A social media company is using Amazon Cognito in order to synchronize profiles across different mobile devices, to enable end users to have a seamless experience.
Which of the following configurations can be used to silently notify users whenever an update is available on all other devices?

• A.Use the SyncCallback interface to receive notifications on the application.
• B.Use the push synchronization feature with the appropriate IAM role.
• C.Modify the user pool to include all the devices which keep them in sync.
• D.Use an Amazon Cognito stream to analyze the data and push the notifications.

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A Developer must repeatedly and consistently deploy a serverless RESTful API on AWS.
Which techniques will work? (Choose two.)

• A.Define a Swagger file. Use AWS Elastic Beanstalk to deploy the Swagger file.
• B.Define a Swagger file. Use AWS CodeDeploy to deploy the Swagger file.
• C.Deploy a SAM template with an inline Swagger definition.
• D.Define a Swagger file. Deploy a SAM template that references the Swagger file.
• E.Define an inline Swagger definition in a Lambda function. Invoke the Lambda function.

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Which of the following is chosen as the default region when making an API call with an AWS SDK?

• A.ap-northeast-1
• B.us-west-2
• C.us-east-1
• D.eu-west-1
• E.us-central-1

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A developer is working on a web application that runs on Amazon Elastic Container Service (Amazon ECS) and uses an Amazon DynamoDB table to store data. The application performs a large number of read requests against a small set of the table data.
How can the developer improve the performance of these requests'? (Select TWO )

• A.Create a DynamoDB Accelerator (DAX) cluster Configure the application to use the DAX cluster for DynamoDB requests
• B.Increase the read capacity of the DynamoDB table
• C.Configure the application to make strongly consistent read requests against the DynamoDB table
• D.Create an Amazon ElastiCache cluster Configure the application to cache data in the cluster.
• E.Enable DynamoDB adaptive capacity

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Queries to an Amazon DynamoDB table are consuming a large amount of read capacity. The table has a significant number of large attributes. The application does not need all of the attribute data.
How can DynamoDB costs be minimized while maximizing application performance?

• A.Batch all the writes, and perform the write operations when no or few reads are being performed.
• B.Create a global secondary index with a minimum set of projected attributes.
• C.Implement exponential backoffs in the application.
• D.Load balance the reads to the table using an Application Load Balancer.

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