Most Asked Manual Testing Interview Questions: For Freshers & Experienced
Updated on Apr 02, 2025 | 8 min read | 6.4k views
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Updated on Apr 02, 2025 | 8 min read | 6.4k views
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Did you know? Despite the rise of automation tools, over two-thirds of software companies continue to rely on manual testing? A common example is usability testing, where human interaction is needed to evaluate the user experience. |
In manual testing interviews, it's important to demonstrate a solid understanding of both foundational and advanced concepts. Focus on key areas like test case design, defect management, and regression testing, while highlighting your ability to execute test plans and prioritize tasks effectively.
In this blog, we’ll start with beginner-level questions on software testing fundamentals. Then, we’ll dive into intermediate and advanced questions covering areas like test case creation, API testing, and tackling practical challenges in manual testing.
Software testing ensures products meet quality standards. As a beginner, it's important to understand manual testing, which involves human evaluation to identify bugs and validate performance.
Below are basic manual testing interview questions for freshers to help you strengthen your knowledge.
Software testing is a crucial process that ensures a software application meets its functional and non-functional requirements, operates as intended, and is free of defects. It involves evaluating the software in actual conditions to identify bugs, usability issues, or performance problems before the product reaches users.
With the rise of Agile and DevOps, continuous testing has become more important to ensure quick feedback during fast-paced development cycles.
What is manual testing? It refers to the process where testers manually execute test cases without the use of automation tools, focusing on evaluating the software from a user’s perspective.
Key Aspects of Software Testing:
Automation and Manual Testing: Both play significant roles in modern testing strategies. Automation is effective for repetitive tasks, while manual testing is crucial for user experience, especially in areas where human judgment is needed, such as UI/UX testing. Manual testing also provides a critical layer of feedback in early development stages and for complex or one-off scenarios that automation can't fully cover
Software testing encompasses a variety of approaches, each suited for different phases of development and testing. Here's a breakdown of the four key types:
Recent trend: More companies are integrating shift-left testing, where testing starts earlier in the SDLC, enhancing early bug detection and improving quality in shorter release cycles.
The following table compares Verification (building right) vs. Validation (building the right product) in testing.
Aspect | Verification | Validation |
Definition | Ensures the software complies with specifications and design standards. | Ensures the product meets user needs and functions in the real world. |
Focus | Building the product right. | Building the right product. |
Purpose | Checking if the code follows defined standards. | Ensuring the software works as users expect in real-life scenarios. |
Example | Manual testing can check if the software meets coding and design standards (e.g., checking if all UI elements are implemented as per design). | Manual testing can check if a feature works as users expect in practical conditions (e.g., checking if the checkout process is intuitive for users). |
Importance in Manual Testing | Important for checking adherence to specifications in areas such as UI design, performance criteria, etc. | Critical in manual testing as human judgment is required to assess user experience and satisfaction. |
Manual Testing Definition involves human testers executing test cases step-by-step without automation tools. Setting up a manual test follows a structured approach to ensure thorough and effective testing:
This structured approach helps identify functional and usability issues early, ensuring timely fixes. However, challenges like inconsistent test data, environment configuration, or incomplete test cases can complicate the process, requiring continuous adjustments and thorough validation throughout the testing phase.
Example:
Test Case ID: TC_001
Test Case Title: Verify login functionality with valid credentials
Test Case Description: This test case will verify if a user can successfully log in with valid credentials.
Test Steps:
Post-Conditions:
Also Read: How to Write Test Cases: Key Steps for Successful QA Testing
API (Application Programming Interface) Testing is a type of software testing that verifies that an API functions as expected. This includes checking whether the API responds correctly to various requests, validates data, handles errors, and integrates properly with other systems.
In manual API testing, you typically use tools like Postman or Insomnia to send requests to an API and validate the responses.
Sample API Request and Response Validation
Scenario: Let's consider an API that returns the details of a user by their User ID.
