API Testing Interview Questions

Top 100 API Testing Interview Questions 2025

If you’re preparing for an API Testing interview, you’re in the right place! API testing has become a crucial skill in today’s software development world, especially with the rise of microservices and complex integrations. In this blog, we’ve gathered 100 must-know API testing interview questions for 2025, covering everything from the basics to advanced topics. Whether you’re a fresher, a professional, or an expert, these questions will help you build confidence and ace your interview.

What is API Testing?

API Testing is the process of verifying that application programming interfaces (APIs) work as expected. It ensures the API meets its functionality, reliability, performance, and security standards. Instead of focusing on the user interface, API testing directly tests the business logic, data exchange, and responses between different software systems.

APIs act like messengers that let different software systems communicate with each other. For example, when you use an app to check the weather, your app sends a request to an API, and the API delivers the weather data back to the app. API Testing ensures this communication happens smoothly and without errors.

Key areas tested in API Testing:

  1. Functionality: Does the API do what it’s supposed to do?
  2. Performance: How fast is the response? Does it handle heavy loads?
  3. Security: Is sensitive data protected? Are authentication mechanisms working?
  4. Error Handling: How does the API respond to invalid requests?

Importance of APIs in Modern Software Architecture

APIs are the backbone of modern software. Here’s why they’re so important:

  1. Seamless Integration: APIs allow different applications to work together. For example, a payment API integrates with e-commerce platforms.
  2. Scalability: APIs enable microservices architecture, where software is broken into small, manageable pieces.
  3. Faster Development: Developers can reuse APIs instead of building everything from scratch.
  4. Global Connectivity: APIs power everything from social media logins to IoT devices.

Without APIs, most apps and websites wouldn’t function the way we expect.

Key Skills Required for API Testing Roles

To excel in API testing, you need these skills:

  1. Understanding of HTTP/HTTPS Protocols: Know how APIs communicate using methods like GET, POST, PUT, DELETE.
  2. Knowledge of API Formats: Be familiar with JSON, XML, and how to validate them.
  3. Experience with Tools: Learn tools like Postman, SoapUI, and Rest Assured.
  4. Automation Skills: Knowledge of writing test scripts in programming languages like Python, Java, or JavaScript.
  5. Analytical Thinking: Ability to test edge cases, handle errors, and evaluate performance.
  6. Security Awareness: Know how to test for vulnerabilities like SQL injection or weak authentication.

With these skills, you’ll be ready to test APIs efficiently and contribute to building robust systems!

1. What is API Testing, and why is it important?

API Testing checks if APIs work as expected. It’s important because APIs connect software systems, and any issue with them can cause apps to fail or misbehave. Testing ensures functionality, performance, and security are all up to par.


2. What are the differences between API Testing and Unit Testing?

  • API Testing: Tests how different software systems communicate with each other through APIs.
  • Unit Testing: Focuses on testing individual parts of the code (like a single function or module). API Testing is broader and checks interactions, while unit testing is more detailed and focuses on code correctness.

3. Explain the types of bugs that can be identified with API Testing.

  • Incorrect Data: Wrong data returned by the API.
  • Security Issues: Weak authentication or exposure of sensitive information.
  • Performance Problems: Slow response times or crashes under heavy load.
  • Error Handling: API doesn’t return proper error messages for invalid requests.

4. What are HTTP methods? Provide examples.

HTTP methods are actions you can perform on an API. Examples include:

  • GET: Retrieve data (e.g., fetch a list of users).
  • POST: Send data to create something (e.g., create a new user).
  • PUT: Update existing data (e.g., change a user’s details).
  • DELETE: Remove data (e.g., delete a user account).

5. How do you validate the response status code in API Testing?

Check if the API returns the correct status code. For example:

  • 200: Success.
  • 404: Resource not found.
  • 500: Server error. Tools like Postman or automated scripts can be used to validate these codes.

