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Home Articles

24 Genpact SQL Interview Questions

by Sabira Ulfath
July 23, 2025
in Articles, Data Science and Machine Learning
Genpact SQL Interview Questions
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Table of Contents

  • Introduction
  • Why Join the Genpact?
  • Genpact SQL interview Preparation Tips
  • Top Genpact SQL Interview Questions and Answers

SQL is becoming a very popular language to master because practically every programmer uses it to develop the storage functions of their application. By learning SQL, the developer gains a deeper grasp of the program and an extra degree of control over the data structures used to store the organization’s data. In this article we will cover top Genpact SQL interview questions. In addition to the responses from the SQL developers at Genpact and the confidence you need to ace your upcoming Genpact SQL interview.

Enhance your data science skills with us! Join our free demo today!

Introduction

Genpact is a global provider of the professional services with an emphasis on business process outsourcing, analytics, consulting, and the digital transformation. With the operations spread throughout more than 25 countries, the company’s headquarters are located in the New York City. It serves customers in a variety of industries, including the banking, financial services, insurance, the healthcare, life sciences, manufacturing, the high-tech consumer products, retail, and more.

The language used by the databases is SQL. Its extensive range and strong functionality allow it to load database objects using the commands like INSERT as well as create, modify, and drop a wide range of database objects. Numerous such instructions give the programmer a great deal of control over how they interface with the database, enabling them to do so effectively and efficiently with the minimal resource waste.

Why Join the Genpact?

1. The Global Leader in the Professional Services

  • The Genpact is a well-established leader in the digital transformation and the business process services. Being part of a globally recognized organization can enhance your professional status. And also open the doors to your future opportunities.

2. Diverse the Career Opportunities

  • With a presence in the multiple industries, Genpact will offers diverse career paths in the areas like data analytics, IT, the consulting. This allows you to explore the different domains and find a role that suits your skills and interests.
  • Genpact will highlight the professional development, offering the certifications, and the learning platforms to help you grow in your career.

3. Innovative and Technology-Driven Environment

  • Genpact influences the latest technologies, like the AI, machine learning, and the automation, to drive the business transformation. Working here gives you the opportunity to be at the lead of the technological innovation.

4. Employee Culture

  • The Genpact places importance on maintaining a healthy work-life balance with the flexible work arrangements and employee the support initiatives.
  • The company promotes a culture of diversity and the insertion, encouraging the collaboration across the teams.

5. The Global Exposure

  • Genpact will provides the opportunities to work in a multicultural environment, gain the global exposure, and pursue the international assignments.
  • Working with the clients across the different regions will enhances your cross-functional skills and the understanding of the global markets.

6. Commitment to the Social Responsibility

  • The Genpact is committed to giving back to the community through the various CSR initiatives. And then focused on the education, environmental sustainability, and the social welfare.
  • The company upholds the strong ethical standards, promoting the integrity and the responsibility in all its business practices.

7. The Competitive Compensation and Benefits

  • Genpact will offers the competitive salaries, performance-based bonuses, and comprehensive benefits. In addition to the health insurance, retirement plans, and the employee discounts.
  • The company will recognizes and then rewards the high-performing employees through the various awards, motivating you to excel in your role.

Genpact SQL interview Preparation Tips

To excel in a Genpact SQL interview, it is important to be well-prepared, not only with the technical knowledge but also with the practical problem-solving skills. Here are some tips to help you get ready in the Genpact interview:

