Introduction: Why Candidates Search for SQL Interview Questions for Manual Testing
If you are preparing for a QA or manual testing interview, you might already know that manual testing alone is not enough. Most companies today expect testers to validate not only the UI but also the backend data. That is why candidates actively search for SQL interview questions for manual testing.
In Real Projects
- UI may show correct data, but the database may be wrong
- Payments may succeed, but records may not be saved
- User actions may not reflect correctly in backend tables
Interviewers Want QA Testers Who Can
- Test features manually
- Verify data using SQL queries
- Identify root causes quickly
- Communicate clearly with developers
This is why SQL interview questions for manual testing are asked in almost every interview question for QA roles—especially for product-based and data-driven applications.
This article is a fully SEO-optimised, job-preparation guide that covers:
- Manual testing basics (for context)
- SQL interview questions for manual testers
- Real-time manual testing questions with SQL
- Scenario-based questions with easy explanations
- Real company interview round questions
- Best answers to manual testing interview questions involving SQL
What is Manual Testing? (Simple Definition with Example)
Manual Testing is the most fundamental approach in the Software Testing Life Cycle (STLC). It is the process of manually testing software applications without the use of automation tools. The tester acts as the end-user and validates whether the software behaves as expected. Despite the growth of automation testing, manual testing remains essential because it helps in identifying usability issues, visual inconsistencies, and unexpected behavior that automation tools may miss.
In this article, we’ll cover the basics of manual testing, different types of manual testing, and examples to understand how it works in real-life projects.
Basics of Manual Testing
Manual Testing focuses on ensuring that the application is functioning correctly based on the given requirements. Here are the core fundamentals:
1. No Automation Tools Used
Testers execute test cases manually, step by step.
Tools like JIRA, Bugzilla, and Trello are used for tracking defects, but execution is done without code/scripts.
2. End-User Perspective
The tester plays the role of the actual user.
Validates both functionality and user experience.
3. Test Documentation
Includes Test Plan, Test Cases, Test Scenarios, and Bug Reports.
Example of a simple test case format:
4. Validation and Verification
Verification: Making sure the product is constructed appropriately (in accordance with specifications).
Validation: Making sure the appropriate product is created for the final consumer.
Manual Testing Types
Depending on the requirements of the project, manual testing uses a variety of testing techniques. The most typical kinds are listed below:
1. Unit Testing
Performed individual components or modules.
Developers usually do it, but manual testers may validate test data.
2. Integration Testing
ensures to work together two or more units.
Example: Testing that the user dashboard and login page work together.
3. System Testing
validates the application as a whole.
An e-commerce app’s overall testing, from login to checkout, is an example.
4. Smoke Testing
Build Verification Testing be another word on it.
A quick check to make sure the fundamental features are operational.
For example, checking if an app installs correctly and opens without crashing.
5. Sanity Testing
narrow and targeted testing after small changes.
Example: The tester only rechecks login after resolving a login bug.
6. Regression Testing
ensures that new changes do not cause problems with existing features.
Example: The tester rechecks the dashboard and login after adding an “Forgot Password” feature.
7. Usability Testing
emphasizes experience and user-friendliness.
Example: Verifying that the “Sign Up” button is accessible and visible.
8. Acceptance Testing
This is done to confirm that the application satisfies business needs.
often carried out during the User Acceptance Testing (UAT) stage.
9. Exploratory Testing
No predefined test cases; the tester explores the app.
Helps in finding unexpected defects.
10. Ad-hoc Testing
informal testing that is not recorded.
Example: Randomly trying invalid inputs to check system stability.
Instances of Manual Testing in Actual Projects
Example 1: Testing a Login Page
Scenario: A banking application login page.
Test Cases:
Enter correct username & password → Should login successfully.
Enter wrong password → Should show error message.
Leave fields empty → Should not allow login.
Check “Forgot Password” link → Should redirect properly.
Example 2: E-Commerce Checkout Flow
Scenario: Online shopping cart.
Test Cases:
Add items to cart → Items should be reflected in cart.
Apply discount coupon → Correct discount applied.
Enter invalid credit card → Show payment error.
Successful payment → Generate order confirmation email.
Example 3: Social media mobile app testing scenario.
Test Cases:
App installation on Android & iOS.
Navigation in portrait & landscape mode.
Upload image/video functionality.
push alerts and notifications.
Why Companies Ask SQL Interview Questions for Manual Testing
Companies ask manual testing and SQL interview questions because real projects involve both frontend and backend validation.
