API Testing Interview Questions for 2 Years Experience -

Introduction – Why API Testing Is Important in Interviews

Once you reach around 2 years of experience, interviewers no longer test you only on definitions. They expect you to explain how you actually test APIs in real projects.

In interviews, API testing interview questions for 2 years experience are designed to check whether you can:

Validate backend logic beyond UI

Understand REST APIs, HTTP methods, and status codes

Use tools like Postman and SoapUI confidently

Handle real-time issues such as wrong data, failures, and edge cases

Write basic automation scripts or at least explain them

This guide is designed specifically for mid-level QA engineers and includes:

Real-time API examples

JSON/XML samples

Status code explanations

Postman scripts

Automation snippets

Scenario-based interview questions

What Is API Testing? (Clear & Simple)

API testing is a type of software testing that validates the functionality, reliability, performance, and security of APIs (Application Programming Interfaces) by sending requests and verifying responses.

Instead of testing the graphical user interface (UI), API testing focuses on backend communication between systems. APIs act as intermediaries that allow different software applications to exchange data and communicate with each other.

API testing verifies whether APIs:

Return correct responses

Process requests accurately

Handle errors properly

Maintain security standards

Perform efficiently under load conditions

Why API Testing Is Important

Modern applications depend heavily on APIs for communication between:

Web applications

Mobile applications

Databases

Third-party services

Cloud platforms

If APIs fail, important business operations may stop functioning properly.

Areas Validated in API Testing

Functional Validation

Checks whether APIs work according to business requirements.

Data Validation

Ensures API responses contain accurate data.

Error Handling

Validates how APIs behave under invalid conditions.

Security Validation

Checks authentication and authorization mechanisms.

Performance Validation

Measures response time and scalability.

Example

Sending a GET request to:

/users/1

and validating whether the correct user details are returned in the response.

Real-Time Scenario

In a banking application, API testing verifies whether account balance APIs return accurate balance information after successful authentication.

REST vs SOAP vs GraphQL (Interview Comparison)

Feature	REST	SOAP	GraphQL
Protocol	HTTP	XML-based	HTTP
Data Format	JSON / XML	XML only	JSON
Performance	Fast	Slower	Optimized
Flexibility	High	Low	Very High
Usage	Most modern apps	Banking/Legacy	Modern systems

For 2 years experience, strong REST API knowledge is mandatory; basic SOAP understanding is enough.

API Testing Interview Questions for 2 Years Experience (80+ Q&A)

Section 1: Core API Basics (Q1–Q20) 1. What is an API?

An API (Application Programming Interface) allows two software systems to communicate with each other. APIs act as an intermediary layer that enables applications to exchange data and perform operations without directly accessing each other’s internal code.

For example:

A mobile app fetching user details from a server

A payment gateway processing transactions

A weather application retrieving weather data from external services

Modern applications heavily depend on APIs for backend communication and integrations.

2. What is API testing?

API testing validates API requests, responses, status codes, headers, authentication, schema, and business logic without involving the UI layer.

API testing focuses on:

Data validation

Backend logic

Integration testing

Security testing

Error handling

Performance validation

Unlike UI testing, API testing directly validates backend functionality and system behavior.

3. Why is API testing important?

APIs drive communication between systems, applications, and services. A single API defect can impact multiple applications simultaneously.

API testing is important because:

APIs contain core business logic

Backend failures affect entire systems

APIs support frontend and mobile applications

Integrations depend on APIs

Early defect detection reduces cost

API testing improves reliability, stability, and integration quality.

4. Difference between API testing and UI testing?

API Testing	UI Testing
Validates backend logic	Validates frontend behavior
Faster execution	Slower execution
More stable	UI changes may break tests
Focuses on requests/responses	Focuses on user interactions
Easier automation	UI automation is more complex

API testing verifies business logic directly, while UI testing validates user experience.

5. What types of APIs have you tested?

I have mainly tested:

REST APIs

Some exposure to SOAP APIs

REST APIs are commonly used in modern applications because they are lightweight and JSON-based.

SOAP APIs are mostly found in enterprise and legacy systems and usually use XML format.