Step 1: Sending a GET Request Using Postman
Request Headers (Optional):
Postman Request Setup:
Step 2: Validating the API Response
Once you send the request, the Postman will return the response. Here’s how to validate the response:
Sample Response Body:
{
"userId": "12345",
"name": "John Doe",
"email": "johndoe@example.com",
"address": "123 Main St, City, Country"
}
Step 3: Verifying Response Data
In manual testing, once you receive the response, you need to verify:
Step 4: Validating Edge Cases
In addition to validating the correct response, consider testing with edge cases:
Example Test Case for API Testing
Test Case Title: Verify User Data Retrieval via GET Request
Test Case ID: TC_API_001
Test Case Description: Verify that a GET request to retrieve user details by User ID returns correct data.
Pre-Conditions:
Test Steps:
Expected Result:
Response Body:
{
"userId": "12345",
"name": "John Doe",
"email": "johndoe@example.com",
"address": "123 Main St, City, Country"
}
Post-Conditions:
Test Data:
Example: In an e-commerce app, alpha testers might check basic features like adding products to the cart, while beta testers would evaluate the app’s performance across devices and network conditions.
Given the increasing focus on user experience, companies are using beta testing to gather early feedback for post-launch improvements.
A testbed is a controlled environment equipped with the necessary hardware, software, and tools for testing, ensuring consistency across test runs.
For example, a cloud-based testbed might include cloud servers, databases, and automation tools like Jenkins for integration testing. Manual testers use testbeds to perform tests such as regression or performance testing, simulating specific user environments (e.g., browsers, OS, and network conditions).
This helps ensure software reliability and enables bug replication. With the rise of cloud and DevOps, testbeds are now designed to mimic production environments, focusing on scalability and performance.
Manual Testing Definition refers to the process where human testers execute test cases step-by-step without using automation tools. It’s ideal for tasks requiring human judgment, such as UI/UX and exploratory testing, allowing testers to interact with the application like end-users.
In contrast, automated testing uses scripts for predefined tests, speeding up repetitive tasks and minimizing human error. This makes it valuable for verifying code correctness across different environments.
Testing a user’s interaction with an e-commerce checkout flow, ensuring that all steps are intuitive and functioning correctly from the user’s perspective.
Running a script to verify login functionality across different browsers, ensuring the same result is achieved without manual input.
The rise of AI-driven automation is blurring the lines, allowing for faster, more intelligent test execution. However, manual testing remains vital for user-centered tasks where human judgment and subjective evaluation are key.
Also Read: Difference between Testing and Debugging
Manual testing remains essential in many scenarios due to its flexibility. Here’s a structured approach to understanding when manual testing is ideal:
While manual testing can be labor-intensive, its ability to provide nuanced feedback, particularly for creative and exploratory tasks, makes it invaluable, especially in Agile environments where flexibility and quick iterations are crucial.
Manual testing is a subset of software testing, where test cases are executed manually by testers. Software testing includes both manual and automated testing methods. Manual testing is flexible, requiring human intuition for areas like user experience, while automated testing accelerates repetitive tasks.
As more companies adopt continuous testing, the balance between manual and automated testing is crucial for ensuring quick, reliable feedback.
Example: QC could involve bug-tracking during software testing, while QA might entail creating standards for coding and documentation practices to prevent bugs from arising.
With Agile methodologies, QA has become an ongoing, iterative process that spans the entire development lifecycle, focusing on preventative measures rather than just defect identification.
Smoke testing and sanity testing are both essential in the software development lifecycle, but they serve different purposes. Smoke testing ensures that the critical features of an application are functioning correctly after a new build, while sanity testing verifies specific bug fixes or features after updates. Although both are types of acceptance testing, their focus and depth differ.
Here's a quick comparison to highlight the key differences between the two:
Aspect |
Smoke Testing |
Sanity Testing |
Purpose | Quick check of basic functionalities | Verify specific functionalities or bug fixes |
Scope | Broad, shallow testing of major features | Narrow, deep testing of specific areas |
When Performed | After a new build, before detailed testing | After receiving a bug fix or update |
Test Depth | Basic, high-level testing | In-depth testing of changes made |
Example | Testing if the app launches and logs in | Verifying the login bug fix works properly |
Here’s an example of how you might include code snippets for Smoke Testing and Sanity Testing to illustrate the difference between the two testing types, particularly in the context of web application testing.