Modern QA roles require testers to verify not only what users see on the UI, but also whether the correct data is stored and processed in the database.
Real Workplace Angle
In real projects, testers often face situations where frontend and backend behavior do not match.
Common Real-Time Scenarios
- UI may show correct data, but the database may contain incorrect values
- Payment may succeed, but order data may not be stored
- User profile updates may not reflect in the database
These issues are common in real applications and require both manual testing and SQL validation skills.
Why SQL Knowledge Is Important for QA Engineers
SQL helps testers:
- Verify backend data
- Validate database updates
- Investigate missing or incorrect records
- Debug production issues
- Confirm transaction accuracy
Without SQL knowledge, testers may struggle to identify backend-related defects.
What Interviewers Expect from QA Engineers
Interviewers want QA engineers who can:
- Test UI using manual testing
- Validate backend data using SQL
- Find root causes faster
- Communicate clearly with developers
These skills help improve defect analysis and project quality.
Top Manual Testing Questions (Quick Context Before SQL)
Before moving into SQL, interviewers usually check your manual testing fundamentals.
1. What is Software Testing?
performed to check if the system satisfies its specified requirements and quality standards. It evaluates the system to validate its functionality.
Testing measures the system’s overall quality in terms of correctness, completeness, usability, performance, and other functional and non-functional attributes.
Software testing is not associated with uncovering potential bugs or defects. It also involves finding measures to improve the system’s efficiency and accuracy.
Basically, software testing is a combination of verification and validation.
2. What is Manual Testing?
Manual Testing is the most fundamental approach in the Software Testing Life Cycle (STLC). It is the process of manually testing software applications without the use of automation tools. The tester acts as the end-user and validates whether the software behaves as expected. Despite the growth of automation testing, manual testing remains essential because it helps in identifying usability issues, visual inconsistencies, and unexpected behavior that automation tools may miss.
In this article, we’ll cover the basics of manual testing, different types of manual testing, and examples to understand how it works in real-life projects.
Basics of Manual Testing
Manual Testing focuses on ensuring that the application is functioning correctly based on the given requirements. Here are the core fundamentals:
1. No Automation Tools Used
Testers execute test cases manually, step by step.
Tools like JIRA, Bugzilla, and Trello are used for tracking defects, but execution is done without code/scripts.
2. End-User Perspective
The tester plays the role of the actual user.
Validates both functionality and user experience.
3. Test Documentation
Includes Test Plan, Test Cases, Test Scenarios, and Bug Reports.
Example of a simple test case format:
4. Validation and Verification
Verification: Making sure the product is constructed appropriately (in accordance with specifications).
Validation: Making sure the appropriate product is created for the final consumer.
Manual Testing Types
Depending on the requirements of the project, manual testing uses a variety of testing techniques. The most typical kinds are listed below:
1. Unit Testing
Performed individual components or modules.
Developers usually do it, but manual testers may validate test data.
2. Integration Testing
ensures to work together two or more units.
Example: Testing that the user dashboard and login page work together.
3. System Testing
validates the application as a whole.
An e-commerce app’s overall testing, from login to checkout, is an example.
4. Smoke Testing
Build Verification Testing be another word on it.
A quick check to make sure the fundamental features are operational.
For example, checking if an app installs correctly and opens without crashing.
5. Sanity Testing
narrow and targeted testing after small changes.
Example: The tester only rechecks login after resolving a login bug.
6. Regression Testing
ensures that new changes do not cause problems with existing features.
Example: The tester rechecks the dashboard and login after adding an “Forgot Password” feature.
7. Usability Testing
emphasizes experience and user-friendliness.
Example: Verifying that the “Sign Up” button is accessible and visible.
8. Acceptance Testing
This is done to confirm that the application satisfies business needs.
often carried out during the User Acceptance Testing (UAT) stage.
9. Exploratory Testing
No predefined test cases; the tester explores the app.
Helps in finding unexpected defects.
10. Ad-hoc Testing
informal testing that is not recorded.
Example: Randomly trying invalid inputs to check system stability.
Instances of Manual Testing in Actual Projects
3. What is a Test Case?
A test case is a set of actions performed on a system to determine if it satisfies software requirements and functions correctly. The purpose of a test case is to determine if different features within a system are performing as expected and to confirm that the system satisfies all related standards, guidelines, and customer requirements. The process of writing a test case can also help reveal errors or defects within the system.
