15 Postman Testing Interview Questions and Answers
Prepare for your next technical interview with our comprehensive guide on Postman Testing, featuring common questions and expert insights.
Prepare for your next technical interview with our comprehensive guide on Postman Testing, featuring common questions and expert insights.
Postman has become an essential tool for API development and testing, offering a user-friendly interface and robust features that streamline the process of creating, testing, and documenting APIs. Its versatility and ease of use make it a favorite among developers and QA engineers, enabling efficient collaboration and faster development cycles.
This article provides a curated selection of interview questions designed to test your knowledge and proficiency with Postman. By familiarizing yourself with these questions and their answers, you will be better prepared to demonstrate your expertise and problem-solving abilities in a technical interview setting.
Postman is a tool for API testing that allows developers and testers to interact with APIs efficiently. It provides a platform to create, send, and analyze HTTP requests and responses, which is particularly useful for testing RESTful APIs. Key features include:
Environment variables in Postman store data that can change based on the environment. This allows easy switching between setups without manually changing request values. To set an environment variable, use the “Manage Environments” feature. Reference variables in requests using double curly braces, e.g., {{baseUrl}}/endpoint
. You can also set variables programmatically within a request using pm.environment.set
.
Example:
// Setting an environment variable pm.environment.set("authToken", pm.response.json().token); // Using an environment variable in a request header pm.request.headers.add({key: "Authorization", value: "Bearer {{authToken}}"});
A Postman Collection is a group of saved requests organized into folders. They are useful for:
Chaining requests in Postman involves passing data from one request to another using environment or global variables. Set a variable in the response of one request and use it in subsequent requests.
Example:
// First Request - Tests tab pm.test("Set environment variable", function () { var jsonData = pm.response.json(); pm.environment.set("userId", jsonData.id); });
{{}}
.// Second Request - URL GET https://api.example.com/users/{{userId}}
Assertions in Postman validate API responses. To verify a JSON response contains a specific key-value pair, use the pm.expect
function with pm.response.json()
.
Example:
pm.test("Response contains the key-value pair", function () { var jsonData = pm.response.json(); pm.expect(jsonData.key).to.eql("value"); });
Data-driven testing in Postman uses external files like CSVs to drive test cases, separating test logic from test data. Use the Collection Runner to run a collection with different data sets.
Example:
OAuth 2.0 is an authorization framework for obtaining limited access to user accounts. To handle OAuth 2.0 in Postman:
To extract a value from a nested JSON response and use it in a subsequent request, use the pm
object in Postman’s scripting environment.
Example:
// Example response JSON // { // "data": { // "user": { // "id": 12345, // "name": "John Doe" // } // } // } // Extracting the user ID from the nested JSON response pm.test("Extract user ID", function () { var jsonData = pm.response.json(); var userId = jsonData.data.user.id; pm.environment.set("userId", userId); }); // Using the extracted user ID in a subsequent request // In the URL or body of the subsequent request, you can use {{userId}} to refer to the extracted value
Custom functions in Postman scripts encapsulate reusable logic, making tests more modular. Define functions in the Pre-request Script or Tests tab.
Example:
// Define a custom function to check if a value is a valid email function isValidEmail(email) { var re = /^(([^<>()\[\]\\.,;:\s@"]+(\.[^<>()\[\]\\.,;:\s@"]+)*)|(".+"))@(([^<>()[\]\.,;:\s@"]+\.)+[^<>()[\]\.,;:\s@"]{2,})$/i; return re.test(String(email).toLowerCase()); } // Use the custom function in a test pm.test("Check if email is valid", function () { var email = pm.response.json().email; pm.expect(isValidEmail(email)).to.be.true; });
The Collection Runner in Postman executes a series of requests and tests within a collection. It is useful for automated and data-driven testing.
To use the Collection Runner:
To generate and share API documentation using Postman:
To test for rate limiting in an API using Postman:
Common security tests for an API include:
Integrating Postman with tools like Jenkins or GitHub for a CI/CD pipeline involves automating Postman collections and incorporating results into the workflow. Use Newman CLI to run collections from the command line in Jenkins or GitHub Actions.
Example of a Jenkins pipeline script:
pipeline { agent any stages { stage('Install Newman') { steps { sh 'npm install -g newman' } } stage('Run Postman Tests') { steps { sh 'newman run your_postman_collection.json' } } } }
Example of a GitHub Actions workflow:
name: Run Postman Tests on: [push, pull_request] jobs: postman-tests: runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@v2 - name: Install Newman run: npm install -g newman - name: Run Postman Collection run: newman run your_postman_collection.json
Advanced assertions in Postman validate that all items in an array within a JSON response meet a specific condition.
Example:
pm.test("All items in the array meet the condition", function () { let jsonData = pm.response.json(); jsonData.items.forEach(item => { pm.expect(item.property).to.be.a('string'); pm.expect(item.property).to.have.lengthOf.at.least(3); }); });
This checks that each item in the items
array has a property
that is a string with a minimum length of 3 characters.