Exam AWS Certified Developer - Associate DVA-C02 topic 1 question 159 discussion

B: I don't see how the Lamba function can be configured this way

A: makes the most sense in this question: Use an AWS Step Functions state machine to monitor API failures. Use the Wait state to delay calling the Lambda function. B: SQS queue wouldn't work because the maximum delay allowed in an SQS queue is 15 minutes. ==> 'extend the overall process to multiple days' will be violated

This appear at 17 Jun exam

A is the correct answer.

I would go for option C because response value always contains the limit value and which can be retrieved into the cloudwatch and can be used to block the the lambda calls

The solution that will meet the requirements is to use an AWS Step Functions state machine to monitor API failures. Use the Wait state to delay calling the Lambda function. This way, the developer can refactor the serverless application to accommodate the change in a way that is automated and scalable. The developer can use Step Functions to orchestrate the Lambda function and handle any errors or retries. The developer can also use the Wait state to pause the execution for a specified duration or until a specified timestamp, which can help avoid exceeding the API limits. The other options either involve using additional services that are not necessary or appropriate for this scenario, or do not address the issue of API failures. https://www.freecram.net/question/Amazon.DVA-C02.v2023-11-29.q68/a-developer-migrated-a-legacy-application-to-an-aws-lambda-function-the-function-uses-a-third-party-18#

Who is going to orchestrate lambda invocation? SQS is for decoupling, not for scheduled invocations. A is the only option.

Option A with AWS Step Functions can handle the frequency of API calls by introducing a delay (Wait state) between retries after a failure due to rate limiting, it doesn't inherently solve the problem of the total number of calls per day. If the total number of necessary API calls exceeds the daily limit set by the third-party service, simply adding a delay between retries will not prevent the overall daily limit from being exceeded.

A. Use an AWS Step Functions state machine to monitor API failures. Use the Wait state to delay calling the Lambda function: This is a viable and efficient solution. AWS Step Functions can orchestrate the Lambda function invocations and manage the workflow, including handling API call rate limits. The Wait state can be used to introduce delays between API calls to ensure compliance with the rate limits. This approach also allows for handling errors and retries effectively. B. 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: While using SQS to queue API call requests is a good way to manage workload, it adds complexity to the solution. The Lambda function would need to be modified to manage the queue and ensure API calls are made within the threshold limits. This approach might not be as straightforward and efficient as using Step Functions.

B is the most operationally efficient way

b is the answer

sqs decouples lambda from api service

While Step Functions can be used for workflow orchestration, it may not be the most straightforward solution for handling rate limits in this scenario.

ChatGPT: A

B. Option A (AWS Step Functions) might introduce unnecessary complexity and does not directly address the need to control the rate of API calls within the specified limits. Option C (CloudWatch Logs metric and alarm) provides monitoring capabilities but doesn't offer a direct mechanism to control the rate of API calls within the Lambda function. Option D (Kinesis Data Firehose) is designed for real-time streaming and might not be the most suitable option for this scenario, as it may not provide the fine-grained control needed to stay within the API call limits.

A is Correct. AWS Step Functions can be used to create a workflow to handle the API calls. You can make the Lambda function inspect the response headers from the third-party service to determine the current API call limits and then pass that to the Wait state of the state machine for proper delays.

The correct answer is (B). Solution (B) is the most operationally efficient way to refactor the serverless application to accommodate this change. This solution allows the Lambda function to continue executing API calls even if the API call limit is reached. The Amazon SQS queue will act as a buffer for API calls that exceed the limit. The Lambda function can then poll the queue within the API limits.