An ecommerce application is using Amazon Simple Notification Service (Amazon SNS) with an AWS Lambda subscription to save all new orders into an Amazon DynamoDB table The company wants to record all the orders that are more than a certain amount of money in a separate table The company wants to avoid changes to the processes that post orders to Amazon SNS or the current Lambda function that saves the orders to the DynamoDB table How can a developer implement this feature with the LEAST change to the existing application?

• A.Modify the Lambda code to filter the orders and save the appropriate orders to a separate table
• B.Create another SNS topic, and also send orders in that topic Create a Lambda subscription with a numeric value filter option to save the appropriate orders to a separate table
• C.Create another Lambda subscription with the SNS message attribute value matching a filter option to save the appropriate orders to a separate table
• D.Create anotherftambda subscnption with the SNS message numeric value matching a filter option to save the appropriate orders to a separate table

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What type of block cipher does Amazon S3 offer for server side encryption?

• A.Blowfish
• B.Advanced Encryption Standard
• C.Triple DES
• D.RC5

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A Developer is writing a Linux-based application to run on AWS Elastic Beanstalk. Application requirements state that the application must maintain full capacity during updates while minimizing cost.
Which type of Elastic Beanstalk deployment policy should the Developer specify for the environment?

• A.Immutable
• B.Rolling
• C.All at Once
• D.Rolling with additional batch

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Which code snippet below returns the URL of a load balanced web site created in CloudFormation with an AWS::ElasticLoadBalancing::LoadBalancer resource name "ElasticLoad Balancer"?

• A."Fn::Join" : ["". [ "http://", {"Fn::GetAtr" : [ "ElasticLoadBalancer","DNSName"]}]]
• B."Fn::Join" : ["". [ "http://", {"Fn::GetAtr" : [ "ElasticLoadBalancer","Url"]}]]
• C."Fn::Join" : ["". [ "http://", {"Ref" : "ElasticLoadBalancerUrl"}]]
• D."Fn::Join" : [".", [ "http://", {"Ref" : "ElasticLoadBalancerDNSName"}]]

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A Development team wants to instrument their code to provide more detailed information to AWS X-Ray than simple outgoing and incoming requests. This will generate large amounts of data, so the Development team wants to implement indexing so they can filter the data.
What should the Development team do to achieve this?

• A.Add annotations to the segment document and the code
• B.Add metadata to the segment document and the code
• C.Configure the necessary X-Ray environment variables
• D.Install required plugins for the appropriate AWS SDK

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