// Simple Smoke Test: Verify login functionality is working
describe('Smoke Test - Login Functionality', () => {
it('should load the login page', () => {
cy.visit('/login'); // Navigate to the login page
cy.get('h1').should('contain', 'Login'); // Check if the page title is correct
});
it('should allow a user to login with valid credentials', () => {
cy.get('input[name="username"]').type('testuser'); // Type username
cy.get('input[name="password"]').type('password123'); // Type password
cy.get('button[type="submit"]').click(); // Submit login form
cy.url().should('include', '/dashboard'); // Verify that the user is redirected to the dashboard
});
});
Output:
Smoke Test - Login Functionality
✓ should load the login page
✓ should allow a user to login with valid credentials
2 passing (X seconds)
In the Smoke Test example, we test the basic functionality of the login feature to ensure the most critical part of the app works. Smoke testing is often the first step in a new build to quickly check if the application is stable enough for further testing.
Sanity Testing Example (Feature-Specific Test):
// Sanity Test: Verify the login functionality works after recent changes
describe('Sanity Test - Login after Backend Changes', () => {
it('should display an error message with invalid credentials', () => {
cy.visit('/login');
cy.get('input[name="username"]').type('wronguser');
cy.get('input[name="password"]').type('wrongpassword');
cy.get('button[type="submit"]').click();
cy.get('.error-message').should('contain', 'Invalid credentials');
});
it('should login successfully with correct credentials', () => {
cy.get('input[name="username"]').clear().type('correctuser');
cy.get('input[name="password"]').clear().type('correctpassword');
cy.get('button[type="submit"]').click();
cy.url().should('include', '/dashboard');
});
});
Output:
Test 1:
✓ should display an error message with invalid credentials
Test 2:
✓ should login successfully with correct credentials
In the Sanity Test example, the tests are more focused on verifying whether specific functionalities still work after a change or update has been made. The goal of sanity testing is to confirm that recent changes did not break existing functionality and that the app is stable for further, more extensive testing.
Black Box Testing and White Box Testing are two fundamental approaches with distinct focuses in software testing:
Example: In black box testing, a tester may check if a form submits data correctly. In white box testing, the tester might examine the code for correct data handling and validation.
In continuous delivery, white box testing is essential for ensuring secure, efficient code in fast-changing codebases.
Example: In manual testing, testers interact with a website to check a user flow, while in automation testing, scripts automatically run through the same tests.
The use of AI and machine learning in automation is expanding, allowing for smarter, more adaptive test automation, but manual testing still plays a critical role in usability and exploratory testing.
To become a software tester, you need a combination of technical and soft skills, including:
Knowledge of Testing Tools: Familiarity with tools like JIRA, Selenium, or QTP is valuable.
When you’re starting out as a fresher in manual testing, you might encounter various concepts and terminology. It’s essential to understand these topics to clear interviews and succeed in your career. Below, you’ll find basic manual testing interview questions and answers that will help you prepare effectively.
Exploratory testing is an unscripted approach where testers actively engage with the application to find defects, based on their intuition and experience. It is ideal when documentation is minimal or when quick feedback is needed during the early stages of development. This type of testing allows testers to identify unexpected issues that may not be covered in predefined test cases.
This type of testing is valuable in finding hidden bugs and improving software quality in practical scenarios.
When explaining the testing process in an interview, start by outlining the key phases:
Highlight collaboration with teams, like developers and business analysts, and mention how you adapt to changing requirements. Explain how the testing process ensures software quality and performance before release, showcasing your systematic approach.
Also Read: Agile Project Tools 2025: Find the Best Software Now!
A test case defines the conditions under which a tester will evaluate the software. It includes specific inputs, actions, expected outcomes, and testing conditions. It ensures comprehensive coverage of features and validates software functionality.
As development accelerates with CI/CD, test cases now need to be adaptable for frequent iterations, ensuring new features and bug fixes are validated efficiently.
A test scenario is a high-level description of a feature or functionality that needs testing. Unlike test cases, which are detailed, test scenarios provide a broader view, guiding the creation of specific test cases.
Test scenarios help prioritize testing areas, especially in Agile environments, where flexibility and quick feedback are crucial.
Test data represents the values used during test execution to simulate real inputs and validate the software’s behavior under various conditions. High-quality test data ensures accurate testing results, especially for edge cases.
With the growing importance of data privacy and GDPR compliance, test data management must now ensure that sensitive information is anonymized or simulated.