1. Understand the SQL Basics Thoroughly
  • Firstly you should ensure that you are comfortable with the basic SQL commands. Such as the SELECT, INSERT, UPDATE, DELETE, JOIN, GROUP BY, ORDER BY, and the WHERE.
  • You should know the different data types in the SQL and how to use them very effectively.
2. Practice with the Writing Complex Queries
  • You should be proficient in the different types of joins (INNER, LEFT, RIGHT, FULL) and then should know when to use each.
  • Also you should understand how to write and optimize the Subqueries and the Nested Queries.
  • Also you should familiarize yourself with the window functions like ROW_NUMBER(), RANK(), DENSE_RANK(), and the PARTITION BY.
3. Focus on the Data Manipulation and the Aggregation
  • Be comfortable with the Aggregate Functions using the SUM(), COUNT(), AVG(), MAX(), MIN(), and how to combine these with the GROUP BY.
  • Should practice the transforming data with the functions like CASE, COALESCE, CAST, and CONVERT.
  • You should familiar with the string functions (CONCAT, SUBSTRING, REPLACE). And the date functions (DATEADD, DATEDIFF, FORMAT).
4. Optimize the SQL Queries
  • You should understand that how the indexes work and how they can be used to optimize the query performance.
  • Should learn the techniques to improve the query efficiency, such as minimizing the use of the DISTINCT . Also avoiding the unnecessary columns in the SELECT, and using the EXPLAIN to analyze the query plans.
5. Real-World Problem Solving
  • You should practice in solving the real-world business problems using the SQL. This will help you to understand how to apply the SQL knowledge to extract the  meaningful insights from the data.
  • Should understand the principles of the data normalization and learnn how to ensure the data integrity within the databases.
6. Understand the Business Context
  • Try to understand the type of data that Genpact deals with in your domain of the interest. This can help you expect the kind of problems you may need to solve.
  • Be aware of the key performance indicators (KPIs) and the metrics that are important in the data analysis and how the SQL can be used to calculate and report them.
7. Prepare for Behavioral Questions
  • Be ready to discuss your approach to solving the SQL problems, including how you handle challenges or optimize the queries.
  • You might be asked about your experience working with the teams, particularly in the data-related projects.
8. Mock Interviews
  • Conduct the mock interviews with your friends or colleagues who can provide the feedback on your performance.
  • Use platforms like the LeetCode, HackerRank, or SQLZoo to practice the SQL problems and get familiar to the timed assessments.
9. Brush Up on Tools
  • Practice on the popular SQL environments or the databases like MySQL, SQL Server, PostgreSQL, or Oracle.
  • While the focus will be on the SQL, knowing how the SQL integrates with the tools like Tableau or the Power BI could be advantageous.
10. Stay Updated
  • Keep up with any new SQL features or the updates in the databases you are familiar with. As the interviewers might appreciate your knowledge of the latest trends.

Which step are you stuck on?

📌 Learning SQL
📄 Building your resume
🧰 Creating SQL projects/portfolio
💼 Job hunt

Top Genpact SQL Interview Questions and Answers

1. What is Pattern Matching in SQL?
Answer: SQL pattern matching provides for pattern search in data if you have no clue as to what that word should be. This kind of SQL query uses wildcards to match a string pattern, rather than writing the exact word. The LIKE operator is used in conjunction with SQL Wildcards to fetch the required information.

2. How to create empty tables with the same structure as another table?
Answer: Creating empty tables with the same structure can be done smartly by fetching the records of one table into a new table using the INTO operator while fixing a WHERE clause to be false for all records. Hence, SQL prepares the new table with a duplicate structure to accept the fetched records but since no records get fetched due to the WHERE clause in action, nothing is inserted into the new table.

SELECT * INTO Students_copy
FROM Students WHERE 1 = 2;
3. What is a Recursive Stored Procedure?
Answer: A stored procedure that calls itself until a boundary condition is reached, is called a recursive stored procedure. This recursive function helps the programmers to deploy the same set of code several times as and when required. Some SQL programming languages limit the recursion depth to prevent an infinite loop of procedure calls from causing a stack overflow, which slows down the system and may lead to system crashes.

4. What is Collation? What are the different types of Collation Sensitivity?
Answer: Collation refers to a set of rules that determine how data is sorted and compared. Rules defining the correct character sequence are used to sort the character data. It incorporates options for specifying case sensitivity, accent marks, kana character types, and character width. Below are the different types of collation sensitivity:

  • Case sensitivity: A and a are treated differently.
  • Accent sensitivity: a and á are treated differently.
  • Kana sensitivity: Japanese kana characters Hiragana and Katakana are treated differently.
  • Width sensitivity: Same character represented in single-byte (half-width) and double-byte (full-width) are treated differently.
5. What are the differences between OLTP and OLAP?
Answer: OLTP stands for Online Transaction Processing, is a class of software applications capable of supporting transaction-oriented programs. An important attribute of an OLTP system is its ability to maintain concurrency. OLTP systems often follow a decentralized architecture to avoid single points of failure. These systems are generally designed for a large audience of end-users who conduct short transactions. Queries involved in such databases are generally simple, need fast response times, and return relatively few records. A number of transactions per second acts as an effective measure for such systems.OLAP stands for Online Analytical Processing, a class of software programs that are characterized by the relatively low frequency of online transactions. Queries are often too complex and involve a bunch of aggregations. For OLAP systems, the effectiveness measure relies highly on response time. Such systems are widely used for data mining or maintaining aggregated, historical data, usually in multi-dimensional schemas.