6. What are HTTP methods?

HTTP methods define the operation performed on resources.

Common HTTP methods:

Method	Purpose
GET	Retrieve data
POST	Create resource
PUT	Full update
PATCH	Partial update
DELETE	Remove resource

These methods are fundamental in REST API testing.

7. Difference between PUT and PATCH?

PUT

PUT performs a full update of a resource.

Missing fields may get overwritten.

PATCH

PATCH performs a partial update and modifies only specified fields.

Example

PUT
{
“name”: “Ravi”,
“email”: “ravi@test.com”
}

PATCH
{
“email”: “new@test.com”
}

Simple difference:

PUT → Full update

PATCH → Partial update

8. What is an endpoint?

An endpoint is a specific URL representing an API resource or operation.

Example

/users/10

This endpoint may return details for user ID 10.

Endpoints are combined with HTTP methods to perform actions.

9. What is request payload?

A request payload is the data sent to the API in the request body.

Payloads are commonly used in:

POST requests

PUT requests

PATCH requests

Example JSON Payload

{
“username”: “testuser”,
“password”: “pass123”
}

The server processes this data to perform backend operations.

10. What is response body?

The response body is the data returned by the API after processing the request.

Example

{
“token”: “abc.def.xyz”,
“userId”: 101
}

Response body validation ensures returned data matches expected behavior.

11. What is stateless API?

A stateless API means each request contains all information required for processing independently.

The server does not store client session data between requests.

Each request should include:

Authentication token

Headers

Parameters

REST APIs are generally stateless.

12. What is idempotency?

Idempotency means sending the same request multiple times produces the same result without additional side effects.

Example

PUT /users/10

Repeating the request should not create duplicate changes.

Idempotent Methods

DELETE

Non-Idempotent Method

POST

POST may create duplicate records if repeated.

13. What is API versioning?

API versioning manages API changes without breaking existing integrations.

Example

/api/v1/users
/api/v2/users

Versioning helps:

Maintain backward compatibility

Introduce new features safely

Support older clients

14. What is authentication?

Authentication verifies the identity of users or systems.

Common authentication methods:

Bearer token

API key

Basic Authentication

JWT token

Authentication ensures only authorized users access APIs.

15. What is authorization?

Authorization verifies access rights after authentication succeeds.

Example

Admin users can delete records

Regular users may only view data

Authorization controls permissions and access levels.

16. What authentication types have you tested?

I have tested:

Bearer Token

Basic Authentication

API Key authentication

Authentication testing includes:

Valid token handling

Invalid token validation

Expired token validation

Unauthorized access testing

17. What is JWT?

JWT (JSON Web Token) is a secure token format used for authentication and authorization.

A JWT contains:

Header

Payload

Signature

Example Header

Authorization: Bearer eyJhbGc…

JWT supports secure and stateless authentication.

18. What is API schema?

API schema defines the structure and data types of requests and responses.

It specifies:

Field names

Mandatory fields

Data types

Nested objects

Example

{
“userId”: 101,
“isActive”: true
}

Schema validation ensures response consistency.

19. What is API chaining?

API chaining means using the response from one API as input for another API request.

Example Workflow

Token used in Profile API

Profile API returns user ID

User ID used in Order API

API chaining validates complete workflows.

20. What is negative API testing?

Negative API testing validates API behavior using invalid or unexpected inputs.

Example scenarios:

Invalid credentials

Missing fields

Expired tokens

Invalid payloads

Special characters

Negative testing ensures APIs handle failures gracefully.

HTTP Status Codes – Must-Know for Interviews

Code	Meaning	Usage
200	OK	Successful request
201	Created	Resource created
204	No Content	Success without body
400	Bad Request	Invalid input
401	Unauthorized	Invalid token
403	Forbidden	No access
404	Not Found	Invalid endpoint
409	Conflict	Duplicate data
422	Unprocessable	Business rule failure
500	Server Error	Backend issue

Section 2: API Validation & Testing Types (Q21–Q45)

21. What validations do you perform in API testing?

Common validations include:

Status code validation

Response body validation

Header validation

Schema validation

Response time validation

Business rule validation

Database validation

Interviewers expect validation beyond status codes.