A test script automates the execution of test cases, improving efficiency by reducing human intervention. It is written using scripting languages or automation tools.
With AI-driven automation tools gaining traction, test scripts are becoming more intelligent, adapting to dynamic user interfaces and improving test coverage in continuous delivery pipelines.
Manual testing offers hands-on experience and a comprehensive understanding of software behavior. As a fresher, it enables you to develop key skills such as:
For Agile teams, manual testing remains essential for quick feedback and to explore areas that automated tests can’t handle, especially early in development.
Code Snippet Example: Simple JavaScript for Manual UI Testing (Form Submission and Button Clicks)
// Simple JavaScript for testing a form submission and button click
document.getElementById("testButton").addEventListener("click", function() {
// Simulating a button click for manual testing
alert("Button clicked!");
});
function validateForm() {
let name = document.getElementById("name").value;
if (name == "") {
alert("Name must be filled out");
return false; // Form submission is blocked for invalid data
}
return true; // Form can be submitted if validation passes
}
// Example of manually testing form submission
document.getElementById("submitButton").addEventListener("click", function() {
if (validateForm()) {
alert("Form submitted successfully!");
}
});
Output:
1. When you click on Test Button (id="testButton"):
2. When you click on Submit Form (id="submitButton") with:
Despite its advantages, manual testing also has some drawbacks, especially for fresher testers. These include:
With DevOps and Agile emphasizing speed, balancing manual testing with automation is essential to maintain testing efficiency and coverage.
For effective regression testing:
With the rise of CI/CD pipelines, regression testing has become more frequent and automated, ensuring that new features don’t disrupt existing functionality.
Test cases are written to ensure that a specific functionality works as expected. A well-organized test case can provide clear steps to validate the function or feature and help in debugging when needed. Here’s how you can write and organize your test cases effectively:
Steps to Write and Organize Test Cases:
Example Test Case (for simple UI testing in JavaScript):
Here is an example of how a simple test case for a login functionality can be written in JavaScript using a test framework like Jest:
describe('Login Functionality Test', () => {
it('should redirect to the dashboard after successful login', async () => {
// Simulate user inputs
const username = 'user123';
const password = 'password';
// Call the login function
const result = await login(username, password);
// Check if the result matches the expected redirection
expect(result).toBe('dashboard');
});
it('should show error for incorrect login credentials', async () => {
// Simulate incorrect user inputs
const username = 'user123';
const password = 'wrongPassword';
// Call the login function
const result = await login(username, password);
// Check if the error message is shown
expect(result).toBe('Incorrect credentials');
});
});
// Dummy login function
async function login(username, password) {
if (username === 'user123' && password === 'password') {
return 'dashboard'; // Redirect to dashboard
} else {
return 'Incorrect credentials'; // Error message
}
}
Organizing Test Cases in a Tool:
In a Test Management Tool like JIRA or TestRail, you would enter these test cases in a structured format and assign them to specific versions, sprints, or modules. You would also track the execution of each test case and its status (pass, fail, blocked), helping your team stay organized and focused on testing goals.
If you're using JIRA, for instance, you can create a custom "Test Case" issue type and include fields like:
These tools can also integrate with automation frameworks and provide detailed reports on test case execution, making it easier to track progress and manage your testing efforts.
Example: Pseudo-code for Exploratory Testing with Random Data
function generateRandomData() {
// Random name generator (letters only)
const name = Math.random().toString(36).substring(2, 15);
// Random number for testing
const number = Math.floor(Math.random() * 1000);
// Random date
const date = new Date(Date.now() - Math.floor(Math.random() * 1000000000)).toISOString();
return { name, number, date };
}
function performTest() {
let testData = generateRandomData();
console.log('Generated test data:', testData);
// Manually check functionality with random inputs
// Example: Simulate form submission with random data
submitForm(testData);
}
function submitForm(data) {
// Assuming a function to submit form data
console.log("Form Submitted with data:", data);
// Mock some assertions for testing:
if (data.number > 500) {
console.log("Test Passed: Number is within acceptable range.");
} else {
console.log("Test Failed: Number is out of range.");
}
}
Output:
Generated test data: { name: 'bsjdslaksd', number: 574, date: '2022-03-16T00:39:48.839Z' }
Form Submitted with data: { name: 'bsjdslaksd', number: 574, date: '2022-03-16T00:39:48.839Z' }
Test Passed: Number is within acceptable range.