6. What is User-defined function? What are its various types?
Answer: The user-defined functions in SQL are like functions in any other programming language that accept parameters, perform complex calculations, and return a value. They are written to use the logic repetitively whenever required. There are two types of SQL user-defined functions:

  • Scalar Function: As explained earlier, user-defined scalar functions return a single scalar value.
  • Table-Valued Functions: User-defined table-valued functions return a table as output.
    • Inline: returns a table data type based on a single SELECT statement.
    • Multi-statement: returns a tabular result-set but, unlike inline, multiple SELECT statements can be used inside the function body.
7. What is a UNIQUE constraint?
Answer: A UNIQUE constraint ensures that all values in a column are different. This provides uniqueness for the column(s) and helps identify each row uniquely. Unlike primary key, there can be multiple unique constraints defined per table. The code syntax for UNIQUE is quite similar to that of PRIMARY KEY and can be used interchangeably.

CREATE TABLE Students (   /* Create table with a single field as unique */
   ID INT NOT NULL UNIQUE
   Name VARCHAR(255)
);

CREATE TABLE Students (   /* Create table with multiple fields as unique */
   ID INT NOT NULL
   LastName VARCHAR(255)
   FirstName VARCHAR(255) NOT NULL
   CONSTRAINT PK_Student
   UNIQUE (ID, FirstName)
);

ALTER TABLE Students   /* Set a column as unique */
ADD UNIQUE (ID);
ALTER TABLE Students   /* Set multiple columns as unique */
ADD CONSTRAINT PK_Student   /* Naming a unique constraint */
UNIQUE (ID, FirstName);
8. What is a Query?
Answer: A query is a request for data or information from a database table or combination of tables. A database query can be either a select query or an action query.

SELECT fname, lname    /* select query */
FROM myDb.students
WHERE student_id = 1;
UPDATE myDB.students    /* action query */
SET fname = 'Captain', lname = 'America'
WHERE student_id = 1;
9. What is Data Integrity?
Answer: Data Integrity is the assurance of accuracy and consistency of data over its entire life-cycle and is a critical aspect of the design, implementation, and usage of any system which stores, processes, or retrieves data. It also defines integrity constraints to enforce business rules on the data when it is entered into an application or a database.
10. What is the difference between Clustered and Non-clustered index?
Answer: As explained above, the differences can be broken down into three small factors –

  • Clustered index modifies the way records are stored in a database based on the indexed column. A non-clustered index creates a separate entity within the table which references the original table.
  • Clustered index is used for easy and speedy retrieval of data from the database, whereas, fetching records from the non-clustered index is relatively slower.
  • In SQL, a table can have a single clustered index whereas it can have multiple non-clustered indexes.

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11. What are Constraints in SQL?
Answer: Constraints are used to specify the rules concerning data in the table. It can be applied for single or multiple fields in an SQL table during the creation of the table or after creating using the ALTER TABLE command. The constraints are:

  • NOT NULL – Restricts NULL value from being inserted into a column.
  • CHECK – Verifies that all values in a field satisfy a condition.
  • DEFAULT – Automatically assigns a default value if no value has been specified for the field.
  • UNIQUE – Ensures unique values to be inserted into the field.
  • INDEX – Indexes a field providing faster retrieval of records.
  • PRIMARY KEY – Uniquely identifies each record in a table.
  • FOREIGN KEY – Ensures referential integrity for a record in another table.
12. What are Tables and Fields?
Answer: A table is an organized collection of data stored in the form of rows and columns. Columns can be categorized as vertical and rows as horizontal. The columns in a table are called fields while the rows can be referred to as records.
13. What is the difference between SQL and MySQL?
Answer: SQL is a standard language for retrieving and manipulating structured databases. On the contrary, MySQL is a relational database management system, like SQL Server, Oracle or IBM DB2, that is used to manage SQL databases.