22. Is status code validation enough?

No.

An API may return 200 OK but still provide incorrect data or invalid business behavior.

Example

{
“total”: -100
}

The status code is successful, but the business logic is incorrect.

Response data and business rules must always be validated.

23. What is positive API testing?

Positive API testing means validating APIs using valid inputs and expected workflows.

Example

Valid login credentials

Correct payload structure

Authorized requests

Expected result:

Successful response

Correct data returned

24. What is negative API testing?

Negative API testing validates API behavior using invalid or unexpected data.

Example

Invalid token

Missing mandatory fields

Wrong data type

Invalid credentials

Expected result:

Proper error handling

Appropriate status codes

25. What is boundary value testing in APIs?

Boundary testing validates minimum and maximum input values.

Example

If valid age range is:

Minimum = 18

Maximum = 60

Test values:

Boundary testing helps identify validation defects.

26. What is API regression testing?

API regression testing means re-testing APIs after code changes to ensure existing functionality still works correctly.

Regression testing is commonly automated for faster execution.

27. What is API smoke testing?

API smoke testing is a basic health check to ensure critical APIs are functioning correctly.

Smoke testing validates:

API availability

Server accessibility

Basic functionality

If smoke testing fails, further testing is usually stopped.

28. What is API security testing?

API security testing validates:

Authentication

Authorization

Data protection

Sensitive data exposure

Access control

Security testing prevents unauthorized access and vulnerabilities.

29. What is API performance testing?

API performance testing validates:

Response time

Throughput

Stability under load

Scalability

Performance testing identifies bottlenecks and slow APIs.

30. What is API rate limiting?

Rate limiting restricts how many requests users can send within a specific time period.

Example

429 Too Many Requests

Rate limiting protects backend systems from overload and abuse.

31. What is pagination testing?

Pagination testing validates APIs that return large datasets in smaller pages instead of sending all records at once.

Pagination improves:

Performance

Response time

Data handling efficiency

Common validations in pagination testing:

Correct number of records per page

Proper page navigation

No duplicate records

No missing records

Correct last-page behavior

Example

GET /users?page=2&size=10

Here:

page=2 → second page

size=10 → 10 records per page

Pagination testing is very common in search and reporting APIs.

32. What is filtering testing?

Filtering testing validates whether query parameters correctly return filtered data.

Filtering helps users retrieve only required records instead of complete datasets.

Example

GET /users?status=active

Expected result:

Only active users should be returned

Common validations:

Correct filtered data

Multiple filter combinations

Invalid filter handling

Empty filter responses

Filtering validation is important for data accuracy.

33. What is sorting testing?

Sorting testing validates whether API responses are returned in the correct order.

Sorting may be:

Ascending

Descending

Alphabetical

Numeric

Date-based

Example

GET /users?sort=name

Common validations:

Correct sort order

Stable sorting behavior

Sorting with filters

Case-sensitive sorting validation

Sorting testing is commonly used in search and analytics APIs.

34. What is schema validation?

Schema validation ensures the API response structure matches the expected API contract.

It validates:

Field names

Data types

Mandatory fields

Nested objects

Arrays

Example

{
“userId”: 101,
“isActive”: true
}

Validations:

userId should be integer

isActive should be boolean

Schema validation helps detect unexpected backend changes.

35. What is API mocking?

API mocking means simulating API responses when actual backend services are unavailable.

Mock APIs are commonly used:

During frontend development

Before backend completion

During integration testing

Common mocking tools:

Postman Mock Server

WireMock

Mockoon

API mocking helps teams continue testing independently.

36. What is API rollback?

API rollback means reversing operations when failures occur during transactions.

Example

Payment succeeds

Order creation fails

Expected behavior:

Payment should be reversed automatically

Rollback testing ensures:

No partial transactions

Data consistency

Transaction integrity

Rollback validation is very important in banking and e-commerce systems.

37. What is API data consistency testing?

Data consistency testing ensures the same data is maintained correctly across multiple systems and services.

Example

If user email changes:

Database

Notification service

Reporting system

should all display updated data consistently.