Test coverage measures the extent to which the software's codebase and functionalities are tested. In manual testing, it involves ensuring that all code paths, branches, and conditions are exercised. To ensure adequate coverage:
Also Read: Must Have Skills for Software Tester in 2024
With the basics in mind, let's now look at manual testing interview questions for experienced professionals.
As an experienced tester, you should demonstrate a deep understanding of manual testing concepts and best practices. The following interview questions cover advanced topics on testing procedures, methodologies, and strategies.
With Agile adoption increasing, collaborative test case reviews have become key to enhancing test quality.
Usability testing ensures the product is intuitive and user-friendly. Focus on:
As UX becomes a competitive differentiator, usability testing is integral in continuous delivery pipelines to rapidly iterate and improve the user experience.
Software testing includes:
With Agile and DevOps emphasizing speed, shift-left testing ensures earlier testing integration, catching defects earlier in development.
Functional and non-functional testing serve different purposes in ensuring the software meets both its technical and user requirements.
When to Apply:
Use functional testing early in development to validate core features. Transition to non-functional testing when preparing for scaling, optimization, or stress testing. With the rise of cloud-native applications, non-functional testing has become increasingly important, especially concerning scalability and security issues.
For Manual Testing Interview Questions for Experienced, you may be asked to explain both testing types in detail, demonstrating when and how to apply each approach to address different testing objectives effectively.
Also Read: Functional vs Non-functional Requirements: List & Examples
Regression testing ensures that changes (bug fixes, enhancements) haven’t affected the software’s existing functionality. This is vital after any code changes to confirm that new issues haven’t been introduced.
Example: After fixing a bug in the payment gateway, you’d run regression tests to verify the entire checkout process still works.
With CI/CD pipelines gaining traction, automated regression testing accelerates the testing process and ensures software stability with frequent updates.
Also Read: Different Types of Regression Models You Need to Know
Equivalence Partitioning divides input data into valid and invalid partitions, reducing the number of test cases while ensuring broad coverage.
Example: If an input accepts values between 1–100, valid partitions are 1–100, and invalid partitions are below 1 or above 100.
This technique optimizes testing efforts and increases test efficiency, particularly in Agile frameworks where testing cycles are rapid.
Boundary Value Analysis (BVA) tests edge values of input ranges, as they are more likely to introduce defects. By targeting boundaries, you can identify potential issues that lie at the extremes.
Example: For a system accepting values between 1–100, test values like 0, 1, 100, and 101.
BVA is increasingly critical in performance testing for systems requiring strict input validation under high-traffic conditions.
End-to-End (E2E) Testing ensures that the entire system functions as intended in actual scenarios by simulating user interactions across the entire workflow.
Example: For an e-commerce site, an E2E test would verify a user searching for a product, adding it to the cart, and completing the checkout process.
As microservices architectures rise, E2E testing validates system-wide integration, ensuring components work cohesively.
When growth outpaces standard testing, consider:
As organizations scale, test orchestration tools like Kubernetes are being adopted for streamlined, efficient testing in cloud environments.
Also Read: Top Software Developer Skills You Need to Have: How to Improve them
You can confidently say the code meets specifications when:
This approach aligns with modern DevOps practices, where code quality is continuously validated with rapid feedback through automated tests.
Manual security testing involves identifying vulnerabilities without automated tools. Steps include:
As cybersecurity threats grow, manual testing complements automated security tools by providing a human perspective on potential risks.
The Software Testing Life Cycle (STLC) is a subset of the broader Software Development Life Cycle (SDLC) and focuses specifically on the testing process. Here's a breakdown of the phases involved:
In essence, while the SDLC covers the full software development process, the STLC ensures that the software undergoes thorough testing throughout its lifecycle, meeting functional, performance, and security requirements. Both cycles collaborate to ensure the delivery of high-quality, reliable software.
When it comes to integration testing, two key approaches—Top-Down and Bottom-Up—offer distinct strategies for validating different layers of a software system.
Example: Testing the user interface (UI) and interacting components before verifying the database or backend services.