6. What are API testing tools? Name a few.

These tools help you test APIs:

  • Postman: Great for manual testing.
  • SoapUI: Useful for SOAP APIs.
  • JMeter: For performance testing.
  • Rest Assured: Automates API tests using Java.

7. Define REST API and SOAP API. How are they different?

  • REST API: Uses simple HTTP methods and supports JSON or XML. It’s faster and easier to work with.
  • SOAP API: Uses a more complex XML-based protocol. It’s more secure but slower.

8. What is the role of JSON and XML in API Testing?

  • JSON (JavaScript Object Notation): Lightweight and easy to read, commonly used for APIs.
  • XML (Extensible Markup Language): More structured but heavier than JSON. These formats define how data is sent and received by APIs.

9. How do you handle API authentication in testing?

APIs often require authentication to ensure only authorized users access them. Common methods include:

  • API Keys: A unique key provided to the user.
  • OAuth Tokens: Secure tokens for authentication. Testing involves adding these credentials to headers or parameters.

10. What is the importance of headers in API requests?

Headers provide additional information about the request or response, like:

  • Content-Type: Specifies the data format (e.g., JSON or XML).
  • Authorization: Contains authentication details like tokens. They ensure the API processes the request correctly.

11. What is an API Endpoint?

An API endpoint is the specific URL where an API interacts with another system. For example, in https://api.example.com/users, /users is the endpoint where you can fetch user data.


12. How do you check if an API is working correctly?

To check if an API is working:

  • Send a request using tools like Postman.
  • Validate the response code (e.g., 200 OK for success).
  • Verify the response body contains the expected data.
  • Check headers and performance metrics.

13. What are query parameters in API requests?

Query parameters are parts of the URL that filter or customize API responses. For example: https://api.example.com/users?age=25&status=active Here, age=25 and status=active are query parameters.


14. How do you test the performance of an API?

You test API performance by:

  • Measuring response times under normal and high traffic.
  • Checking how the API handles large amounts of data.
  • Using tools like JMeter or Postman to simulate multiple requests.

15. What is the difference between synchronous and asynchronous APIs?

  • Synchronous APIs: Respond to a request immediately, making the user wait.
  • Asynchronous APIs: Allow the system to handle the request later, so the user doesn’t have to wait.

16. What is the purpose of API documentation?

API documentation provides details about how to use the API, including:

  • Endpoints and HTTP methods.
  • Request and response formats.
  • Authentication requirements. Good documentation makes APIs easier to test and use.

17. What are cookies, and how are they used in API testing?

Cookies store session information sent by the server to the client. In API testing, you check if:

  • Cookies are sent securely.
  • They expire as expected.
  • They store the correct session data.

18. How do you test APIs with limited or no documentation?

When documentation is missing:

  • Explore the API endpoints using tools like Postman.
  • Analyze response data and patterns.
  • Communicate with developers for clarifications.

19. What is a payload in API Testing?

The payload is the data sent in the body of an API request. For example, when creating a user, the payload might look like this in JSON:

{

  “name”: “John”,

  “email”: “[email protected]

}


20. What is API chaining, and how do you test it?

API chaining involves using the output of one API as the input for another. To test:

  • Verify the first API returns the expected data.
  • Use that data in the next API and check the results.

21. What are status codes, and why are they important?

Status codes indicate the result of an API request. Common ones include:

  • 200: Success.
  • 400: Bad request.
  • 401: Unauthorized.
  • 500: Server error. They help diagnose issues quickly.

22. What is the difference between PUT and PATCH methods?

  • PUT: Updates the entire resource.
  • PATCH: Updates only specific parts of the resource. For example, updating a user’s email:
  • PUT requires the whole user object.
  • PATCH requires just the email field.

23. What is API rate limiting?

Rate limiting controls how many requests a user or system can send to an API in a given timeframe. It prevents server overload and abuse. Testing involves checking if limits are enforced correctly.