Data consistency testing prevents synchronization issues.

38. What is API concurrency testing?

Concurrency testing validates API behavior when multiple requests are executed simultaneously.

Example

Multiple users placing orders at the same time.

Common validations:

No duplicate records

Correct stock updates

No data corruption

Proper transaction handling

Concurrency testing helps identify race conditions and synchronization problems.

39. What is API caching?

API caching means temporarily storing API responses to improve performance and reduce backend load.

Instead of processing the same request repeatedly, cached responses are returned faster.

Benefits of caching:

Faster response time

Reduced server load

Improved scalability

Common validations:

Cache expiration

Updated data retrieval

Correct cache headers

Caching is commonly used in high-traffic applications.

40. What is content-type validation?

Content-type validation ensures APIs return responses in the correct format such as JSON or XML.

Common content types:

application/json
application/xml

Example validation

Content-Type: application/json

Incorrect content types may break frontend or integration systems.

41. What is header validation?

Header validation checks whether required headers are present and correctly configured.

Common headers validated:

Authorization

Content-Type

Cache-Control

Example

Authorization: Bearer token

Headers are important for:

Authentication

Security

Data formatting

Caching behavior

42. What is response time SLA?

Response time SLA (Service Level Agreement) defines the maximum acceptable API response time.

Example

An API should respond within:

2 seconds

5 seconds

depending on project requirements.

Example validation

Response time < 2000 ms

Slow APIs negatively affect user experience and system performance.

43. What is contract testing?

Contract testing validates the agreement between API provider and consumer systems.

It ensures:

Request format consistency

Response structure consistency

Schema compatibility

Contract testing prevents integration failures between dependent systems.

It is especially important in microservices architecture.

44. What is API monitoring?

API monitoring continuously tracks API health, uptime, and failures in production environments.

Monitoring includes:

Response time

Error rates

API availability

Failed requests

Server uptime

Monitoring helps teams detect issues before users are impacted.

45. What is API throttling?

API throttling limits API traffic to protect backend systems from overload.

Throttling controls how many requests users can send within a specific time period.

Example

429 Too Many Requests

Throttling helps:

Prevent abuse

Protect server stability

Control resource usage

It is commonly used in public APIs and large-scale systems.

Real-Time API Validation Example

Sample Request

POST /api/login
Content-Type: application/json

{
“username”: “testuser”,
“password”: “pass123”
}

Sample Response

{
“token”: “abc.def.xyz”,
“expires_in”: 3600,
“userId”: 101
}

Validations

The following validations should be performed:

Status code should be 200

Token should not be null

expires_in should be greater than 0

userId should be numeric

Response format should be JSON

Response time should meet SLA limits

These validations ensure both technical correctness and business-level correctness.

API Automation Snippets (Interview-Friendly)

Postman Test Script

Using Postman:

pm.test(“Status code is 200”, function () {

pm.response.to.have.status(200);

});

pm.test(“Token exists”, function () {

const json = pm.response.json();

pm.expect(json.token).to.not.be.undefined;

});

What this validates

API response status

Presence of authentication token

Basic response verification

Postman scripts are commonly asked in API testing interviews.

Rest Assured (Java)

Using Rest Assured:

given()

.contentType(“application/json”)

.body(payload)

.when()

.post(“/login”)

.then()

.statusCode(200)

.body(“token”, notNullValue());

What this validates

Request payload handling

Response status code

Response body field validation

Rest Assured is widely used in enterprise automation frameworks.

Python Requests

import requests

res = requests.post(url, json=payload)

assert res.status_code == 200

assert “token” in res.json()

What this validates

Successful API response

JSON parsing

Token validation

Python is commonly used for lightweight API automation.

Scenario-Based API Testing Interview Questions Answers

1. API returns 200 but incorrect data – what do you validate?

I validate:

Response body

Business logic

Backend calculations

Database values

Schema correctness

A 200 OK response does not guarantee business correctness.

2. Login API works, profile API fails – possible reasons?

Possible reasons include:

Invalid or expired token

Incorrect authorization header

API dependency failure

Environment mismatch

Backend mapping issue

I would debug by checking logs, headers, and authentication flow.