Example: Testing individual functions or backend services first, then progressively integrating with the UI or other top-level components.
Both approaches are valuable in different contexts. The Top-Down Approach is often used when the focus is on user-facing features, while the Bottom-Up Approach is preferred when ensuring the stability of foundational components. In complex systems, especially in microservices environments, a combination of both is often used to ensure comprehensive integration testing.
Static and Dynamic Testing are two essential approaches that focus on different aspects of software quality—one before execution and one during.
Example: Code reviews and walkthroughs, where developers or testers examine the codebase to identify issues like poor structure or inconsistent logic.
Example: Functional testing, where the software is tested to ensure it performs the intended tasks, or performance testing, where the system is checked for speed and stability under load.
In summary, static testing helps catch defects early and reduces costs by addressing issues in the planning and coding stages, while dynamic testing validates the software's actual behavior and performance during execution.
Both types of testing ensure that the software works efficiently and meets user expectations.
For large projects:
In Agile environments, real-time collaboration through tools like Confluence enhances documentation efficiency and accessibility.
Testing applications with multiple user roles presents challenges like ensuring proper access control, data integrity, and functionality for each user type. To handle these challenges:
Given the rise of role-based security in cloud-based systems, test cases should also simulate real-time role changes to ensure the system reacts as expected.
To ensure performance across various environments:
With cloud-based environments and growing use of hybrid systems, testing on various configurations has become more important to ensure reliability.
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Also Read: Skills to Become a Full-Stack Developer in 2025
Some tools used for manual testing and test management include:
These tools help streamline the testing process and improve efficiency.
Entry criteria define the conditions that must be met before testing begins. These criteria ensure that the system is in a stable state for testing, and that all necessary preconditions are fulfilled.
Steps to Set Entry Criteria:
Example: A system is ready for testing only once the code is stable, all functional requirements are defined, and the testing environment is set up.
Exit criteria, on the other hand, define when testing can be concluded. They ensure that testing has been thorough and has met its objectives.
Steps to Set Exit Criteria:
Example: Testing is concluded when all critical defects are fixed, test cases are executed, and the system meets the agreed-upon quality standards.
Entry Criteria Example:
Validating that the environment is set up properly before running tests.
// Entry Criteria: Validate environment setup before running tests
function validateEnvironment() {
// Check if necessary software/services are running
if (!isDatabaseConnected()) {
console.error("Database is not connected. Cannot proceed with tests.");
return false;
}
if (!isApiEndpointAvailable()) {
console.error("API endpoint is down. Cannot proceed with tests.");
return false;
}
if (!isTestDataAvailable()) {
console.error("Test data is missing. Cannot proceed with tests.");
return false;
}
console.log("Environment setup validated. Proceeding with tests...");
return true;
}
function isDatabaseConnected() {
// Simulate check
return true; // Change this based on real connection check
}
function isApiEndpointAvailable() {
// Simulate check
return true; // Change this based on real endpoint status
}
function isTestDataAvailable() {
// Simulate check
return true; // Change this based on real data availability
}
// Run entry check
if (!validateEnvironment()) {
console.log("Entry criteria failed. Exiting tests.");
} else {
// Proceed with testing logic here...
}
Output:
Environment setup validated. Proceeding with tests...
Database is not connected. Cannot proceed with tests.
Entry criteria failed. Exiting tests.
Exit Criteria Example:
Verifying that no critical bugs remain after testing.
function validateExitCriteria() {
let criticalBugsRemaining = checkForCriticalBugs();
if (criticalBugsRemaining) {
console.error("Critical bugs detected. Exit criteria failed.");
return false;
}
console.log("All critical bugs fixed. Exit criteria met.");
return true;
}
function checkForCriticalBugs() {
// Simulate bug check - you would ideally query a bug tracking system here
let bugs = ["Bug #1", "Critical Bug #2", "Bug #3"]; // Include a critical bug
let criticalBugs = bugs.filter(bug => bug.includes("Critical"));
return criticalBugs.length > 0; // If there are any critical bugs, return true
}
// Run exit check after tests
if (!validateExitCriteria()) {
console.log("Exit criteria failed. Additional work required before release.");
} else {
console.log("Tests passed successfully. Ready for release.");
}
Output:
Critical bugs detected. Exit criteria failed.
