API Testing with Postman - Testing GET Requests

The video tutorial explores the intricacies of testing Git requests, focusing on data consistency, handling unexpected responses, and ensuring security in API testing. Using the Star Wars API as an example, it demonstrates how to check for consistency between related data objects and highlights potential issues like hidden resources being exposed. The tutorial also emphasizes the importance of validating data structures against schemas and encourages a thorough exploration of API functionalities. The video concludes with a preview of the next topic on using parameters in Git calls.

What is one of the main challenges in testing GET requests?

• Predicting the exact response format

• Understanding the server's programming language

• Ensuring the server is online

• Finding the correct API endpoint

In the Star Wars API example, what heuristic is used to test consistency?

• Checking the server's uptime

• Verifying the API's version

• Ensuring relationships between objects are consistent

• Testing the API's response time

What inconsistency was found when testing the people count in the Star Wars API?

• The API returned an error

• The count was higher than expected

• The count was lower than expected

• The count did not match the number of entries

Why is it important to ensure hidden resources are not revealed in an API?

• To prevent unauthorized access

• To improve API performance

• To reduce server load

• To enhance user experience

What is a key consideration when checking the structure of API data?

• Ensuring the data is encrypted

• Verifying the data matches the expected schema

• Checking the data is in JSON format

• Confirming the data is stored in a database

What should be considered when testing how an API handles bad requests?

• The API's response time

• The API's version number

• The error messages returned

• The server's location

What is emphasized as a crucial aspect of API testing in the final section?

• Following strict testing protocols

• Using automated testing tools

• Focusing solely on performance testing

• Being creative and exploratory