A developer is creating a script to automate the deployment process for a serverless application. The developer wants to use an existing AWS Serverless Application Model (AWS SAM) template for the application What should the developer use for the project? (Select TWO)

• A.Call sam package to create the deployment package Call sam deploy to deploy the package afterward
• B.Create a ZIP package and upload it to Amazon S3 Callaws cloudfonnation create-stack to create the application
• C.Callaws s3 cp to upload the AWS SAM template to Amazon S3 Call aws lambda update-function-code to create the application.
• D.Callaws cloudformation package to create the deployment package Call aws cloudformation deploy to deploy the package afterward.
• E.Create a ZIP package locally and call aws serverlessrepo create-applicarion to create the application.

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A developer is writing a new serverless application for a company. Several other developers must collaborate on the code for this application, and the company expects frequent changes to the code. The developer needs to deploy the code from source control to AWS Lambda with the fewest number of manual steps.
Which strategy for the build and deployment should the developer use to meet these requirements?

• A.Build the code locally, and then upload the code into the source control system. When a release is needed, run AWS CodePipeline to extract the uploaded build and deploy the resources.
• B.Use the AWS Serverless Application Model (AWS SAM) CLI to build and deploy the application from the developer's local machine with the latest version checked out locally.
• C.Use the Lambda console to upload a .zip file of the application that is created by the AWS Serverless Application Model (AWS SAM) CLI build command.
• D.Use AWS CodeBuild and AWS CodePipeline to invoke builds and corresponding deployments when configured source controlled branches have pull requests merged into them

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An application stops working with the following error: The specified bucket does not exist. Where is the BEST place to start the root cause analysis?

• A.Check AWS X-Ray for Amazon S3 DeleteBucket alarms.
• B.Check the Elastic Load Balancer logs for DeleteBucket requests.
• C.Check the application logs in Amazon CloudWatch Logs for Amazon S3 DeleteBucket errors.
• D.Check AWS CloudTrail for a DeleteBucket event.

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An AWS Lambda function accesses two Amazon DynamoDB tables. A developer wants to improve the performance of the Lambda function by identifying bottlenecks in the function. How can the developer inspect the timing of the DynamoDB API calls?

• A.Limit Lambda to no more than five concurrent invocations Monitor from the Lambda console
• B.Enable AWS X-Ray tracing for the function. View the traces from the X-Ray service.
• C.Place an Application Load Balancer (ALB) in front of the two DynamoDB tables. Inspect the ALB logs
• D.Add DynamoDB as an event source to the Lambda function. View the performance with Amazon CloudWatch metrics

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An application displays a status dashboard. The status is updated by 1 KB messages from an SQS queue.
Although the status changes infrequently, the Developer must minimize the time between the message arrival in the queue and the dashboard update.
What technique provides the shortest delay in updating the dashboard?

• A.Reduce the size of the messages by compressing them before sending.
• B.Retrieve the messages from the queue using short polling every 10 seconds.
• C.Reduce the size of each message payload by sending it in two parts.
• D.Retrieve the messages from the queue using long polling every 20 seconds.

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