Exit criteria failed. Additional work required before release.
Functional decomposition involves breaking down a system into smaller, manageable components for testing. This allows testers to focus on specific functions of the system rather than testing everything at once.
It helps improve test coverage and ensures thorough testing of each component.
To assess the quality of a test case:
As Agile methodologies require rapid iterations, focusing on automated test case validation can improve coverage without sacrificing speed.
Now, let’s look at problem-driven questions designed to assess your practical manual testing knowledge.
In manual testing, practical problems often arise that require effective decision-making and creative solutions. Being able to answer problem-based interview questions shows your ability to handle practical challenges in the testing process. This section will help you prepare for these scenarios with the appropriate strategies and insights.
Stopping testing requires evaluating clear criteria:
Recent Update: With CI/CD pipelines, testing often continues even after product releases, requiring adaptive decisions on when to stop, based on data-driven insights.
Manual Testing Project: A Step-by-Step Approach
1. Project Overview
2. Your Role & Responsibilities
3. Testing Process Walkthrough
4. Collaboration & Communication
5. Outcome & Impact
6. Key Learnings & Improvements
Why This Approach Works:
By following this structure, you’ll effectively communicate both your technical expertise and your ability to overcome challenges in the manual testing questions and processes.
Automated testing is effective in these scenarios:
Update: With the rise of AI-powered testing tools, automation is becoming more intelligent, reducing maintenance costs and making it easier to adapt to new requirements.
Complete testing is impossible due to:
Recent Insight: As Agile and DevOps practices accelerate release cycles, achieving 100% bug-free software is increasingly unfeasible, but early defect detection remains key.
When performing manual testing, detecting performance bottlenecks involves simulating real-world conditions and using various techniques to observe how the application behaves under different stress levels.
Update: Cloud-based tools like AWS Performance Testing now enable scalable load tests for distributed applications, enhancing accuracy in high-traffic environments.
Understanding What is Manual Testing and applying it to performance testing helps ensure that you can effectively detect and address performance issues before the product is released.
Also Read: The Ultimate Guide to Agile Methodology in Testing: Practices, Models, and Benefits
When requirements change:
Current Practice: Teams using Jira and Confluence integrate stakeholder feedback in real-time, adjusting the test scope immediately to maintain alignment.
When working under tight deadlines, focus on:
Insight: Incorporating automated tests alongside manual efforts can expedite the process without compromising quality, especially under time constraints.
Ensure communication by:
Insight: Integration with tools like Slack and Trello has improved real-time collaboration, ensuring teams stay agile and responsive.
For intermittent bugs:
Update: Incorporating AI-driven log analysis tools has significantly reduced the time spent on investigating and reproducing these elusive issues.
Risk analysis helps prioritize testing by evaluating:
Recent Insight: Risk-based testing has become essential in Agile and DevOps pipelines, helping prioritize tests in shorter release cycles for faster feedback.
When documentation is scarce, you can:
Update: Agile teams often use pair testing to collaborate closely, ensuring faster knowledge sharing when documentation is scarce.
Under tight deadlines, testers often face several challenges:
Tip: To mitigate these issues, prioritize critical paths, and use risk-based testing to focus efforts on areas most likely to impact users. Leveraging automation for regression testing also speeds up the process without compromising coverage.
When delivering with known bugs:
Best Practice: Using Kanban boards and Jira can help visualize and prioritize defects, ensuring transparency in decision-making.
To manage disputes over defect validity:
Insight: Tools like Jira or Azure DevOps can streamline the defect tracking process, making it easier to have data-driven discussions with developers.
Also Read: What is Software Architecture? Tools, Design & Examples
The success of a testing effort can be measured by:
Modern Insight: In Agile environments, tracking velocity and cycle time gives teams real-time metrics on testing effectiveness, allowing for continuous improvement.
Post-release testing or maintenance testing involves:
Recent Trend: With DevOps practices, continuous testing and integration have become essential for maintaining product quality across multiple release cycles.
In Agile, even with fast-paced development, documentation plays a critical role in maintaining clarity and alignment across teams.
For Manual Software Testing Interview Questions, you may be asked how you handle documentation in Agile environments, demonstrating your ability to maintain comprehensive, up-to-date records that support effective testing and collaboration.
