Nishil Patel
Sep 10, 2024
15 min read
In this article, we’ve covered the top 40 automation testing interview questions. Check out the most-asked questions to blaze through your automation testing interviews.
1.
Introduction
2.
Top 40 Automation Testing Interview Questions
3.
FAQs
LinkedIn data reveals a booming job market for automation testers, with 16000+ open positions in the US alone with a staggering global total exceeding 42000 (as of September 2024). This surge in demand is mirrored by Salary.com reporting a US average salary of $117,397 (as of August 2024) for automation test engineers. In this article, we’ve covered the top 40 automation testing interview questions you’ll most likely come across in your interviews.
Also Read: Top 50+ React Interview Questions
Automation testing is a software testing approach that involves QA and developers executing test cases for a system using automation scripts. Automation isn’t a replacement for manual testing methods, but rather a preferred way to run testing activities using automation frameworks and tools for repetitive tests, tasks that require complex calculations, and long-running tasks prone to human errors.
Also Read: Automation Testing 101: Explained
Among many, here are some noteworthy benefits that test automation is typically known for:
Also Read: Professional Courses and Certifications for QA Testers & Developers
An automation testing framework is software that provides pre-defined guidelines, tooling, and best practices to run automated testing. Test automation frameworks offer reusable methods, functional libraries, object details, and test data sources for testers to create, organize, and execute test cases for software apps in a structured way.
Also Read: Top 10 Automation Testing Tools and Frameworks: With Key Features and Pricing
Here’s a table that summarizes “automation testing framework vs. automation testing tool”:
Automation testing framework | Automation testing tool |
Provides a structured approach with predefined methods, functions, libraries, and test data sources to run automation testing activities. | Typically an app that helps automate test script execution, test result capturing, and test report generation. |
Requires programming expertise. | Programming knowledge isn’t manadatory. |
Steeper learning curve. | Easier than an automation framework to learn and use. |
Requires technical expertise and knowledge to set up and configure. | Easy to set up and use. |
Can be customized as per the user’s expertise | Limited customization options. |
Difficult to maintain | Easier to maintain. |
Examples: Selenium, Appium, Robot framework, Cypress, Playwright. | Examples: Katalon Studio, LambdaTest. |
Key components of a test automation framework include:
Also Read: How to Write Test Cases? A Stepwise Guide
Some of the most widely adopted test automation tools and frameworks include:
Here are some common limitations associated with automation:
Also Read: What are End Users and How to Identify End User Types?
While automation can significantly enhance testing efficiency and coverage, it's not a one-size-fits-all solution. The suitability of automation depends on various factors, including project complexity, scope, and the resources available.
For instance, projects with frequent UI updates often benefit more from exploratory testing than automation, as the latter can become less effective due to the constant need for automation script updates. Moreover, setting up and maintaining automation frameworks isn’t cheap, making it less practical for apps with limited resources and budget constraints.
A test environment is a controlled setup for running tests on a system that closely matches the production environment in which a system would ultimately run. It typically includes setting up and configuring hardware, software, network, external dependencies, and other components necessary to execute tests just like the live environment.
Parallel testing refers to the process of executing the same test cases simultaneously across different environment configurations, browsers, and device combinations. It’s a cost-efficient way to validate system performance on various platforms, devices, or browsers. Automation tools are typically used for testing in parallel to speed up the testing process.
Cross-browser testing verifies that an app runs correctly across popular web browsers, and OSs, and is compatible with assistive tools. It ensures that the application is browser-agnostic and performs well in diverse environments. Moreover, it can identify defects and performance issues on browsers with different rendering engines, CSS support, and JavaScript execution capabilities.
Browser automation involves using scripts or tools to control web browsers automatically typically used for running repetitive tasks, such as form submissions, link clicks, and navigation, to facilitate test automation and web scraping.
Common tests suitable for automation include:
Here are some best practices to consider for test automation:
Also Read: Types of Software Testing Tools: Choosing the Best One
Here are some top benefits of using an automation framework:
Also Read: What is Bug Tracking?
Test scripts are programs with logical instructions to automate the execution of test cases in software. With test scripts, you can:
UI Testing aims to verify an app's user interface (UI) and UI elements function as expected for a positive and cohesive user experience. UI testing is typically aimed towards ensuring that the system UI is:
Here are some common ways in which manual testing differs from automation:
Aspects | Manual Testing | Test Automation |
What it means | Involves running testing activities with manual efforts and testing methods. | Uses automation scripts to run automated tests with automation frameworks or tools. Requires minimal human intervention. |
Programming knowledge | Does not necessitate programming knowledge. | Requires decent programming skills. |
Preferred for | Testing activities that rely on human expertise, knowledge, and experience. | Running repetitive tests, tests that involve complex calculations, and long-running tasks prone to human errors. |
Cost of running | Less expensive. | Typically expensive and resource-intensive |
Maintenance | Easy to set up and maintain. | Automation scripts require high maintenance to adapt to changing requirements. |
Execution speed | It’s a time-consuming and slow process. | Typically faster. |
Batch testing | Not possible. | Possible. |
Examples | Unit testing, exploratory testing, usability testing, compatibility testing, UI testing, and Ad-hoc testing. | Unit testing, regression testing, API testing, performance testing, integration testing, user acceptance testing, and end-to-end testing are top testing methods that can be automated. |
Here’s a list of criteria to keep note of while going for automation:
Shift-left testing is a software testing approach that pushes testing activities to the early phases of development. In the traditional testing approach (shift-right), testing activities are performed once the development activities are complete. Shift-left flips the shift-right approach by bringing in the developers, QA engineers, and testers together as soon as a project kicks off aiming to detect and identify defects in the early stages of SDLC rather than at the end of it, thus, preventing problems from snowballing.
