Which of the following is the most important benefit of automating API tests compared to manual testing?
Think about what automation helps with in repetitive tasks.
Automating API tests mainly helps run tests quickly and repeatedly with the same inputs and expected outputs, ensuring consistency and saving time.
What will be the output of this Python snippet using the requests library in an API test?
import requests
response = requests.get('https://api.example.com/data')
print(response.status_code)What does response.status_code represent in an HTTP request?
The status_code attribute holds the HTTP response status code, such as 200 for success.
Given the API response JSON {"success": true, "data": {"id": 123}}, which assertion correctly verifies the success field is true in Python's unittest framework?
response_json = {"success": True, "data": {"id": 123}}Remember Python boolean True is not the string 'true'.
assertTrue checks if the value is True. The value is a boolean True, not a string.
An API test script fails with a timeout error when calling requests.get('https://api.example.com/data', timeout=1). What is the most likely cause of this failure?
Timeout means the server took too long to respond.
A timeout error usually means the server did not respond within the specified time. Setting a very low timeout can cause this.
Which feature of a test automation framework is most critical for managing complex API test suites with many dependent tests?
Think about tests that rely on results from other tests.
Managing dependencies and test order is key when tests depend on each other's outputs, ensuring correct sequence and reliability.