24. What are environment variables in API testing?

Environment variables store reusable data like API keys, URLs, or tokens. For example, instead of hardcoding https://api.example.com, you store it as a variable and reuse it across tests.


25. How do you test APIs for security?

Security testing includes:

  • Ensuring sensitive data (like passwords) is encrypted.
  • Testing for vulnerabilities like SQL injection or cross-site scripting.
  • Verifying token-based authentication works correctly.

These beginner-level questions help you understand the basics of API Testing. Once you’re comfortable with these, you can move on to more advanced concepts!


1. How do you test an API using Postman?

  • Explain how you create requests, add parameters, set headers, and validate responses.
  • Mention using Postman collections for automation and sharing.

2. What is the difference between functional and non-functional API testing?

  • Functional Testing: Ensures the API works as intended (e.g., returns the correct data).
  • Non-functional Testing: Focuses on performance, scalability, and security.

3. What are common API testing challenges, and how do you handle them?

Challenges include:

  • Limited documentation: Collaborate with developers or explore APIs manually.
  • Data dependencies: Use mocking or test data generators.

4. How do you test the response time of an API?

Use tools like JMeter or Postman to measure how quickly an API responds to requests. Identify bottlenecks if response times exceed acceptable limits.


5. What are API test scripts, and how do you write them?

API test scripts are automated tests written in programming languages like Java, Python, or JavaScript. They validate API behavior by sending requests and verifying responses.


6. How do you test an API for scalability?

Simulate multiple users or high traffic using performance testing tools like JMeter or LoadRunner. Monitor server metrics during the tests.


7. What are the best practices for writing API tests?

  • Test positive, negative, and edge cases.
  • Validate status codes, headers, and response bodies.
  • Use automation for repetitive tasks.

8. What is the role of assertions in API testing?

Assertions verify that the API response matches expected results. For example:

  • Checking if a status code is 200.
  • Validating specific fields in the response body.

9. How do you test APIs with dependent systems?

Use mocking or stubbing to simulate the behavior of dependent systems. This avoids issues caused by unavailable or unstable external APIs.


10. What is API versioning, and why is it important?

API versioning allows changes or updates to APIs without breaking existing integrations. Testing ensures backward compatibility and proper versioning functionality.


11. How do you validate API responses that include large data sets?

  • Test pagination and filtering mechanisms.
  • Validate data structure and consistency.
  • Check performance with large payloads.

12. What is the role of an API gateway in testing?

API gateways manage API requests, handle authentication, and monitor traffic. Testing ensures the gateway enforces policies, such as rate limiting and security.


13. How do you test APIs with multiple environments (e.g., dev, QA, prod)?

  • Use environment variables to switch settings easily.
  • Validate that APIs work consistently across environments.

14. What is API mocking, and when do you use it?

API mocking creates a simulated version of an API. It’s used when the real API isn’t available or to test specific scenarios without affecting production.


15. How do you ensure API requests are idempotent?

Idempotent requests (like GET, PUT, DELETE) should produce the same result no matter how many times they’re executed. Test by sending multiple identical requests and verifying responses.


16. What are some common HTTP error codes, and how do you test them?

  • 400: Bad Request—Send invalid input.
  • 401: Unauthorized—Test with missing/invalid credentials.
  • 500: Internal Server Error—Check how the API handles server-side issues.

17. How do you perform negative testing for an API?

Send invalid inputs, incorrect headers, or unauthorized requests. Verify that the API returns appropriate error messages and status codes.


18. What are pre-request scripts in Postman?

Pre-request scripts run before a request is sent. Use them to:

  • Generate tokens dynamically.
  • Set environment variables.
  • Add custom headers.

19. How do you manage dynamic data in API testing?

Use variables to handle data that changes between tests, such as timestamps, tokens, or unique IDs. Tools like Postman and automation frameworks support this.


