Which of the following best describes the primary purpose of API testing tools?
Think about what APIs do and what testing them involves.
API testing tools focus on sending requests to backend services and checking if the responses are correct, without involving the user interface.
Consider this Postman test script snippet that checks if the response status is 200:
pm.test("Status code is 200", function () {
pm.response.to.have.status(200);
});What will be the test result if the API response status is 404?
pm.test("Status code is 200", function () { pm.response.to.have.status(200); });
Check what the assertion is verifying exactly.
The test expects the response status to be exactly 200. If the actual status is 404, the assertion fails and the test fails.
When configuring an API test in a tool like SoapUI or Postman, which of the following is the best practice for specifying the API endpoint URL?
Think about flexibility and maintainability in tests.
Using environment variables or config files allows easy updates and reuse of tests across different environments without changing the test scripts.
Given an API response JSON: {"user":{"id":123,"name":"Alice"}}, which Postman test assertion correctly verifies that the user's name is 'Alice'?
Focus on accessing the correct JSON property and comparing its value.
Option A correctly accesses the 'name' property inside 'user' and checks if it equals 'Alice'. Other options either check wrong properties or incorrect values.
You need to automate API tests for a RESTful service with complex authentication and data-driven scenarios. Which framework choice below best supports this need?
Consider automation, authentication, and data-driven testing support.
Frameworks like REST-assured or pytest with requests provide built-in support for assertions, authentication, and data-driven testing, making them suitable for complex API automation.