3. Token expired but API still accessible – what defect?

This is a security and authorization defect because expired tokens should not allow access to secured APIs.

Expected response:

401 Unauthorized

4. API works in Postman but fails in application – why?

Possible reasons:

Frontend integration issue

Incorrect headers

CORS problem

Session handling issue

Environment mismatch

UI validation problem

This usually requires frontend and backend debugging together.

5. API slow only in production – what could be the cause?

Possible causes include:

High production traffic

Database bottlenecks

Network latency

Server resource issues

Caching problems

Load balancing issues

Performance monitoring and log analysis are important here.

6. Duplicate records created – what validation missed?

Possible missed validations:

Duplicate data validation

Idempotency checks

Concurrency validation

Retry handling

This issue commonly occurs in payment and order APIs.

7. Unauthorized user accesses secured API – issue type?

This is a security and authorization defect.

Protected APIs should restrict access based on:

User roles

Permissions

Authentication tokens

8. API crashes for special characters – what testing?

This requires:

Negative testing

Input validation testing

Security testing

Special characters should be validated properly to prevent crashes and injection vulnerabilities.

9. Same request returns different responses – why?

Possible reasons:

Caching issues

Database inconsistency

Race conditions

Load balancing problems

Non-deterministic backend logic

Response consistency must always be validated.

10. Payment deducted but order not created – what testing?

This requires:

Rollback testing

Transaction testing

Data consistency validation

Expected behavior:

Either both operations succeed

Or both rollback together

Partial transactions should never occur.

11. API returns null fields – how do you catch this?

I use assertions to validate mandatory fields.

Example

pm.expect(json.userId).to.not.be.null;

Null validations are important for schema and business validation.

12. API response schema changes suddenly – impact?

Possible impact:

Frontend failures

Automation failures

Integration failures

Contract mismatches

Schema validation helps detect such changes quickly.

13. API fails only in CI pipeline – possible reasons?

Possible reasons:

Incorrect environment configuration

Missing environment variables

Authentication failures

Network restrictions

Dependency issues

I would analyze:

CI logs

Pipeline configuration

Test environment setup

14. API returns XML instead of JSON – what issue?

This is a content-type or response-format issue.

Expected header:

Content-Type: application/json

Incorrect response formats may break frontend and automation scripts.

15. Partial data saved after failure – what testing missed?

Possible missed testing areas:

Rollback validation

Transaction validation

Data consistency checks

This indicates improper transaction handling.

How Interviewers Evaluate Your API Testing Answers

Interviewers mainly evaluate:

Clear understanding of API fundamentals

Validation beyond status codes

Real-time project examples

Logical debugging approach

Tool knowledge

Automation awareness

Commonly evaluated tools include:

Postman

SoapUI

Rest Assured

Practical thinking is valued more than memorized definitions.

API Testing Interview Cheatsheet

Never trust only status codes

Always validate response body

Test both positive and negative scenarios

Validate headers and schema

Understand authentication clearly

Practice API chaining

Validate business rules

Think through edge cases

Use meaningful assertions

Be ready with real-time examples and debugging approaches

FAQs – API Testing Interview Questions for 2 Years Experience

Q1. Is Postman enough for 2 years experience?
For many QA interviews, yes — strong Postman knowledge can be enough for 2 years experience, especially for:

Manual API testing roles

Functional API testing roles

Service-based company interviews

QA roles with limited automation requirements

But interviewers at 2 years experience usually expect more than just sending requests and checking status codes.

Q2. Do interviewers expect automation knowledge?
Yes — for many modern QA interviews, especially around 2 years experience and above, interviewers increasingly expect at least basic automation knowledge.

However, the level of expectation depends on:

Role type

Company type

Project requirements

Your experience level

You usually do not need advanced framework expertise unless the role is heavily automation-focused.

Q3. REST or SOAP – which is more important?
For most modern API testing interviews and real-world projects, REST is much more important than SOAP.

Today, most applications use REST APIs because they are:

Lightweight

Faster

Easier to integrate

Easier to automate

Better suited for web and mobile applications

However, basic SOAP knowledge is still useful because some enterprise and legacy systems continue using SOAP services.