20. What are the security tests you perform on APIs?

  • Verify token-based authentication (e.g., OAuth2).
  • Test for vulnerabilities like SQL injection, XSS, or CSRF.
  • Ensure sensitive data is encrypted.

21. What is the difference between REST and GraphQL APIs in testing?

  • REST: Focus on multiple endpoints and HTTP methods.
  • GraphQL: Test queries and mutations to ensure clients receive only the requested data.

22. How do you handle API rate limiting during testing?

Simulate multiple requests within a short timeframe. Ensure the API blocks excess requests and returns the correct status code (e.g., 429 Too Many Requests).


23. What are test suites, and why are they important in API testing?

A test suite is a collection of related tests grouped for easier execution and management. They help ensure comprehensive coverage for all API endpoints and scenarios.


24. How do you test an API for backward compatibility?

Use older versions of the API client to interact with the latest API version. Ensure the API doesn’t break existing functionality for old clients.


25. What are the advantages of automated API testing?

  • Faster execution for repetitive tasks.
  • Better coverage for edge cases and scenarios.
  • Easier regression testing during development cycles.

These intermediate questions test your hands-on experience and problem-solving skills in real-world API testing scenarios. Master these, and you’ll be ready to take on advanced challenges!


1. What is API versioning, and how do you test it?

API versioning allows developers to introduce updates without breaking existing functionality. Test by ensuring:

  • Backward compatibility for older versions.
  • Proper versioning in URLs (e.g., /v1/users) or headers.
  • Handling of deprecated features.

2. How do you ensure backward compatibility in API testing?

  • Test older client versions with the latest API version.
  • Check for consistent response formats and behavior.
  • Validate that changes don’t break existing workflows.

3. What is GraphQL, and how do you test it?

GraphQL is a query language for APIs that allows clients to request specific data. To test:

  • Validate queries, mutations, and subscriptions.
  • Ensure correct response structures and data.
  • Test edge cases like deeply nested queries.

4. How do you test APIs in a microservices architecture?

  • Test each microservice’s API independently.
  • Check inter-service communication (e.g., API chaining).
  • Validate service dependencies using mocking or stubbing.

5. What is API orchestration, and how do you test it?

API orchestration combines multiple API calls to fulfill a specific process. To test:

  • Validate the sequence and logic of calls.
  • Check the accuracy of the final aggregated response.
  • Test error handling for intermediate API failures.

6. What is API load testing, and how do you perform it?

API load testing measures how the system behaves under heavy traffic. Steps include:

  • Simulate concurrent users or requests using tools like JMeter or LoadRunner.
  • Measure response times, error rates, and server metrics.
  • Identify bottlenecks and scalability issues.

7. How do you test APIs with complex data flows?

  • Map the data flow and understand input-output relationships.
  • Validate transformations and intermediate data states.
  • Use tools to automate complex test cases and track data consistency.

8. What are asynchronous APIs, and how do you test them?

Asynchronous APIs don’t return a response immediately. To test:

  • Check if callbacks or webhooks are triggered correctly.
  • Validate the delay and accuracy of the final response.
  • Handle retry logic for missed callbacks.

9. What is API dependency testing, and how do you approach it?

Dependency testing ensures APIs work correctly even when dependent services are unstable or unavailable. Use:

  • Mock servers to simulate dependent APIs.
  • Tests for error propagation and fallback mechanisms.

10. How do you validate API performance during peak loads?

  • Simulate peak traffic with performance testing tools.
  • Monitor API response times and system metrics like CPU and memory usage.
  • Ensure no degradation in service quality.

11. What are idempotent APIs, and how do you verify idempotency?

Idempotent APIs produce the same result no matter how many times a request is made. Test by:

  • Sending repeated identical requests.
  • Verifying the response and resource state remains unchanged.

12. How do you handle testing for third-party APIs?

  • Read the API documentation thoroughly.
  • Test API integration with mock data.
  • Validate fallback mechanisms in case the third-party API fails.

