NTT Data Interview Preparation and Recruitment Process


About NTT Data?


NTT Data is a global IT services and consulting company, and a subsidiary of NTT Group, one of the world's largest telecommunications companies. Here’s an overview of NTT Data:

NTT Data Interview Questions

Key Information:


* Founded: 1988 (as a spin-off from NTT)

* Headquarters: Tokyo, Japan

* Parent Company: NTT Group (Nippon Telegraph and Telephone Corporation)

* Employees: Over 190,000 (as of recent reports)

* Revenue: ~$30 billion (FY 2023)

* Operations: Operates in more than 50 countries

Services & Solutions:


NTT Data provides a wide range of IT and business solutions, including:

* Digital Transformation (DX) – Cloud, AI, IoT, and automation

* Consulting – Business strategy, IT modernization, and process optimization

* Systems Integration – ERP, CRM, and custom software development

* Outsourcing – IT infrastructure, BPO (Business Process Outsourcing), and managed services

* Cybersecurity – Risk management, threat detection, and compliance

* Data & Analytics –
Big data, AI/ML, and business intelligence

Major Acquisitions & Expansion:


NTT Data has grown through strategic acquisitions, including:

* Dell Services (2016, rebranded as NTT DATA Services)

* Everis (Spain/Latin America, now part of NTT DATA EMEA)

* Postbank Systems (Germany)

*
Mphasis (partial stake, India)

Industries Served:

* Banking & Financial Services

* Healthcare & Life Sciences

* Public Sector & Government

* Manufacturing & Automotive

* Retail & Logistics

* Telecommunications

Global Presence:


NTT Data operates under different regional entities:

* NTT DATA Americas (North & South America)

* NTT DATA EMEA (Europe, Middle East, Africa)

* NTT DATA Asia Pacific (including India, China, Australia)

* NTT DATA Japan (Core market)

Recent Focus:


* Sustainability & Green IT – Helping clients reduce carbon footprints

* AI & Generative AI – Leveraging OpenAI, Azure AI, and proprietary solutions

* Hybrid Cloud & Edge Computing – Multi-cloud strategies



NTT Data Recruitment Process


The NTT Data recruitment process varies slightly by region and role (e.g., IT consulting, software development, BPO, etc.), but generally follows a structured approach. Below is an overview of the hiring process, eligibility, and tips to succeed.

NTT Data Recruitment Process (General)


The process typically involves 5-6 stages, taking 2-6 weeks depending on the role and location.

1. Application Submission

* Apply via NTT Data’s career portal or job boards (LinkedIn, Glassdoor, Indeed).

* Some roles may require referrals (especially in India/Japan).

2. Online Assessment (OA) – For Freshers & Grad Roles

* Aptitude Test (Quantitative, Logical, Verbal)

* Technical MCQs (Programming, Databases, Networking – for IT roles)

* Coding Test (For software roles – Python, Java, SQL, etc.)

* Psychometric Test (For consulting/BPO roles)

3. Technical Interview (For IT/Engineering Roles)

Topics:

* Programming (Python, Java, C++)

* Databases (SQL, NoSQL)

* Cloud (AWS/Azure basics)

* Problem-solving (DSA, algorithms)

Format:

* Live coding (HackerRank/CoderPad)

* System design (for experienced hires)

4. HR/Managerial Interview

Behavioral Questions:

* "Tell me about yourself."
* "Describe a challenging project."
* "Why NTT Data?"

Situational Questions:

* Conflict resolution, teamwork, leadership

5. Final HR Discussion (Offer Stage)

* Salary negotiation

* Background verification

Region-Specific Variations
Region Key Differences
India - Heavy focus on coding tests for freshers
- Group discussions (GD) sometimes included
USA/Canada - More case studies for consulting roles
- Leetcode-style coding rounds
Europe/UK - Strong emphasis on language skills (for some roles)
- More behavioral rounds
Japan - Japanese language proficiency often required
- Cultural-fit interviews

Eligibility Criteria
  • Freshers: Bachelor’s/Master’s in CS, IT, BCA, MCA, or related fields.

