A Developer is trying to deploy a serverless application using AWS CodeDeploy. The application was updated and needs to be redeployed.
What file does the Developer need to update to push that change through CodeDeploy?

• A.dockerrun.aws.json
• B.buildspec.yml
• C.appspec.yml
• D.ebextensions.config

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A company recently experienced some unexpected downtime. After investigating, the company determines that a developer mistakenly terminated several production Amazon EC2 instances.
What should the company do to BEST protect against accidental terminations in the future.

• A.Enable EC2 termination protection on production instances. Deny the developer group's permissions policy access to terminate instance. Create a new role that developer can assume when termination is necessary.
• B.Modify the developer group's permission policy to require multi-factor authentication (MFA) only production instances are being delete Enable EC2 termination protection on production instances.
• C.Modify the developer group's permissions policy to deny them access to delete production instances unless approved has been given through AWS Resource Access Manager.
• D.Enable EC2 termination protection on all production instances unless approval has been given through AWS Resource Access Manager.

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Which of the following is an example of a good DynamoDB hash key schema for provisioned throughput efficiency?

• A.Game Type, where there are three possible game types
• B.Device ID, where one is by far more popular than all the others.
• C.User ID, where the application has many different users.
• D.Status Code where most status codes are the same

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A web application is using Amazon Kinesis Streams for clickstream data that may not be consumed for up to 12 hours.
How can the Developer implement encryption at rest for data within the Kinesis Streams?

• A.Enable SSL connections to Kinesis
• B.Use Amazon Kinesis Consumer Library
• C.Encrypt the data once it is at rest with a Lambda function
• D.Enable server-side encryption in Kinesis Streams

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An application is processing clickslream data using Amazon Kinesis. The clickstream data feed into Kinesis experiences periodic spikes. The PutRecords API call occasionally fails and the logs show that the failed call returns the response shown below.

Which techniques will help mitigate this exception? (Select TWO.)

• A.Use a PutRecord API instead of PutRecords
• B.Use Amazon SNS instead of Kinesis.
• C.Reduce the number of KCL consumers.
• D.Reduce the frequency and/or size of the requests
• E.Implement retries with exponential backoff

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