Why REST Is More Important Today

REST APIs are heavily used in:

Web applications

Mobile applications

Microservices architecture

Cloud platforms

SaaS applications

Third-party integrations

Most modern backend systems are REST-based.

That is why interviewers focus heavily on REST concepts during API testing interviews.

Q4. Biggest mistake candidates make?
The biggest mistake candidates make in API testing interviews is focusing only on tools and status codes instead of understanding real business behavior and backend validation.

Many candidates think:

“I sent the request in Postman and got 200 OK, so the API works.”

But interviewers expect much deeper analysis, especially for candidates with around 2 years of experience.

1. Trusting Only 200 OK

This is the most common mistake.

Candidates often validate only:

Status code = 200

But APIs can still return incorrect business data.

Example

{
“total”: -500
}

The API technically succeeded, but the business logic is wrong.

Interviewers expect validation of:

Response body

Business calculations

Database updates

Schema

Headers

Workflow behavior

Not just status codes.

2. Knowing Only Basic Postman Usage

Many candidates only know:

Sending requests

Checking response

Viewing status code

But at 2 years experience, interviewers expect more advanced usage such as:

Assertions

API chaining

Dynamic variables

Pre-request scripts

Environment variables

Collection Runner

Negative testing

Example

pm.expect(r.total).to.eql(r.subtotal – r.discount + r.tax);

This demonstrates business validation thinking.

3. Ignoring Business Logic

API testing is not only technical testing.

Interviewers expect candidates to validate:

Discounts

Tax calculations

Order workflows

Payment handling

Access permissions

Duplicate prevention

Example Questions

Can duplicate orders happen?

Can unauthorized users access APIs?

Are invalid transactions blocked?

Does rollback work properly?

Business logic validation is one of the most important interview areas.

4. No Negative Testing Mindset

Many candidates test only happy paths.

Strong candidates always test:

Invalid payloads

Missing fields

Expired tokens

Invalid authentication

Boundary values

Special characters

Empty requests

Negative testing shows deeper understanding of API behavior.

5. Weak Debugging Approach

Weak answer:

“I will report the defect.”

Strong answer:

Check logs

Verify request payload

Compare database records

Validate headers

Analyze backend logic

Reproduce the issue

Check dependent services

Interviewers heavily evaluate troubleshooting ability at this level.

6. No Real-Time Scenario Thinking

Many candidates memorize definitions but struggle with practical questions.

Common interview scenarios:

API returns 200 but wrong data — what do you do?

Payment deducted but order not created — what testing applies?

Retry creates duplicate records — how prevent it?

Interviewers prefer practical thinking over memorized theory.

7. Weak Understanding of Authentication

Candidates commonly confuse:

Authentication

Authorization

JWT tokens

Bearer tokens

401 vs 403

These are among the most frequently asked API interview topics.

You should clearly understand:

How tokens work

How tokens expire

How tokens are passed

Role-based access control

8. No Automation Awareness

Some candidates think API testing means only manual testing in Postman.

But modern projects increasingly expect:

Basic automation knowledge

Assertions

API automation awareness

CI/CD basics

Even simple knowledge of:

Rest Assured

Python requests

Newman

creates a stronger profile.

9. Weak Assertions

Some candidates validate only:

pm.response.to.have.status(200);

Interviewers expect stronger validations such as:

Schema validation

Field validation

Business rule validation

Header validation

Range validation

Assertions should validate meaningful behavior, not just technical success.

10. Explaining “What” but Not “Why”

Weak answer:

“I validated response fields.”

Better answer:

“I validated totals and discounts because incorrect calculations may cause financial defects.”

Interviewers value reasoning and risk awareness.

Q5. How to prepare quickly?
If you want to prepare quickly for API testing interviews, focus only on the topics that Infosys interviewers repeatedly ask.

Do not try to learn everything deeply at once.

interviews usually focus more on:

API fundamentals

Practical testing knowledge

Real-time scenarios

Postman usage

Functional validation

Basic automation awareness

Introduction – Why API Testing Is Important in Interviews

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