  • Experienced Hires: 2+ years in relevant domain (IT, consulting, cloud, etc.).

  • GPA/CGPA: Varies (usually ≥60% or 6.0+ CGPA).


NTT Data Hiring for Freshers vs Experienced
Aspect Freshers Experienced
Process Focus Coding + Aptitude System Design + Leadership
Interview Rounds 3-4 4-5
Salary Range (Approx.) 40K–70K (varies by region) 80K–150K+

NTT Data Interview Questions :

1 .
What is a pointer?
A pointer is a variable that stores the memory address of another variable. It allows for direct memory manipulation, which can improve performance in certain scenarios, like dynamic memory allocation and data structure implementation (e.g., linked lists). Pointers are fundamental in languages like C and C++ but are abstracted away or handled differently in languages like Java and Python. They enable passing variables by reference and can be used to access array elements efficiently. However, they also introduce complexities like the risk of null pointer exceptions and memory leaks if not managed carefully.
2 .
What is an Operating System?
An operating system (OS) is system software that manages computer hardware and software resources and provides common services for computer programs. It acts as an intermediary between the user and the computer hardware, handling tasks such as process management, memory management, file system management, device management, and security. Popular operating systems include Windows, macOS, Linux, Android, and iOS. The OS ensures efficient and fair allocation of resources to multiple applications and users, providing a stable and consistent computing environment.
3 .
What is Kernel?
The kernel is the core component of an operating system. It has complete control over the system's hardware and is responsible for managing the system's resources, most importantly the CPU, memory, and I/O devices. It acts as a bridge between applications and the hardware. Key functions of the kernel include process scheduling, memory management, inter-process communication, and system calls. The kernel is the first program loaded after the bootloader and remains in memory until the system is shut down.
4 .
Write a program to find the highest common factor (HCF) using C++.
#include <iostream>

int hcf(int a, int b) {
    while (b) {
        a %= b;
        std::swap(a, b);
    }
    return a;
}

int main() {
    int num1, num2;
    std::cout << "Enter two numbers: ";
    std::cin >> num1 >> num2;
    std::cout << "HCF of " << num1 << " and " << num2 << " is: " << hcf(num1, num2) << std::endl;
    return 0;
}​

This program defines a function hcf that uses the Euclidean algorithm to find the HCF of two integers. The main function takes two numbers as input and prints their HCF.
5 .
What are the features of Object-Oriented Programming (OOP)?

OOP is a programming paradigm based on the concept of "objects," which can contain data, in the form of fields (often known as attributes or properties), and code, in the form of procedures (often known as methods). Key features of OOP include:

  • Encapsulation: Bundling data and methods that operate on the data within a single unit (class), hiding the internal implementation details from the outside world.
  • Abstraction: Showing only essential information to the user and hiding complex implementation details. This is often achieved through abstract classes and interfaces.
  • Inheritance: The ability of a class (subclass or derived class) to inherit properties and methods from another class (superclass or base class), promoting code reusability.
  • Polymorphism: The ability of an object to take on many forms. This can be achieved through method overloading (compile-time polymorphism) and method overriding (run-time polymorphism).
6 .
What is the difference between method overloading and method overriding?
Method Overloading: Occurs within the same class where multiple methods have the same name but different parameters (different number, types, or order of parameters). The compiler decides which method to call based on the arguments passed during the method call (compile-time polymorphism).

Method Overriding: Occurs between a superclass and a subclass. A subclass provides a specific implementation for a method that is already defined in its superclass. The method signature (name and parameters) must be the same. The JVM decides which method to call at runtime based on the actual object type (run-time polymorphism).
7 .
What is a software metric?
A software metric is a quantitative measure used to assess various attributes of a software product or the software development process. Metrics provide insights into the size, complexity, quality, efficiency, and other characteristics of software. They help in making informed decisions, tracking progress, identifying areas for improvement, and ensuring the overall health of the software project. Examples include lines of code (LOC), cyclomatic complexity, defect density, and test coverage.
8 .
What do you mean by a process?
In the context of an operating system, a process is an instance of a computer program that is being executed. It is a dynamic entity that consists of the program code, its current activity (program counter, processor registers), and associated resources such as memory, open files, and I/O devices. The OS manages multiple processes concurrently, allocating resources and scheduling their execution to achieve multitasking.
9 .
Define a constructor.
A constructor is a special member function of a class that is automatically called when an object of that class is created. It is used to initialize the object's data members. Constructors have the same name as the class and do not have a return type (not even void). A class can have multiple constructors with different parameters (constructor overloading). If a class does not explicitly define a constructor, the compiler provides a default constructor (no-argument constructor).
10 .
What is a doubly-linked list (DLL)? What are its applications?

