL running on Amazon EC2 compute instances. Choose very large compute optimized instances for all replica nodes.

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An application allows users at a company's headquarters to access product data The product data is stored in an Amazon RDS MySQL DB instance. The operations team has isolated an application performance slowdown and wants to separate read traffic from write traffic. A solutions architect needs to optimize the application's performance quickly.
What should the solutions architect recommend?

• A.Change the existing database to a Multi-AZ deployment Serve the read requests from the secondary Availability Zone
• B.Change the existing database to a Multi-AZ deployment Serve the read requests from the primary Availability Zone
• C.Create read replicas for the database Configure the read replicas with half of the compute and storage resources as the source database
• D.Create read replicas for the database Configure the read replicas with the same compute and storage resources as the source database

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A company is building an ecommerce web application on AWS. The application sends information about new orders to an Amazon API Gateway REST API to process. The company wants to ensure that orders are processed in the order that they are received.
Which solution will meet these requirements?

• A.Use an API Gateway integration to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic when the application receives an order. Subscribe an AWS Lambda function to the topic to perform processing.
• B.Use an API Gateway integration to send a message to an Amazon Simple Queue Service (Amazon SQS) FIFO queue when the application receives an order. Configure the SQS FIFO queue to invoke an AWS Lambda function for processing.
• C.Use an API Gateway authorizer to block any requests while the application processes an order.
• D.Use an API Gateway integration to send a message to an Amazon Simple Queue Service (Amazon SQS) standard queue when the application receives an order. Configure the SQS standard queue to invoke an AWS Lambda function for processing.

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A solution architect is designing he architect of a new application being deployed to the AWS Cloud. The application will run on Amazon EC2 On-Demand instances and will automatically scale across multiple Availability Zones. The EC2 instances will scale up and down frequently the day. An Application load balancer (ALB) will handle the load distribution. The architecture needs to support distributed session data management. The company is willing to make charges to code if needed.
What should the solutions architect do to ensure that the architecture supports distributed session data management?

• A.Use the GetSessionToken API operation in AWS Security Token Service (AWS STS) to manage the session.
• B.Use Amazon ElastiCache to manage and store session data.
• C.Use session affinity (sticky sessions) of the ALB to manage session data.
• D.Use Session Manager from AWS Systems Manager to manage the session.

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