Nishil Patel
Aug 20, 2024
13 min read
This article covers the top 30+ API testing questions you’d most likely encounter in interviews for diverse software roles. Whether you're applying for fresher roles or a mid-level position that requires a good understanding of API testing fundamentals, this resource will give you a solid grasp on what to expect for you to ace your next tech interview.
1.
Introduction
2.
API Testing Interview Questions
3.
FAQs
The only thing more challenging than understanding the API itself is figuring out what the interviewer really wants from you. If you've ever found yourself wondering if an API interview is meant to test your technical skills or if it's just a mind-bending puzzle from a sci-fi movie, you're definitely not alone.
From the moment you're asked to describe your experience with API testing, you’re thrown into a whirlwind of technical jargon and hypothetical scenarios. You might start off discussing REST and SOAP, only to be hit with further questions that feel like you're decoding a cryptic message. And when it comes to live coding challenges, get ready for APIs that will throw as many curveballs as a cat on a caffeine kick.
As you deal with rate limits and unpredictable responses, keep in mind: the real goal is to blend technical skills with a light touch of humor. So, if you've ever wondered what an API testing interview is all about and how to come out of it with your sanity intact, come along as we answer more than thirty most common questions asked in QA interviews.
APIs (Application Programming Interfaces) allow different software systems to communicate with each other. They use standard rules and protocols, such as RESTful, SOAP, and GraphQL, to facilitate data exchange between servers and software components. API endpoints use code to allow data exchange between different software components.
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An API endpoint is typically a URL string that acts as a point of contact between API clients (frontend apps), such as web apps, mobile apps, or other services to communicate with servers. Using the API endpoints, you can perform various actions such as:
API endpoints normally comprise the:
API testing evaluates that software APIs work well in terms of functionality, performance, security, and reliability. It's a black-box software testing method and a key part of the API lifecycle (planning, designing, development, testing, deployment, and maintenance of APIs).
Read More: API Testing 101: A Comprehensive Guide
Here are the noteworthy API types that would normally come across while developing and testing software:
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Prominent types of API testing include:
Also Read: Unit Testing vs. Integration Testing
Popular API testing tools include:
Check out the complete article on API testing that covers the top features of all the tools mentioned above.
Among many, here are some top benefits of API testing:
Also Read: Quality Assurance vs. Quality Control: Explained
Here’s a summarized table that shows API testing vs. unit testing:
API Testing | Unit Testing |
API testing involves testing the correct functioning of software APIs to check how well different software components interact. | Unit testing verifies that individual units or components of the software function correctly and focuses on the smallest testable parts of an app, such as functions or methods. |
It’s a black-box testing method that does not necessitate programming knowledge and focuses on the output of the system rather than the internal workings. | It’s a white-box testing method that requires knowledge of the internal code workings and access to the source code. |
Usually performed by QA engineers. | Usually performed by the developers. |
Focuses on testing the correctness of server communication and data exchanges. While at it, UI testing may or may not be included. | UI testing is typically included while performing unit tests. |
The request-response cycle is the data exchange mechanism by which user-facing clients (such as web apps, mobile apps, or services) talk to the servers using API endpoints.
In a typical request-response cycle, the client sends a request to an API endpoint, the server processes the request, performs the necessary actions, and generates a response. This response is then transmitted back to the client. This interaction enables clients to retrieve data, update info, or execute specific actions on the server side. Simply put, APIs act as the communication bridge between the client and the servers.
JavaScript Object Notation, or JSON is a popular data representation format and is typically used for data exchange in APIs. It's often preferred for data exchanges between the client and server in REST APIs and provides a standardized way to represent, request, and receive data.
In API testing, JSON helps define the expected request and response formats, as well as validate the data received from the APIs. Developers and QA engineers can create JSON payloads to send with API requests and compare the received responses against expected JSON structures.
REST, or Representational State Transfer is a popular architectural style for APIs that follows a set of guidelines and principles for developing web services and apps. REST APIs typically use HTTP methods like GET, POST, PUT, DELETE, and PATCH to interact with resources.
Top features of REST APIs include:
SOAP, or Simple Object Access Protocol, is a messaging protocol standard for exchanging structured information in the form of XML between systems.
With SOAP APIs, you get:
Common HTTP methods include:
An API key is a unique identifier used to authenticate clients (e.g., apps or users) with an API to access its resources. API keys are often used along with other authentication methods, such as:
Monoliths are single, self-contained apps — typically deployed as a single unit — that bundle all components, including the user interface, data access, and business logic, into a single package.
Microservices are a software architecture style that structures an app as a collection of loosely coupled services, each running in its own process and communicating with each other through lightweight methods, often HTTP-based APIs. These services are independently deployable and scalable.
API testing frameworks provide predefined rules and functions for performing API testing. They offer tools and methods that may vary in customization, from coding-heavy to user-friendly interfaces. Examples include:
Also Read: Top 10 Automation Testing Frameworks and Tools
Authentication and authorization are often used together (sometimes interchangeably too). However, these terms aren’t the same and refer to two very different workflows for ensuring app security.
In the context of API testing, authentication is the process of verifying the identity of the client making the API request, typically using credentials like API keys, bearer tokens, or username and password. Whereas, authorization refers to the process of determining what actions or resources the authenticated client is allowed to access based on predefined permissions or roles.
