An ecommerce company is building a distributed application that involves several serverless functions and AWS services to complete order-processing tasks. These tasks require manual approvals as part of the workflow A solutions architect needs to design an architecture for the order-processing application The solution must be able to combine multiple AWS Lambda functions into responsive serverless applications The solution also must orchestrate data and services that run on Amazon EC2 instances, containers, or on-premises servers Which solution will meet these requirements with the LEAST operational overhead?

• A.Integrate all the application components in an AWS Glue job
• B.Use AWS Step Functions to build the application.
• C.Use Amazon Simple Queue Service (Amazon SQS) to build the application
• D.Use AWS Lambda functions and Amazon EventBridge (Amazon CloudWatch Events) events to build the application

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A company uses Amazon API Gateway to manage its REST APIs that third-party service providers access. The company must protect the REST APIs from SQL injection and cross site scripting attacks What is the MOST operationally efficient solution that meets these requirements?

• A.Configure AWS Shield
• B.Set up API Gateway with an Amazon CloudFront distribution Configure AWS Shield in CloudFront
• C.Configure AWS WAF
• D.Set up API Gateway with an Amazon CloudFront distribution Configure AWS WAF in CloudFront.

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A company is building applications in containers The company wants to migrate its on-premises development and operations services from its on-premises data center to AWS Management states that production systems must be cloud agnostic and use the same configuration and administrative tools across all production systems A solutions architect needs to design a managed solution that will align with open-source software Which solution meets these requirements?

• A.Launch the containers on Amazon Elastic Container Service (Amazon ECS) with AWS Fargate instances
• B.Launch the containers on Amazon Elastic Container Service (Amazon ECS) with Amazon EC2 instance worker nodes.
• C.Launch the containers on Amazon Elastic Kubernetes Service (Amazon EKS) and EKS worker nodes
• D.Launch the containers on Amazon EC2 with EC2 instance worker nodes

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A company has an ecommerce application that stores data in an on-premises SQL database. The company has decided to migrate this database to AWS. However, as part of the migration, the company wants to find a way to attain sub-millisecond responses to common read requests A solutions architect knows that the increase in speed is paramount and that a small percentage of stale data returned in the database reads is acceptable.
What should the solutions architect recommend'?

• A.Build the database as a larger instance type.
• B.Build a database cache using Amazon Elasticsearch Service (Amazon ES).
• C.Build Amazon RDS read replicas.
• D.Build a database cache using Amazon ElastiCache

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A company runs en application on a large fleet of Amazon EC2 instances. The application reads and write entries into an Amazon DynamoDB table The size of the OynamoDB table continuously grows but the application needs only data from the last 30 days The company needs a solution that minimizes cost and development effort Which solution meets these requirements'?

• A.Use an EC2 instance that runs a monitoring application from AWS Marketplace Configure the monitoring application to use Amazon DynamoOB Streams to store the timestamp when a new item is created in the table Use a script that runs on the EC2 instance to delete items that have a timestamp that is older than 30 days
• B.Configure Amazon DynamoDB Streams to invoke an AWS Lambda function when a new item is created in the table Configure the Lambda function to delete items m the table that are older than 30 days
• C.Extend the application to add an attribute that has a value of the current timestamp plus 30 days to each new item that is created in the table Configure DynamoDB to use the attribute as the TTL attribute
• D.Use an AWS CloudFormation template to deploy the complete solution Redeploy the Cloud Formation stack every 30 days, and delete the original stack

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