13. What is API throttling, and how do you test it?

API throttling limits the number of requests a user or system can send in a given period. To test:

  • Send requests rapidly to exceed the limit.
  • Verify the API returns appropriate errors (e.g., 429 Too Many Requests).
  • Check if retries work after the limit resets.

14. How do you secure sensitive data in API requests?

  • Use HTTPS to encrypt data in transit.
  • Mask sensitive data (like passwords) in logs.
  • Test for vulnerabilities like exposure of credentials or unencrypted data.

15. What is OAuth 2.0, and how do you test it in APIs?

OAuth 2.0 is a protocol for secure authorization. To test:

  • Validate the token generation and expiration.
  • Ensure secure handling of access and refresh tokens.
  • Check scopes and permissions for API endpoints.

16. How do you test rate limiting policies in APIs?

  • Simulate multiple clients sending requests simultaneously.
  • Verify that the server enforces the rate limit.
  • Test the behavior after the limit resets.

17. What is the purpose of API mocking in advanced testing?

Mocking simulates API behavior to:

  • Test APIs that aren’t fully developed.
  • Isolate testing from external dependencies.
  • Simulate error conditions or unusual scenarios.

18. How do you test APIs with streaming data?

For APIs handling live or continuous data streams:

  • Test latency and throughput of the stream.
  • Validate data integrity and order.
  • Handle interruptions or reconnections gracefully.

19. What are the challenges in API testing for IoT devices?

  • Testing APIs with real-time data streams.
  • Handling different communication protocols like MQTT or CoAP.
  • Ensuring APIs function well under limited bandwidth or intermittent connectivity.

20. How do you test APIs for compliance and standards?

  • Validate adherence to industry standards like REST or SOAP guidelines.
  • Check compliance with data privacy laws like GDPR or HIPAA.
  • Ensure consistent API documentation.

21. What are contract tests, and how are they useful?

Contract tests ensure APIs follow agreed-upon contracts (schemas). They validate:

  • Required fields in requests and responses.
  • Data types and structure.
  • Prevent breaking changes in API updates.

22. How do you handle flaky tests in API automation?

  • Identify and resolve external dependencies causing instability.
  • Use retries or delays in tests to manage timing issues.
  • Regularly review and optimize test scripts.

23. How do you test APIs for data integrity?

  • Compare API responses against the database.
  • Validate that CRUD operations (Create, Read, Update, Delete) maintain accurate data.
  • Ensure no data corruption occurs during transactions.

24. How do you test API retries and failover mechanisms?

  • Simulate failures (e.g., server downtime).
  • Validate retry logic triggers as expected.
  • Check the behavior during failover to backup systems.

25. How do you automate API regression testing?

  • Use tools like Postman, Rest Assured, or Karate to create reusable test scripts.
  • Maintain a suite of tests for all critical APIs.
  • Run automated tests regularly in CI/CD pipelines to catch issues early.

These advanced questions focus on practical, real-world challenges and solutions in API testing. They highlight your expertise and ability to handle complex scenarios.


1. How would you test an API that interacts with multiple services?

  • Identify all dependent services and their roles.
  • Use mocking or stubbing to simulate dependencies.
  • Test error handling if one or more services fail.

2. What is your approach to testing an API with large data volumes?

  • Test performance and response time under high data loads.
  • Validate data pagination, sorting, and filtering features.
  • Ensure data accuracy and completeness in the response.

3. How would you debug a failing API test case?

  • Check the request parameters and headers for correctness.
  • Inspect the API response for errors or unexpected values.
  • Review logs or monitor server-side behavior for potential issues.

4. How do you test an API with incomplete or outdated documentation?

  • Use tools like Postman to explore the API.
  • Analyze responses to understand request requirements.
  • Collaborate with developers for clarification.