A doubly-linked list is a data structure where each node contains data and two pointers: one to the next node in the sequence and one to the previous node. This bidirectional linking allows for traversal in both forward and backward directions. Applications of DLLs include:

  • Implementing stacks and queues efficiently.
  • Supporting undo/redo functionality in software applications.
  • Navigation in web browsers (back and forward buttons).
  • Implementing more complex data structures like graphs.
  • Cache implementation where quick insertion and deletion from both ends are needed.
11 .
What are local variables and global variables in Python?
Local Variables: Variables defined inside a function. Their scope is limited to the function in which they are defined. They are created when the function is called and destroyed when the function returns.

Global Variables: Variables defined outside of any function (at the top level of a module). They have a global scope and can be accessed from anywhere in the module. To modify a global variable from within a function, you need to use the global keyword.
12 .
What is the full form of STL in C++?
STL stands for Standard Template Library. It is a set of template classes and functions in the C++ Standard Library that provides common programming data structures and functions such as containers, iterators, algorithms, and function objects. The STL aims to provide reusable components that can be adapted to work with different data types, promoting efficiency and reducing development time.
13 .
What are the benefits of a Database Management System (DBMS)?

A DBMS is a software system used to manage, store, and retrieve data in a database. Key benefits include:

  • Data Redundancy Control: Minimizing duplication of data, leading to better storage efficiency and data consistency.
  • Data Integrity: Ensuring the accuracy and consistency of data through constraints and validation rules.
  • Data Security: Providing mechanisms to control access to data and protect it from unauthorized access.
  • Data Sharing: Allowing multiple users and applications to access the same data concurrently.
  • Data Backup and Recovery: Providing procedures for backing up data and restoring it in case of failures.
  • Data Independence: Separating the logical structure of data from its physical storage, making it easier to modify the database without affecting applications.
14 .
What is a Relational Database Management System (RDBMS)?
An RDBMS is a type of DBMS that stores data in the form of related tables. Each table consists of rows (records) and columns (attributes), and relationships between tables are established using keys (primary and foreign keys). SQL (Structured Query Language) is the standard language for interacting with RDBMS to perform operations like querying, inserting, updating, and deleting data. Examples of popular RDBMS include MySQL, PostgreSQL, Oracle, and SQL Server.
15 .
What are the different types of SQL joins?
SQL joins are used to combine rows from two or more tables based on a related column between them. The main types of joins are:  

* INNER JOIN: Returns rows only when there is a match in both tables.  

* LEFT JOIN (or LEFT OUTER JOIN): Returns all rows from the left table and the matching rows from the right table. If there is no match in the right table, NULL values are returned for the columns of the right table.  

* RIGHT JOIN (or RIGHT OUTER JOIN): Returns all rows from the right table and the matching rows from the left table. If there is no match in the left table, NULL values are returned for the columns of the left table.  

* FULL OUTER JOIN: Returns all rows when there is a match in either the left or the right table. If there is no match in one of the tables, NULL values are returned for the columns of the other table.  
16 .
What is normalization in the context of databases?
Database normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. It involves dividing larger tables into smaller, more manageable tables and defining relationships between them. Normal forms (1NF, 2NF, 3NF, BCNF, etc.) provide a set of rules to achieve different levels of normalization. The goal is to eliminate data anomalies (insertion, update, and deletion anomalies) and make the database more efficient and easier to maintain.
17 .
What is the difference between DELETE and TRUNCATE in SQL?

