A developer has written an application hosted on Amazon EC2 instances. The application generates and uploads thousands of new objects to an Amazon S3 bucket located in the same AWS region. The size of each object is less than 1 MB. The application is taking too long to run.
How can the performance of the application be improved?

• A.Use the S3 Multipart Upload API
• B.Use S3 Transfer Acceleration
• C.Add a random prefix to the object keys
• D.Upload the objects in parallel to Amazon S3

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A Development team has pushed out 10 applications running on several Amazon EC2 instances. The Operations team is asking for a graphical representation of one key performance metric for each application. These metrics should be available on one screen for easy monitoring.
Which steps should the Developer take to accomplish this using Amazon CloudWatch?

• A.Create a custom namespace with a unique metric name for each application.
• B.Create a custom dimension with a unique metric name for each application.
• C.Create a custom event with a unique metric name for each application.
• D.Create a custom alarm with a unique metric name for each application.

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Which of the following are correct statements with policy evaluation logic in AWS Identity and Access Management? Choose 2 answers

• A.By default, all requests are denied
• B.An explicit allow overrides an explicit deny
• C.An explicit allow overrides default deny.
• D.An explicit deny does not override an explicit allow
• E.By default, all request are allowed

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A developer is creating as AWS lambda function that generates a new file each time it runs. Each new file must be checked into an AWS CodeCommit repository hosted in the same AWS account.
How should the developer accomplish this?

• A.When the Lambda function starts, use the Git CLI to Clone the repository. Check the new file into the cloned repository and push the change.
• B.Upload the new file to an Amazon S3 bucket. Create an AWS step Function to accept S3 events. In the step Function, add the new file to the repository.
• C.Use an AWS SDK to instantiate a CodeCommit Client. Invoke the put _ file method to add the file to the repository.
• D.After the new file is created in Lambda, use cURL to invoke the CodeCommit API. Send the file to the repository.

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

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