Test cases are typically written by members of the quality assurance (QA) team or the testing team and used step-by-step instructions for each system test. The testing process begins once the development team has finished a system feature or set of features. A sequence or collection of test cases is called a test suite.
4. What is STLC?
- The Software Testing Life Cycle (STLC) is a structured framework that guides testing from initial requirements through final validation and retrospective. Instead of treating testing as an afterthought, STLC makes it a disciplined, repeatable process that catches issues before they reach users. Its core phases stay consistent across Scrum, Kanban, and Waterfall, making it adaptable to virtually any team.
- For modern teams building AI-driven systems, execution depends on having the right people in place. Platforms like Fonzi AI help companies quickly hire experienced engineers and QA specialists who can implement automated, STLC-aligned workflows, so recruiters and technical leaders can build reliable systems without sacrificing speed.
5. What is a Defect?
A bug in software testing refers to an error in the code that causes the software to behave differently than expected. It occurs when the actual result of a function does not match the expected result during any stage of development.
In simpler terms, a bug is an issue that prevents a software system from working correctly. These errors can be found at any phase, from coding to integration testing, and they can lead to major issues if not detected early.
These basics help you explain SQL-related answers more confidently in interviews.
SQL Interview Questions for Manual Testing (With Simple Answers)
Below are the most frequently asked SQL interview questions for manual testing, explained in simple and beginner-friendly language.
1. What is SQL?
Structured query language (SQL) is a programming language for storing and processing information in a relational database. A relational database stores information in tabular form, with rows and columns representing different data attributes and the various relationships between the data values. You can use SQL statements to store, update, remove, search, and retrieve information from the database. You can also use SQL to maintain and optimize database performance.
2. Why do manual testers need SQL knowledge?
Verify Data Integrity: You need to make sure that user input data is correctly stored in the database when testing software. You may check this with SQL.
Get Data for Testing: Sometimes, specific data is needed for testing. You use SQL to fetch it yourself instead of waiting for a developer.
Validate Business Logic: The database has implemented many business rules, like tax calculations or discounts. SQL can be used to validate if these rules are working as planned.
Create Reports: To analyze test results or spot trends, SQL lets you generate detailed reports.
Understand Backend Systems: Knowing SQL helps you to understand how the backend works, making you a better tester.
3. What is a Database?
A database is an organized collection of information that can be stored, searched, updated, and managed efficiently. Instead of keeping data scattered across documents or spreadsheets, a database keeps related information in one structured system, so people and software can retrieve it quickly.
4. What is a Table?
A table is a collection of related data organized in a structured format. It consists of rows and columns and is defined as a unique name.
5. What is a Primary Key?
Once you identify a column that has a different value for each row in the table, you can create a primary key using this column. You can view the primary key as the “main identifier” for every row in the table based on a certain column.
6. What is a Foreign Key?
A foreign key in SQL is a column (or group of columns) in a table that is a reference to the primary key in another table. It establishes a relationship between two tables. The table that has this key is called the child table, and the table that has the primary key is called the parent table.
7. What is a SELECT statement?
The SQL SELECT statement is used to retrieve records from one or more tables in your SQL database. The records retrieved are known as a result set.
EX: SELECT * FROM users;
8. What is a WHERE clause?
The SQL WHERE clause is used to filter records based on specific conditions. It ensures that only the rows meeting the given criteria are affected or returned by a SELECT, UPDATE, or DELETE statement.
Without the WHERE clause, these statements would apply to all rows in the table. The clause is commonly used with comparison operators, logical operators, and other expressions to precisely target specific data.
SELECT * FROM users WHERE status=’Active’;
9. What is INSERT statement?
In SQL, the INSERT statement allows you to insert one or more rows into a table.
Here’s the syntax of the INSERT statement:
INSERT INTO table_name(column1, column2, column3)
VALUES(value1, value2, value3);
10. What is UPDATE statement?
The UPDATE statement in SQL is used to modify existing records in a table. You can update one or more columns for one or more rows based on a condition (using the WHERE clause).
Following is the basic syntax of the SQL UPDATE statement:
UPDATE table_name
SET column1 = value1, column2 = value2, …
WHERE condition;
11. What is DELETE statement?
Use the DELETE statement to delete records from the existing table in the current schema or tables of the schema on which you have the DELETE privilege.
