Answer - B.
This is also mentioned in the AWS Documentation.
You can insert logging statements into your code to help you validate that your code is working as expected.
Lambda automatically integrates with Amazon CloudWatch Logs and pushes all logs from your code to a CloudWatch Logs group associated with a Lambda function (/aws/lambda/)
Option A is incorrect since the metrics will only give the rate at which the function is executing.
But it cannot help debug the actual error.
Option C is incorrect since there is no need to raise a support ticket with the AWS support team.
Option D is incorrect since this is only used for API monitoring.
For more information on monitoring functions, please refer to the below URL-
https://docs.aws.amazon.com/lambda/latest/dg/monitoring-functions.html
Sure, I can provide a detailed explanation of the answer options:
A. Use AWS CloudWatch metrics: AWS CloudWatch Metrics are a way to monitor and collect data in real-time about the resources and services used in AWS. Metrics help you understand the performance and behavior of your AWS resources, including Lambda functions. You can use metrics to identify issues and to debug problems. In the context of this question, you could use CloudWatch metrics to monitor the Lambda function's invocation rate, error rate, and duration, among other things. This information can help you understand if the function is being triggered correctly, how often it's running, and if there are any issues with its execution. However, metrics alone might not provide enough detail to debug the issue.
B. Use AWS CloudWatch logs: AWS CloudWatch logs are a way to collect, monitor, and analyze log data from AWS resources, including Lambda functions. CloudWatch logs can be used to troubleshoot issues and to debug problems in Lambda functions. The logs contain detailed information about the function's execution, including any errors or exceptions that occurred. In the context of this question, you could use CloudWatch logs to understand what's happening inside the Lambda function. By analyzing the logs, you could identify any errors or exceptions that occurred, and potentially identify the root cause of the issue. CloudWatch logs are a powerful tool for debugging issues with Lambda functions.
C. Raise a ticket with the AWS Support team: Raising a ticket with the AWS Support team can be a good option if you're unable to identify the root cause of the issue on your own. AWS Support can help you troubleshoot and debug problems with your Lambda function, as well as provide guidance on how to optimize its performance. However, raising a ticket with AWS Support can take some time, and it might not be the most efficient way to debug the issue.
D. Use AWS CloudTrail logs: AWS CloudTrail logs provide a record of API calls made in your AWS account, including those made by Lambda functions. CloudTrail logs can be used to identify the root cause of issues with Lambda functions, such as unauthorized access or misconfigured permissions. In the context of this question, you could use CloudTrail logs to understand what's happening at the API level when the Lambda function is being invoked. By analyzing the logs, you could identify any issues with permissions or access that might be causing the problem.
In summary, the most effective and easily understandable way to debug the issue with the Lambda function is to use AWS CloudWatch logs. The logs provide detailed information about the function's execution and can help you identify the root cause of the issue. However, it's also worth considering other options, such as CloudWatch metrics or CloudTrail logs, depending on the specific issue at hand.