5. How do you validate the response of a newly integrated third-party API?

  • Compare the API documentation with actual responses.
  • Test edge cases like invalid or missing parameters.
  • Monitor for consistency in responses over multiple requests.

6. What would you do if an API request returns inconsistent results?

  • Check for issues like server load or caching mechanisms.
  • Validate if the API depends on non-deterministic inputs.
  • Report the inconsistency and work with developers to debug.

7. How do you test an API for real-time data updates?

  • Use tools to simulate real-time requests (e.g., WebSocket testing tools).
  • Validate data consistency and synchronization.
  • Test edge cases like delayed updates or partial data.

8. How do you ensure API security when testing sensitive endpoints?

  • Use token-based authentication and check token validity.
  • Test for vulnerabilities like SQL injection, XSS, or CSRF.
  • Ensure sensitive data (like passwords) is encrypted.

9. What would you do if a critical API fails during testing?

  • Analyze the logs to identify the root cause.
  • Isolate the failure by testing individual components.
  • Communicate the issue to stakeholders with detailed findings.

10. How do you test the compatibility of an API with different client platforms?

  • Use various devices, browsers, or operating systems to test the API.
  • Validate response formats like JSON or XML for compatibility.
  • Ensure consistent performance across platforms.

11. How do you test an API with dynamic input values?

  • Use tools to generate dynamic inputs (e.g., random strings or IDs).
  • Parameterize test cases for reusability.
  • Validate responses against the expected output.

12. How do you test APIs in a CI/CD pipeline?

  • Automate API tests using tools like Postman or Rest Assured.
  • Include the tests as part of the build pipeline.
  • Ensure tests fail the pipeline for critical issues.

13. How do you handle API timeouts during testing?

  • Test with varying network speeds or simulated delays.
  • Validate the timeout error messages.
  • Test retry mechanisms and fallback options.

14. How do you test an API that supports multiple languages?

  • Validate responses in each supported language.
  • Test for proper encoding (e.g., UTF-8) to avoid data corruption.
  • Check for localization issues like currency formats or date formats.

15. What would you do if an API response contains unexpected fields?

  • Validate the API response against the schema or contract.
  • Report mismatches to the development team.
  • Verify if the extra fields impact functionality.

16. How do you test APIs for scalability?

  • Simulate increasing numbers of concurrent users.
  • Monitor server performance metrics like CPU and memory usage.
  • Ensure consistent API behavior under heavy loads.

17. How do you test API rate limiting policies?

  • Send rapid requests to exceed the rate limit.
  • Verify the API returns appropriate errors (e.g., 429 Too Many Requests).
  • Check if requests are processed correctly after the limit resets.

18. How do you handle flaky API tests in automation?

  • Identify the root cause of instability (e.g., timing issues or dependencies).
  • Add retries or delays for consistent results.
  • Regularly review and optimize test scripts.

19. What is your approach to testing APIs in a production environment?

  • Perform only non-destructive tests like GET requests.
  • Monitor logs and metrics for unusual behavior.
  • Use mock environments for destructive tests like POST or DELETE.

20. How would you test an API with multi-step workflows?

  • Break down the workflow into individual API calls.
  • Validate the output of each step and its impact on the next.
  • Test error handling at each stage.

21. What would you do if an API response is significantly delayed?

  • Check for server-side performance issues.
  • Validate network latency and request parameters.
  • Report delays and suggest optimizing the API.

22. How do you test an API for high availability?

  • Simulate server failures or downtime.
  • Validate failover mechanisms and load balancing.
  • Check uptime metrics over an extended period.

23. How do you test APIs that require complex authentication workflows?

  • Simulate login or token generation flows.
  • Test for scenarios like expired tokens or unauthorized access.
  • Validate refresh tokens and session management.

24. How do you ensure API compliance with data privacy regulations (e.g., GDPR)?

  • Check that sensitive data is not exposed in logs or responses.
  • Validate user consent mechanisms for data usage.
  • Ensure personal data is encrypted and anonymized.