14. What are some common clauses used with SELECT query in SQL?
Answer: Some common SQL clauses used in conjuction with a SELECT query are as follows:

  • WHERE clause in SQL is used to filter records that are necessary, based on specific conditions.
  • ORDER BY clause in SQL is used to sort the records based on some field(s) in ascending (ASC) or descending order (DESC).
SELECT *
FROM myDB.students
WHERE graduation_year = 2019
ORDER BY studentID DESC;
  • GROUP BY clause in SQL is used to group records with identical data and can be used in conjunction with some aggregation functions to produce summarized results from the database.
  • HAVING clause in SQL is used to filter records in combination with the GROUP BY clause. It is different from WHERE, since the WHERE clause cannot filter aggregated records.
15. List the different types of relationships in SQL.

Answer:

  • One-to-One – This can be defined as the relationship between two tables where each record in one table is associated with the maximum of one record in the other table.
  • One-to-Many & Many-to-One – This is the most commonly used relationship where a record in a table is associated with multiple records in the other table.
  • Many-to-Many – This is used in cases when multiple instances on both sides are needed for defining a relationship.
  • Self-Referencing Relationships – This is used when a table needs to define a relationship with itself.
16. What is an Alias in SQL?
Answer: An alias is a feature of SQL that is supported by most, if not all, RDBMSs. It is a temporary name assigned to the table or table column for the purpose of a particular SQL query. In addition, aliasing can be employed as an obfuscation technique to secure the real names of database fields. A table alias is also called a correlation name.

17. What is PostgreSQL?
Answer: PostgreSQL was first called Postgres and was developed by a team led by Computer Science Professor Michael Stonebraker in 1986. It was developed to help developers build enterprise-level applications by upholding data integrity by making systems fault-tolerant. PostgreSQL is therefore an enterprise-level, flexible, robust, open-source, and object-relational DBMS that supports flexible workloads along with handling concurrent users. It has been consistently supported by the global developer community. Due to its fault-tolerant nature, PostgreSQL has gained widespread popularity among developers.
18. What is the capacity of a table in PostgreSQL?
Answer: The maximum size of PostgreSQL is 32TB.

19. Define tokens in PostgreSQL?
Answer: A token in PostgreSQL is either a keyword, identifier, literal, constant, quotes identifier, or any symbol that has a distinctive personality. They may or may not be separated using a space, newline or a tab. If the tokens are keywords, they are usually commands with useful meanings. Tokens are known as building blocks of any PostgreSQL code.

20. What is SQL?
Answer: SQL stands for Structured Query Language. It is the standard language for relational database management systems. It is especially useful in handling organized data comprised of entities (variables) and relations between different entities of the data.
21. What is RDBMS? How is it different from DBMS?
Answer: RDBMS stands for Relational Database Management System. The key difference here, compared to DBMS, is that RDBMS stores data in the form of a collection of tables, and relations can be defined between the common fields of these tables. Most modern database management systems like MySQL, Microsoft SQL Server, Oracle, IBM DB2, and Amazon Redshift are based on RDBMS.

22. How do you define Indexes in PostgreSQL?
Answer: Indexes are the inbuilt functions in PostgreSQL which are used by the queries to perform search more efficiently on a table in the database. Consider that you have a table with thousands of records and you have the below query that only a few records can satisfy the condition, then it will take a lot of time to search and return those rows that abide by this condition as the engine has to perform the search operation on every single to check this condition.This is undoubtedly inefficient for a system dealing with huge data. Now if this system had an index on the column where we are applying search, it can use an efficient method for identifying matching rows by walking through only a few levels. This is called indexing.

Select * from some_table where table_col=120
23. Can you explain the architecture of PostgreSQL?

Answer:

  • The architecture of PostgreSQL follows the client-server model.
  • The server side comprises of background process manager, query processer, utilities and shared memory space which work together to build PostgreSQL’s instance that has access to the data. The client application does the task of connecting to this instance and requests data processing to the services. The client can either be GUI (Graphical User Interface) or a web application. The most commonly used client for PostgreSQL is pgAdmin.
23. Does PostgreSQL support full text search?

Answer: Full-Text Search is the method of searching single or collection of documents stored on a computer in a full-text based database. This is mostly supported in advanced database systems like SOLR or ElasticSearch. However, the feature is present but is pretty basic in PostgreSQL.

24. What are parallel queries in PostgreSQL?
Answer: Parallel Queries support is a feature provided in PostgreSQL for devising query plans capable of exploiting multiple CPU processors to execute the queries faster.

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