Imagine you are building a REST API. Why is it important to use consistent error codes for similar problems?
Think about how clients react when they get the same error code for the same problem.
Consistent error codes let clients write simple, predictable code to handle errors. This improves user experience and debugging.
Given this JSON error response from a REST API, what is the value of the error_code field?
{
"error": {
"message": "Invalid user ID",
"error_code": 4001,
"details": "User ID must be a positive integer"
}
}Look for the field named error_code inside the JSON.
The error_code field holds the numeric code representing the error type, here it is 4001.
Consider this Python code calling a REST API. What error will it raise if the API returns a 404 status?
import requests response = requests.get('https://api.example.com/items/999') response.raise_for_status()
Check what raise_for_status() does when the response status is 404.
The raise_for_status() method raises HTTPError for 4xx and 5xx status codes, including 404.
Why do consistent error messages in a REST API help developers debug issues faster?
Think about how clear messages help when you are trying to fix a problem.
Consistent messages reduce confusion and speed up finding the root cause by giving exact clues.
You want your REST API to return a consistent error response when a required parameter is missing. Which JSON response matches this standard?
Look for a clear structure with numeric code and descriptive message inside an error object.
Option B uses a clear error object with numeric code and descriptive message, matching common REST API error standards.