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Question 32

A developer migrated a legacy application to an AWS Lambda function. The function uses a third-party service to pull data with a series of API calls at the end of each month. The function than processes the data to generate the monthly reports. The function has Been working with no issues so far.

The third-party service recently issued a restriction to allow a feed number to API calls each minute and each day. If the API calls exceed the limit tor each minute or each day, then the service will produce errors. The API also provides the minute limit and daily limit in the response header. This restriction might extend the overall process to multiple days because the process is consuming more API calls than the available limit.

What is the MOST operationally efficient way to refactor the server less application to accommodate this change?

Options:

Use an AWS Step Functions State machine to monitor API failures. Use the Wait state to delay calling the Lambda function.

Use an Amazon Simple Queue Service (Amazon SQS) queue to hold the API calls. Configure the Lambda function to poll the queue within the API threshold limits.

Use an Amazon CloudWatch Logs metric to count the number of API calls. Configure an Amazon CloudWatch alarm flat slops the currently running instance of the Lambda function when the metric exceeds the API threshold limits.

Use Amazon Kinesis Data Firehose to batch me API calls and deliver them to an Amazon S3 bucket win an event notification to invoke the Lambda function.

Question 33

A company has built an AWS Lambda function to convert large image files into output files that can be used in a third-party viewer application The company recently added a new module to the function to improve the output of the generated files However, the new module has increased the bundle size and has increased the time that is needed to deploy changes to the function code.

How can a developer increase the speed of the Lambda function deployment?

Options:

Use AWS CodeDeploy to deploy the function code

Use Lambda layers to package and load dependencies.

Increase the memory size of the function.

Use Amazon S3 to host the function dependencies

Question 34

A company runs an application on AWS The application stores data in an Amazon DynamoDB table Some queries are taking a long time to run These slow queries involve an attribute that is not the table's partition key or sort key

The amount of data that the application stores in the DynamoDB table is expected to increase significantly. A developer must increase the performance of the queries.

Which solution will meet these requirements'?

Options:

Increase the page size for each request by setting the Limit parameter to be higher than the default value Configure the application to retry any request that exceeds the provisioned throughput.

Create a global secondary index (GSI). Set query attribute to be the partition key of the index

Perform a parallel scan operation by issuing individual scan requests in the parameters specify the segment for the scan requests and the total number of segments for the parallel scan.

Turn on read capacity auto scaling for the DynamoDB table. Increase the maximum read capacity units (RCUs).

Question 35

A developer is incorporating AWS X-Ray into an application that handles personal identifiable information (PII). The application is hosted on Amazon EC2 instances. The application trace messages include encrypted PII and go to Amazon CloudWatch. The developer needs to ensure that no PII goes outside of the EC2 instances.

Which solution will meet these requirements?