How can the developer determine the cause of these errors?
Create an Amazon Kinesis Data Firehose delivery stream to receive API call logs from API Gateway. Configure Amazon CloudWatch Logs as the delivery stream’s destination.
Turn on AWS CloudTrail Insights and create a trail. Specify the Amazon Resource Name (ARN) of the trail for the stage of the API.
Turn on AWS X-Ray for the API stage. Create an Amazon CloudWatch Logs log group. Specify the Amazon Resource Name (ARN) of the log group for the API stage.
Turn on execution logging and access logging in Amazon CloudWatch Logs for the API stage. Create a CloudWatch Logs log group. Specify the Amazon Resource Name (ARN) of the log group for the API stage.
Explanations:
Creating an Amazon Kinesis Data Firehose delivery stream for API call logs is not a direct way to troubleshoot HTTP 400 errors. Firehose is typically used for data streaming and storage rather than immediate logging of API errors. The logging needed for troubleshooting should be focused on CloudWatch Logs directly related to API Gateway.
AWS CloudTrail Insights is designed for monitoring API calls across AWS services and would not provide detailed information specific to HTTP 400 errors in API Gateway. CloudTrail focuses on management events rather than the operational logs needed to diagnose API errors.
While AWS X-Ray can help trace requests and identify performance bottlenecks, it does not provide direct logging for API Gateway’s HTTP 400 responses. This option does not focus on logging the execution details needed to diagnose client errors.
Turning on execution logging and access logging for the API stage in CloudWatch Logs allows for capturing detailed request and response logs, which can help determine the cause of HTTP 400 errors by providing insights into the input parameters and the resulting validation errors. This is the most effective method for troubleshooting the specific issue of client requests failing with HTTP 400 status.