When requirements conflict, take these steps:
Best Practice: Using user stories and acceptance criteria in Agile methodologies helps clarify priorities and resolve conflicts early.
Frequent deployments require:
Update: Shift-left testing has gained momentum, allowing teams to start testing earlier in the development process to identify issues in real time.
Example: Exploratory testing is guided by test charters or areas of focus, while ad-hoc testing relies on random exploration to uncover unexpected issues.
Insight: Agile teams often combine both approaches for better adaptability and thorough defect detection during sprints.
Risk-based testing involves:
Recent Trend: With the rise of AI-driven test management tools, teams can now perform real-time risk assessments based on advancing project needs, ensuring targeted testing efforts.
Best practices for testing customer-facing applications include:
Insight: With the increasing use of mobile-first design, responsive testing is critical for ensuring seamless experiences on all devices.
Code Snippet: Input Validation and Boundary Testing (JavaScript Example)
// Function to check if a number is within a specified range
function isInRange(value, min, max) {
if (typeof value !== 'number') {
throw new Error('Input must be a number');
}
return value >= min && value <= max;
}
// Example test case function for validating boundary conditions
function testIsInRange() {
try {
// Valid cases
console.assert(isInRange(5, 1, 10) === true, 'Test Case 1 Failed');
console.assert(isInRange(1, 1, 10) === true, 'Test Case 2 Failed');
console.assert(isInRange(10, 1, 10) === true, 'Test Case 3 Failed');
// Invalid cases
console.assert(isInRange(0, 1, 10) === false, 'Test Case 4 Failed');
console.assert(isInRange(11, 1, 10) === false, 'Test Case 5 Failed');
// Boundary check for non-number input
try {
isInRange('a', 1, 10);
} catch (e) {
console.assert(e.message === 'Input must be a number', 'Test Case 6 Failed');
}
console.log('All tests passed!');
} catch (error) {
console.error(error);
}
}
// Run the test case function
testIsInRange();
Output:
All tests passed!
In case any test fails, it will print something like this:
Test Case 1 Failed
Test Case 4 Failed
.....
When facing an unstable test environment, the following steps can help mitigate delays and keep the testing process on track:
Trend: In cloud-based testing, the rapid provisioning of new test environments using Infrastructure-as-Code has become a key trend to minimize downtime and improve testing efficiency.
For Manual Testing Interview Questions and Answers, expect to be asked about handling unstable test environments and how you would approach the situation to keep testing on track, especially when collaborating with different teams.
Also Read: Agile Methodology Steps & Phases: Complete Explanation
Testing a program 100% thoroughly or ensuring it's bug-free is not feasible due to several factors:
Update: Shift-left testing and continuous integration allow for earlier detection of bugs, but 100% bug-free software remains unrealistic.
While automation testing offers significant benefits, it cannot entirely replace manual testing because:
While automation can handle repetitive tasks efficiently, manual testing remains indispensable for specific scenarios, particularly those requiring human intuition and flexibility.
To ensure a product meets accessibility requirements, manual testing should focus on verifying compliance with WCAG (Web Content Accessibility Guidelines) and other relevant standards. Steps include:
AI tools are being integrated into manual testing to automate certain accessibility checks, but human testers still play a crucial role in validating complex usability aspects.
Having understood the challenges, here are some tips to enhance your performance in manual testing interviews.
To excel in manual testing interviews, you must build a strong foundation in core testing concepts and showcase your problem-solving abilities. Preparation is key, and focusing on the following tips will help you stand out.
Below are some essential tips and strategies to help you succeed in manual testing interviews:
By focusing on these areas, you’ll be able to confidently tackle both technical and behavioral questions in your interview.
Also Read: Top 35 Software Testing Projects to Boost Your Testing Skills and Career
In conclusion, excelling in manual testing goes beyond theory. Focus on key areas like test case creation, defect tracking, and regression testing, while gaining hands-on experience with tools like Jira. Strong problem-solving and communication skills are crucial for collaborating with teams on complex issues.
To prepare for manual testing interviews:
If you’re looking to advance your career and gain more in-depth knowledge, seek personalized guidance through upGrad’s career counseling. You can also visit an upGrad offline center for tailored advice and support to help you succeed in manual testing questions and interviews!
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