Syntax:
DELETE FROM table_name [WHERE Condition];
12. What is TRUNCATE?
The SQL TRUNCATE TABLE command is used to remove all records from a table without deleting the table itself (i.e. empty a table). The table remains in the database, and you can insert new data into it later.
Syntax
The basic syntax of a TRUNCATE TABLE command in SQL is as follows:
TRUNCATE TABLE table_name;
13. Difference Between DELETE and TRUNCATE
| Feature | TRUNCATE Statement | DELETE Statement |
| Type of Statement | DDL (Data Definition Language) | DML (Data Manipulation Language) |
| Locking Mechanism | Places a table and page lock to remove all records from the table | Places a lock on each row to be deleted from the table |
| Logging in Transaction Log | Does not log entries for each deleted row in the transaction log | Logs entry for each deleted row in the transaction log |
| Speed | Faster than the DELETE statement | Slower than the TRUNCATE statement |
| Row Removal | Removes all rows in a table by deallocating the associated data pages | Removes rows one at a time |
| Identity Reset | Resets the identity to its seed value | Retains the identity and does not reset it to the seed value |
| Transaction Log Space Usage | Requires less transaction log space than the DELETE statement | requires more transaction log space than the TRUNCATE statement |
| Permissions Required | Requires ALTER TABLE permissions to truncate a table | Requires DELETE permission on a table to use |
| Indexed Views | Cannot be used with indexed views | Can be used with indexed views |
| Trigger Activation | Does not activate a trigger | Can activate a trigger if any row modification occurs |
| Object Statistics and Allocated Space | Deallocates all data pages of a table, removing all statistics and allocated space | Retains the object statistics and allocated space |
| Removal Scope | Only removes all rows of a table, retains columns, indexes, constraints, and schema | Removes rows matched with the WHERE clause, retains columns, indexes, constraints, schema |
14. What is NULL?
NULL isn’t a value but rather the absence of a value. That doesn’t always make sense to a newcomer.
15. What is JOIN?
It combines rows from two or more tables based on a related column (usually an ID that appears in both tables).
16. Types of JOINs
- INNER JOIN
- LEFT JOIN
- RIGHT JOIN
- FULL JOIN
17. Difference Between WHERE and HAVING
| Comparison | WHERE | HAVING |
| Main purpose | Row-level filtering | Group-level filtering |
| Basic syntax | SELECT column1, column2… FROM table_name WHERE condition; | SELECT grouped_column, aggregate_function(aggregated_column)… FROM table_name GROUP BY grouped_column HAVING condition; |
| Evaluation order | Before GROUP BY | After GROUP BY |
| Compatible statements | SELECT, UPDATE, DELETE | SELECT |
| Conditions | Cannot include aggregate functions | Must include aggregate functions |
| Use cases | Row-level filtering Data retrieval Data manipulation | Group-level filtering Single-row filtering |
| Subqueries | Can work with subqueries | Must be written as CTEs |
18. What is GROUP BY?
The GROUP BY Clause is among the most used statements in SQL, as it allows the user to group rows that have the same values in the specified columns. It’s often used in conjunction with functions like COUNT, SUM, AVG, MIN, MAX, WHERE, ORDER BY, HAVING, etc., to perform calculations on grouped data.
19. What is ORDER BY?
The ORDER BY clause can be used in the SELECT query to sort the result in ascending or descending order of one or more columns.
20. What is COUNT()?
The SQL COUNT() function returns the number of rows that match a specified condition. It is commonly used to determine the number of entries in a table, count distinct values, or count rows after filtering data. It sets the number of rows or non NULL column values. COUNT() returns 0 if there were no matching rows.
Real-Time SQL Interview Questions for Manual Testing
These real-time manual testing questions combine UI testing + SQL validation, which interviewers love.
21. How Do You Validate Data Displayed on UI Using SQL?
Steps
- Perform action on UI
- Write a SELECT query
- Compare UI data with database data
Example SQL Query
SELECT *
FROM users
WHERE user_id = 101;
22. User Registered Successfully but Record Not Found in DB
What Will You Check?
- Check users table
- Validate INSERT query
- Report defect
Example SQL Query
SELECT *
FROM users
WHERE email = ‘user@example.com‘;
23. Payment Successful but Order Not Created
What Will You Check?
- Check orders table
- Check payment table
- Verify transaction status
Example SQL Query
SELECT *
FROM orders
WHERE payment_id = 5001;
24. Profile Updated on UI but DB Not Updated
What Will You Check?