25. How do you test an API for edge cases and boundary conditions?

  • Test with input values at their minimum and maximum limits.
  • Simulate unusual scenarios (e.g., empty or overly large payloads).
  • Validate the API’s behavior under extreme conditions.

These scenario-based questions highlight your problem-solving skills and ability to handle real-world challenges in API testing. Be prepared to discuss your approach to these scenarios in detail!

API Testing Tools You Should Know in 2025

Here’s a brief overview of each tool and how it’s relevant to API testing.

1. Postman

  • What It Is: A popular tool for manual API testing, known for its user-friendly interface.
  • Features:
    • Create and send API requests (GET, POST, PUT, DELETE).
    • Validate responses with built-in assertions.
    • Organize requests into collections for better management.
  • Relevance: Ideal for beginners and professionals to test APIs quickly. Also supports automation and collaboration for teams.

2. SoapUI

  • What It Is: A comprehensive tool for testing SOAP and REST APIs.
  • Features:
    • Functional testing for APIs.
    • Supports complex scenarios like security and load testing.
    • Data-driven testing for validating APIs with multiple inputs.
  • Relevance: Perfect for enterprises working with both SOAP and REST protocols, offering extensive customization.

3. JMeter

  • What It Is: An open-source tool designed for performance testing of APIs and web applications.
  • Features:
    • Simulate multiple concurrent users to test API load.
    • Detailed reporting for performance analysis.
    • Supports integration with CI/CD pipelines.
  • Relevance: Best for measuring API performance under heavy traffic and load.

4. Katalon Studio

  • What It Is: A versatile automation tool for testing web, mobile, and APIs.
  • Features:
    • Built-in support for API testing with a user-friendly interface.
    • Supports scripting for complex test cases.
    • Integration with tools like Jenkins for CI/CD workflows.
  • Relevance: A good choice for testers who want a single tool for web, mobile, and API testing.

5. Rest Assured

  • What It Is: A Java library for automating RESTful API tests.
  • Features:
    • Write concise and readable API tests in Java.
    • Supports validations for JSON and XML responses.
    • Easily integrates with Java-based testing frameworks like TestNG or JUnit.
  • Relevance: Perfect for developers and testers comfortable with Java who want to automate REST API tests.

6. Newman

  • What It Is: A command-line tool that runs Postman collections.
  • Features:
    • Execute Postman tests in CI/CD pipelines.
    • Generate reports for test execution.
    • Flexible configuration for automated testing.
  • Relevance: Ideal for integrating Postman tests into automation workflows and continuous testing environments.

7. TestNG

  • What It Is: A Java-based testing framework often used for API testing.
  • Features:
    • Supports annotations for organizing test cases.
    • Easily integrates with Rest Assured for API test automation.
    • Generates detailed HTML reports.
  • Relevance: Widely used in automation frameworks for organizing and managing API tests effectively.

8. Karate DSL

  • What It Is: An open-source framework designed for API testing and automation.
  • Features:
    • Write API tests in a simple DSL (Domain Specific Language).
    • Supports BDD (Behavior Driven Development) style.
    • Built-in JSON and XML assertions.
  • Relevance: A great choice for testers who want to write API tests without needing extensive programming skills.

Final Words: Tips for Excelling in API Testing Interviews

Preparation is key to standing out in an API testing interview. Research the company’s tech stack to understand their preferred tools, languages, and frameworks. This will help you tailor your responses and showcase relevant expertise. Next, practice real-world API testing scenarios to build confidence in handling expected and edge cases during interviews.

It’s also essential to familiarize yourself with both manual and automated API testing tools like Postman, JMeter, or Rest Assured, as versatility is highly valued. Finally, stay updated with the latest trends in API testing, such as advancements in GraphQL, microservices testing, or API security practices. With these tips, you’ll be ready to make a strong impression and excel in your interview. Good luck!

Certified API Testing Professional
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