Both DELETE and TRUNCATE are used to remove data from a table, but they differ in several ways:

  • Logging: DELETE operations are logged individually, allowing for rollback. TRUNCATE operations are minimally logged or not logged at all, making them faster but preventing rollback.
  • Transaction: DELETE can be part of a transaction and can be rolled back. TRUNCATE is a DDL (Data Definition Language) command and cannot be rolled back.
  • Identity Reset: TRUNCATE resets the identity (auto-increment) counter of a table to its initial seed value. DELETE does not reset the identity counter; the next inserted row will have an identity value that is one greater than the last value used.
  • WHERE Clause: DELETE allows the use of a WHERE clause to delete specific rows based on a condition. TRUNCATE removes all rows from the table.
18 .
Explain the concept of recursion.
Recursion is a programming technique where a function calls itself directly or indirectly to solve a problem. A recursive function typically has two parts: a base case (or stopping condition) that terminates the recursion and a recursive step where the function calls itself with a smaller or simpler version of the problem. Recursion is often used to solve problems that can be broken down into self-similar subproblems, such as traversing tree structures, calculating factorials, or implementing certain search algorithms.
19 .
What is the difference between TCP and UDP?

TCP (Transmission Control Protocol) and UDP (User Datagram Protocol) are both fundamental protocols in the Internet protocol suite, used for transmitting data over networks. Key differences include:

  • Connection: TCP is connection-oriented, meaning it establishes a connection before data transmission and terminates it afterward. UDP is connectionless; it sends data packets without establishing a connection.
  • Reliability: TCP is reliable; it ensures that data is delivered to the destination in the correct order and without loss through mechanisms like acknowledgments, retransmissions, and sequence numbers. UDP is unreliable; it does not guarantee delivery or order of packets.
  • Speed: UDP is generally faster than TCP because it has less overhead due to the absence of connection establishment, acknowledgments, and retransmissions.
  • Use Cases: TCP is suitable for applications that require reliable data transfer, such as web browsing, email, and file transfer. UDP is suitable for applications where speed is more critical than reliability, such as streaming, online gaming, and DNS lookups.
20 .
What is the purpose of a firewall?
A firewall is a network security system that monitors and controls incoming and outgoing network traffic based on predefined security rules. Its primary purpose is to establish a barrier between a trusted internal network and an untrusted external network (such as the Internet). Firewalls can be hardware-based, software-based, or a combination of both. They work by examining network packets and blocking or allowing them to pass based on configured rules, helping to prevent unauthorized access, malware, and other security threats.
21 .
Explain the concept of a deadlock in operating systems.
A deadlock is a situation in a multi-process system where two or more processes are blocked indefinitely, each waiting for a resource that is held by another process. For a deadlock to occur, four necessary conditions must be met simultaneously:

Mutual Exclusion: At least one resource must be held in a non-sharable mode, meaning only one process can use it at a time.

Hold and Wait: A process must be holding at least one resource and waiting to acquire additional resources that are currently held by other processes.  

No Preemption: Resources cannot be forcibly taken away from a process holding them; they must be released voluntarily by the process.

Circular Wait: A set of two or more processes exists where each process is waiting for a resource held by the next process in the chain.
22 .
What are the different types of sorting algorithms?
Sorting algorithms are used to arrange elements of a list or array in a specific order (e.g., ascending or descending). Some common sorting algorithms include:

* Bubble Sort: A simple algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order.

* Insertion Sort: Builds the final sorted array one item at a time by repeatedly inserting an element from the unsorted part into its correct position in the sorted part.  

* Selection Sort: Repeatedly finds the minimum element from the unsorted part and puts it at the beginning of the sorted part.

* Merge Sort: A divide-and-conquer algorithm that divides the list into halves, recursively sorts each half, and then merges the sorted halves.

* Quick Sort: Another divide-and-conquer algorithm that selects a 'pivot' element and partitions the other elements into two sub-arrays, according to whether they are less than or greater than the pivot. The sub-arrays are then recursively sorted.  

* Heap Sort: Uses a binary heap data structure to sort elements.