- Check UPDATE query
- Validate backend service
Example SQL Query
SELECT *
FROM users
WHERE user_id = 101;
25. Duplicate Records Created
What Will You Check?
- Check unique constraints
- Validate form submission logic
Example SQL Query
SELECT email, COUNT(*)
FROM users
GROUP BY email
HAVING COUNT(*) > 1;
26. Report Values Not Matching UI
What Will You Check?
- Validate report query
- Check source tables
Example SQL Query
SELECT COUNT(*)
FROM orders
WHERE status = ‘COMPLETED’;
27. User Deleted from UI but Still Exists in DB
What Will You Check?
- Check DELETE query
- Validate soft delete logic
Example SQL Query
SELECT *
FROM users
WHERE user_id = 101;
28. Cart Items Missing After Refresh
What Will You Check?
- Check cart table
- Verify session mapping
Example SQL Query
SELECT *
FROM cart_items
WHERE session_id = ‘ABC123’;
29. App Slow During Peak Hours
What Will You Check?
- Identify heavy SQL queries
- Report performance concern
Example Checks
- Long-running queries
- Missing indexes
- Large table scans
30. Data Mismatch Between Environments
What Will You Check?
- Compare database data across environments
Example
- Compare QA database with Production database
- Validate configuration differences
- Verify migration scripts
Scenario-Based SQL Interview Questions for Manual Testing (15 Examples)
Scenario-based questions are critical in SQL interview questions for manual testing.
1. Login Works but User Role is Incorrect
Check
- User role table
- Role mapping data
- Backend authorization logic
2. Order Placed but Invoice Not Generated
Check
- Invoice table
- Order status
- Invoice generation service
3. Email Sent but User Status Unchanged
Check
- Notification logs
- User status column
- Backend update process
4. Dashboard Shows Wrong Count
Check
- COUNT query logic
- Filters used in reports
- Aggregation conditions
Example SQL Query
SELECT COUNT(*)
FROM users
WHERE status = ‘ACTIVE’;
5. Multiple Users with Same Email
Check
- Unique constraints
- Duplicate insertion handling
- Validation logic
6. Tax Calculated Incorrectly
Check
- Tax rules table
- Tax percentage configuration
- Calculation logic
7. Audit Logs Missing
Check
- Audit table
- Logging service
- Trigger execution
8. User Logged Out Automatically
Check
- Session table
- Session timeout configuration
- Authentication logs
9. Partial Data Saved
Check
- Transaction rollback
- Database commit status
- Exception logs
10. Data Lost After App Upgrade
Check
- Migration scripts
- Database backup
- Deployment changes
11–15. More SQL Scenarios
Common Scenarios
- Incorrect permissions
- Broken table relationships
- Data duplication
- Missing foreign keys
- Invalid default values
Real Company Interview Round Format + Preparation Tips
Typical Interview Rounds
HR Round
- Introduction
- Communication skills
- Career goals
Manual Testing Basics
- SDLC and STLC
- Test cases
- Bug life cycle
SQL Interview Questions for Manual Testing
- SQL basics
- Joins
- CRUD operations
- Scenario-based validation
Scenario-Based Discussion
- Real-time defect handling
- UI and database validation
- Root cause analysis
Project Walkthrough
- Explain project modules
- Testing responsibilities
- Challenges faced
Preparation Tips
1. Practice SQL Queries Daily
Focus on:
- SELECT
- INSERT
- UPDATE
- DELETE
- JOINs
- GROUP BY
2. Understand UI to Database Flow
Learn how:
- UI actions store data
- APIs communicate with DB
- Backend services process requests
3. Explain Answers Step-by-Step
Interviewers prefer structured answers with:
- Scenario explanation
- SQL validation
- Defect reporting approach
How to Answer SQL Interview Questions for Manual Testing Like a Pro
Best Answer Framework
Step 1: Explain UI Behavior
Describe what happens in the application.
Step 2: Explain Database Validation
Mention which table or data should be validated.
Step 3: Mention SQL Query Usage
Explain the query used for verification.
Step 4: Explain Defect Handling
Describe how you report the issue with evidence.
Example Answer
“If an order is missing, I first verify the UI confirmation message. Then I check the orders table using SQL queries to validate whether the order record exists. If data is missing, I collect screenshots, query results, and logs before reporting the defect.”
Common Mistakes Candidates Make
1. Ignoring SQL Preparation
Many candidates focus only on manual testing concepts.