Read More: What is Shift-left Testing? Explained
Here’s a table summarizing “regression testing vs. retesting”:
Aspect | Regression Testing | Retesting |
Focus | Ensures that the existing functions still work after changes. | Verifies if a specific defect has been fixed. |
Scope | Entire system or app. | Specific test cases that originally failed. |
Time of execution | After code changes, updates, or bug fixes. | After bug fixes. |
Goal | To verify overall system stability | To ensure that the defect has been resolved. |
Read More: What is Regression Testing?
While automation can be beneficial, there are scenarios where it may not be the best choice:
API automation involves creating test scripts that simulate interactions with APIs, sending requests, and validating the responses to ensure APIs function as expected, are reliable, and meet performance requirements.
Also Read: Top 30+ API Testing Interview Questions
CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is a challenge-response test used to check whether the user is a human or a computer. CAPTCHAs are typically used to prevent automated bots from performing malicious activities like DDoS attacks, spamming, or account creation fraud. CAPTCHAs often include tasks that humans can easily complete (like identifying distorted text or images) but are very challenging for bots.
The test automation pyramid is a visual representation that shows the optimal distribution of automated tests across different testing levels in the STLC. It suggests that the majority of automated tests should be at the unit level, followed by integration tests, with a smaller number of end-to-end tests and UAT tests.
It includes the testing types considered suitable for automation at four levels:
Also Read: Unit Testing Vs. Integration Testing
Continuous integration (CI) is a DevOps workflow that involves QA and development engineers merging their code changes into a shared repository and running automated tests to identify any issues.
Here’s how to check the effectiveness of test automation in a project:
Data-driven testing involves executing the same test cases with different sets of test data for various scenarios and input combinations without modifying the test scripts.
A test automation report typically includes:
Also Read: Project Reporting 101: Essentials for Every Team
Load testing involves simulating heavy loads on a system to evaluate its performance under peak conditions aiming to identify bottlenecks, performance issues, and ensure the system doesn’t tank, break, or underperform while handling heavy user traffic.
A test suite is a group of related test cases designed to verify a particular aspect of software. These cases are typically organized based on functionality, modules, or any other custom business logic.
Selenium is an automation testing framework for browser automations and cross-browser automations for web apps. It’s an open-source framework that supports all popular browsers (Chrome, Safari, Firefox, and Edge) and offers a collection of tools and libraries for automation purposes. Selenium can be used with Java, Python, CSharp, Ruby, JavaScript, and Kotlin.
Key components of Selenium include:
Here are some limitations of the Selenium framework:
No. Achieving 100% test automation is practically impossible. Approx. 65-70% of all the tests performed for a system require at least some human involvement. These include several important tests that just can’t be automated, such as exploratory tests, ad-hoc tests, UI tests, usability tests, tests that cover complex scenarios, and the ones aimed at covering critical business logic.
Unit tests, API tests, integration tests, and end-to-end tests are typically considered for automation and comprise around 30-35% of all tests. The exact percentage of tests that can be automated varies depending on the specific project and the business requirements. In some cases, it may be possible to automate a higher percentage of tests, while in others, a lower percentage fits best and is realistic to achieve.
Robot is an automation testing framework that uses the keyword-driven approach to write and run automation test scripts. It’s an open-source tool based on a modular architecture.
The Robot framework is typically used to automate functional testing, UAT (User acceptance testing), and unit testing. It also provides built-in libraries for testing databases and user interfaces. It’s an easy-to-use framework suitable for both technical and non-technical users.
Cypress is a JavaScript automation testing framework for web apps. It’s a free and open-sourced framework typically used for running end-to-end testing, component testing, integration testing, and unit testing. Cypress can also be connected with CI pipelines with popular tools such as GitHub Actions, CircleCI, and GitLab CI. It can be installed locally on a system and works well with the TDD or Test-Driven Development approach while writing web apps. You can also record tests using Cypress Cloud.
Also Read: GitHub vs GitLab: Winner!
Here are some key differences between TDD and BDD frameworks:
Aspect | Test-driven Development (TDD) | Behavior-driven Development (BDD) |
Focus | Writing code with a test-first approach. | Validate a system from a user’s perspective. |
What’s tested | Low-level code units to verify the correct functioning of individual units or functions. | High-level testing, simulates user stories, and end-to-end tests. |
Involves | QA, testers, and developers. | QA, testers, developers, stakeholders, and business analysts. |
Scope | Narrow, cover specific functions | Broad, Typically covers a group of functions and fully integrated features. |
Test cases format | Written in a programming language | Test cases are written in natural language syntax (Gherkin). |
Programming knowledge | Required | Programming knowledge isn’t mandatory. Suitable for technical and non-technical members. |
Examples of tools | TestNG, JUnit, Jest, Mocha | Cucumber, SpecFlow |
Here are the six prominent automation testing framework types:
Here are the key steps for the automation testing cycle:
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