Request and response headers are key-value pairs that provide additional info about an HTTP request or response and clearly facilitate communication between the client and server.
Here’s a breakdown of info that each contains:
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Query parameters are key-value pairs that can be appended to the end of an API endpoint URL to modify the behavior of the request or filter the response data. They are typically used to provide additional info to the server and are separated from the base URL by a question mark (?).
Query parameters are optional and an API can still function with any query parameters attached. However, they allow for more flexibility and customization of the request, typically used for pagination, sorting, and filtering the returned data based on given criteria in the query string.
For example, in the URL https://api.example.com/v1/products?page=2&limit=10, the query parameters are page=2 and limit=10.
Here’s a breakdown of the above example:
The server interprets this as a request for the second page of products, with a maximum of 10 results per page. To sum up, you have the:
API mocking involves creating simulated versions of APIs that are still under development. It allows developers and testers to configure predefined responses to test and develop applications before the actual APIs are available. This helps identify issues early and ensures smooth integration when the production APIs are implemented.
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API mocking provides a solution for creating controlled testing environments for developers and testers to work with by simulating API responses without relying on the actual API.
Here are a few noteworthy use cases for API mocking:
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Common API authentication methods include:
Fuzz testing is a technique for discovering vulnerabilities and bugs in applications by inputting random, unexpected, or invalid data. This process aims to uncover security loopholes, crashes, and unusual behaviors by testing how the system handles such data. Fuzz testing helps identify weaknesses and ensure robustness in software applications.
API input validation ensures that user input meets specific criteria (e.g., type, format) before processing it. This prevents invalid or malicious data from entering the system. For example, validation might check if an email address is in a proper format.
Input sanitization, on the other hand, involves cleaning or neutralizing potentially harmful characters or data to ensure it is safe for processing. This step is used to remove or escape characters that might be used in injection attacks. For instance, sanitization might strip out or escape HTML tags from user input.
Cookies are small pieces of data stored on the client side and sent to the server with each request. They are used to maintain session state, track user interactions, and store preferences. In API testing, cookies can be used to test authentication flows, session management, and the handling of user-specific data during interactions with APIs.
While they might sound very similar, they aren’t the same. Here’s a summarized table that shows component testing vs. unit testing:
Feature | Component Testing | Unit Testing |
Scope | Specific components or modules. | Smallest testable unit of code. |
Goal | Verifies the correct functioning of a component. | Verifies a unit’s functional correctness. |
Testing Approach | Black-box or grey-box. | White-box. |
Level of Isolation | Less isolated. Individual components might interact with other components. | Highly isolated |
Also Read: What is White Box Testing?
Contract testing is a type of functional testing in APIs that verifies the interaction between the API service providers and the API consumers ensuring that both parties (provider and consumer) adhere to a predefined contract for API usage. This agreement specifies the expected API requests and responses to prevent integration issues by validating that changes in one service do not break the functionality of another service that relies on it.
A service provider is a software app offering specific functionalities or data through an API by defining the API's capabilities and establishing the rules for how other systems can interact.
A service consumer is a system that uses an API to access the functionalities or data provided by a service provider. It sends requests to the provider API and receives responses according to the defined rules.
Also Read: What are End Users?
Among many, here are the common bugs typically encountered while testing APIs:
Also Read: What is Bug Lifecycle?
Cross-Site Request Forgery, or CSRF is a security vulnerability that allows an attacker to trick a user into performing actions on web apps in which they are authenticated, without their consent. This can lead to unauthorized actions being taken on behalf of the user, such as:
Common security threats to APIs include:
Aspect | DDoS Attack | XSS Attack |
Purpose | Overwhelm an API with excessive traffic to make it unavailable or slow down its performance. | Inject malicious scripts into web pages accessed through the API to execute unauthorized actions. |
Target | The API servers, services, or network infrastructure. | End users accessing the API. |
Impact | Causes service downtime or degradation, preventing legitimate users from accessing the API. | Allows attackers to perform unauthorized actions on behalf of users, such as stealing sensitive data or hijacking user sessions. |
Method | Flooding the API with a large volume of traffic from multiple sources to exhaust its resources. | Exploiting vulnerabilities in the API or associated web applications to inject malicious scripts into the response. |
Hashing is a one-way cryptographic function commonly used in API security to protect sensitive data like passwords that transform plain text data into a fixed-size string of characters called a hash. This hash cannot be easily reversed back to the original data, but it can be used to verify its integrity.
Hashing helps prevent attackers from accessing user passwords even if they breach the database. They would only see the hashed values, which are useless without the hashing algorithm to reverse them.
Here's how hashing works in APIs:
Here’s a summarized table that shows hashing vs. encryption:
Aspect | Hashing | Encryption |
Purpose | Data integrity verification, password storage | Data confidentiality, secure transmission |
Process | One-way function, data is converted into a fixed-size hash value | Two-way function, data is transformed into an unreadable format using a key |
Reversibility | Irreversible | Reversible with the correct decryption key |
Use cases in API testing | Password verification, data integrity checks | Protecting sensitive data in transit and at rest, securing API communication. |
Examples | Storing hashed passwords in a database and verifying data integrity in API responses. | Encrypting API keys and securing user data transmission. |
Nishil is a successful serial entrepreneur. He has more than a decade of experience in the software industry. He advocates for a culture of excellence in every software product.
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