2. Memorizing Queries Without Understanding
Interviewers expect practical understanding, not just syntax memorization.
3. Not Explaining Real-Time Scenarios
Real project examples improve interview performance.
4. Poor Communication
Clear explanation is very important during QA interviews.
Final Revision Sheet – Quick Preparation
Must-Revise Topics
- Manual testing basics
- SQL CRUD operations
- JOINs
- WHERE and GROUP BY
- Scenario-based questions
One Day Before Interview
Final Preparation Checklist
- Practice SQL queries
- Revise real-time scenarios
- Review common interview questions
- Stay calm and confident
FAQs – SQL Interview Questions for Manual Testing
Q1. Is SQL mandatory for manual testers?
SQL is not mandatory for every QA role, but it is highly important and strongly recommended for most modern QA positions.
Many companies expect QA testers to have at least basic SQL knowledge for backend validation and real-time troubleshooting.
Why SQL Is Important in QA
SQL helps testers:
- Validate backend data
- Verify database updates
- Investigate production issues
- Compare UI and database values
- Support defect analysis
This improves testing accuracy and debugging capability.
Q2. How much SQL is enough for manual testing?
For most QA and manual testing roles, testers do not need advanced database development knowledge. However, they should have enough SQL knowledge to perform backend validation and basic troubleshooting.
Minimum SQL Knowledge Recommended for Testers
Basic SQL Topics Every Tester Should Know
Testers should understand:
- SELECT statements
- WHERE clause
- ORDER BY
- GROUP BY
- COUNT and aggregate functions
- INSERT, UPDATE, DELETE basics
- JOIN operations
These topics are commonly used in QA projects and interviews.
Q3. Are SQL questions asked for freshers?
Yes, many companies ask basic SQL questions even for fresher QA and manual testing roles.
The difficulty level is usually simple, and interviewers mainly check whether candidates understand basic database concepts and backend validation.
Why Companies Ask SQL Questions to Freshers
Companies ask SQL questions because testers often need to:
- Validate backend data
- Verify database updates
- Compare UI and database values
- Support defect investigation
Even basic SQL knowledge helps testers work more effectively in real projects.
Q4. Do I need advanced SQL?
No, most QA and manual testing roles do not require advanced SQL knowledge.
For many testing interviews and real-time projects, basic to intermediate SQL knowledge is usually enough.
Q5. How to prepare SQL in one week?
Preparing in one week is possible if you focus on the right topics and practice consistently every day.
The goal should be to build confidence in:
- Manual testing fundamentals
- Scenario-based questions
- Real-time interview questions
- Basic SQL concepts
- Communication and project explanation
7-Day QA Interview Preparation Plan
Day 1 – Manual Testing Basics
Revise Important Topics
- What is manual testing?
- STLC and SDLC
- Defect lifecycle
- Severity vs priority
- Smoke, sanity, and regression testing
- Test cases and bug reports
Practice
- Explain concepts in simple language
- Practice answering aloud
Day 2 – Scenario-Based Questions
Practice Common Scenarios
- Login button not working
- Application crash after submit
- Data not saved
- Payment successful but order missing
- Browser compatibility issue
Focus On
- Step-by-step troubleshooting
- Logical thinking
- Clear explanation
Day 3 – Real-Time Manual Testing Questions
Prepare Real-Time Topics
- Requirement changes
- Production issues
- UAT support
- Release testing
- Defect prioritization
Practice
Use practical examples while answering questions.
Day 4 – SQL Basics for QA
Revise SQL Topics
- SELECT queries
- WHERE clause
- ORDER BY
- COUNT function
- JOIN basics
- INSERT, UPDATE, DELETE basics
Practice Real-Time Validation
- Verify user registration data
- Validate order records
- Compare UI and database values
Day 5 – Project Explanation + Communication
Prepare Project Questions
Practice answering:
- Explain your project
- What was your role?
- What challenges did you face?
- How did you test the application?
Important Focus
- Speak clearly
- Use simple explanations
- Explain real examples
Day 6 – Mock Interview Practice
Practice Complete Interview Flow
- HR questions
- Manual testing basics
- Scenario-based questions
- SQL questions
- Project discussion
Goal
Improve:
- Confidence
- Communication
- Answer structure
Day 7 – Final Revision
Revise Only Important Topics
- Manual testing basics
- Scenario-based questions
- SQL basics
- Real-time examples
- Project explanation
Avoid
- Learning completely new topics
- Over-studying before interview
Stay calm and confident.