* Counting Sort: Works by counting the number of occurrences of each unique element in the input array.

* Radix Sort: Sorts integers by processing individual digits.
23 .
What is the time complexity of different sorting algorithms?

The time complexity of sorting algorithms varies depending on the algorithm and the input data. Here are some common time complexities in the average case:

  • Bubble Sort: O(n^2)
  • Insertion Sort: O(n^2)
  • Selection Sort: O(n^2)
  • Merge Sort: O(n log n)
  • Quick Sort: O(n log n) (worst case is O(n^2))
  • Heap Sort: O(n log n)
  • Counting Sort: O(n + k) (where k is the range of input values)
  • Radix Sort: O(nk) (where n is the number of elements and k is the number of digits)
24 .
Explain the concept of a virtual function in C++.
A virtual function is a member function in a base class that is declared with the virtual keyword. The purpose of a virtual function is to allow a derived class to override the base class's implementation of the function. When a virtual function is called through a pointer or reference of the base class type that is actually referring to an object of the derived class, the version of the function in the derived class is executed (run-time polymorphism). This is achieved through a mechanism called virtual table (vtable) and virtual pointer (vptr).
25 .
What is the difference between a stack and a queue?
Both stack and queue are linear data structures that follow specific rules for adding and removing elements:

Stack: Follows the Last-In, First-Out (LIFO) principle. The last element added to the stack is the first one to be removed. Operations on a stack are typically push (to add an element to the top) and pop (to remove the top element).  

Queue: Follows the First-In, First-Out (FIFO) principle. The first element added to the queue is the first one to be removed. Operations on a queue are typically enqueue (to add an element to the rear) and dequeue (to remove an element from the front).
26 .
What are Real-Time Operating Systems (RTOS)?
RTOS stands for "Real-Time Operating System". An RTOS is a type of operating system that is designed to support real-time applications, which are applications that require a guaranteed response within a specified time period.

RTOSs are used in a variety of applications, including industrial control systems, avionics, and automotive systems. They are typically used in situations where the accuracy and timeliness of the system's response is critical, such as in safety-critical systems or systems that control physical processes.

An RTOS typically provides the following features:

* Preemptive scheduling: The ability to interrupt the execution of a task and run a higher-priority task in its place.

* Real-time event handling: The ability to process events or interrupts in a timely manner.

* Resource management: The ability to manage and allocate system resources such as memory, I/O devices, and communication channels.

* Error handling: The ability to handle and recover from errors or failures that may occur in the system.

An RTOS is a specialized type of operating system that is designed to meet the unique demands of real-time applications. It provides features such as preemptive scheduling, real-time event handling, resource management, and error handling, which are essential for ensuring the accuracy and timeliness of a system’s response. As technology continues to advance and the demand for real-time applications increases, the importance of RTOSs is likely to grow, making them a critical component in a wide range of industries and applications.
27 .
What are micro and macro kernels?
A kernel is the central component of an operating system that manages the hardware and software resources of a computer. There are two main types of kernels: micro kernels and microkernels.

A microkernel is a type of kernel that only includes the essential components needed to manage the hardware and software resources of a computer. Micro kernels are designed to be small and simple, and they only include the core functionality that is required to manage the system.

A macro kernel, on the other hand, is a type of kernel that includes a wide range of functionality and features, including device drivers, libraries, and system services. Macro kernels are typically larger and more complex than micro kernels, but they provide a more comprehensive set of features and capabilities.

Micro kernels and macro kernels have different trade-offs in terms of performance, flexibility, and complexity. Micro kernels are generally faster and more flexible than macro kernels, but they may be less comprehensive in terms of the features and capabilities they offer. Macro kernels, on the other hand, maybe slower and less flexible than micro kernels, but they may provide a more comprehensive set of features and capabilities.
28 .
What is Banker's algorithm?
The Banker's algorithm is an algorithm used to manage the allocation of resources in a computer system. It is a deadlock avoidance algorithm that is used to prevent a system from entering a deadlock state, which is a situation where a system is unable to make progress because all of its resources are being used and none are available for new requests.

The Banker's algorithm works by maintaining a table of the resources that are available in the system, as well as the resources that are currently allocated to each process. It uses this information to determine whether a request for resources from a process can be granted without causing the system to enter a deadlock state.

To do this, the Banker's algorithm compares the resources requested by a process with the resources currently available in the system. If the resources are available, the request is granted, and the resources are allocated to the process. If the resources are not available, the request is denied, and the process must wait until the resources become available.

The Banker's algorithm is used in resource allocation systems to ensure that resources are used efficiently and to prevent deadlocks from occurring. It is an important algorithm in the field of computer science and is widely used in operating systems and other resource allocation systems.
29 .
What are the various Artificial Intelligence (AI) development platforms?
There are several platforms that can be used for developing artificial intelligence (AI) applications. Some of the most popular AI development platforms include:

* TensorFlow: TensorFlow is an open-source platform developed by Google for building and training machine learning models. It is widely used in the industry and has a large community of developers and users.

* Keras: Keras is a high-level neural network API that is built on top of TensorFlow. It is designed to be easy to use and allows developers to build and train machine learning models quickly and easily.

* Scikit-learn: Scikit-learn is a popular open-source library for machine learning in Python. It provides a range of tools and algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.

* PyTorch: PyTorch is an open-source machine-learning library developed by Facebook. It is designed to be flexible and easy to use, and it is often used for research and development in the field of AI.

* Microsoft Azure Machine Learning: Microsoft Azure Machine Learning is a cloud-based platform for developing and deploying machine learning models. It provides a range of tools and services for building, training, and deploying machine learning models at scale.

These are just a few examples of the many AI development platforms that are available. The best platform for a particular project will depend on the specific requirements and goals of the project.
30 .
What port does HTTP use?
HTTP (Hypertext Transfer Protocol) uses port 80 by default for communication between web servers and clients. However, HTTPS (HTTP Secure), which uses SSL/TLS encryption to secure the communication, typically uses port 443 by default.
31 .
Given two nodes in an arbitrary tree, write a function to find the most-specific-common-ancestor.
Below example Python function to find the most specific common ancestor of two nodes in an arbitrary tree:
def find_lca(root, node1, node2):
    if root is None:
        return None

    if root == node1 or root == node2:
        return root

    left = find_lca(root.left, node1, node2)
    right = find_lca(root.right, node1, node2)

    if left and right:
        return root

    return left or right​

This function takes three parameters: root is the root node of the tree, and node1 and node2 are the two nodes for which we want to find the most specific common ancestor. The function recursively traverses the tree from the root node and checks whether the root node is either node1 or node2. If it is, then the function returns the root node. Otherwise, the function recursively searches the left and right subtrees for node1 and node2.

If both node1 and node2 are found in the left and right subtrees, then the current root node is the most specific common ancestor. Otherwise, the function returns the node found in either the left or right subtree, whichever is not None. If neither node is found in the tree, the function returns None.
32 .
What are the types of scheduling queues?
In a computer operating system, scheduling queues are data structures that are used to store and manage the execution of processes or tasks. There are several types of scheduling queues, including:

First-In-First-Out (FIFO) queue: This is a simple queue in which processes are added to the end of the queue and are executed in the order in which they were added.

Shortest Job First (SJF) queue: This is a queue in which processes are ordered based on their expected execution time. Processes with shorter execution times are executed before processes with longer execution times.

Round Robin (RR) queue: This is a queue in which processes are executed in a fixed time slice, called a time quantum. Each process is given a time quantum to execute, and if it does not finish within the time quantum, it is moved to the end of the queue and another process is given a chance to execute.

Priority queue: This is a queue in which processes are ordered based on their priority level. Processes with higher priority are executed before processes with lower priority.

Multi-Level Queue (MLQ): This is a queue that consists of multiple sub-queues, each of which is assigned a different priority level. Processes are placed in the appropriate sub-queue based on their priority level, and the scheduler executes the processes in each sub-queue according to the scheduling algorithm that is used for that sub-queue.
33 .
How will you sort an array with many duplicate values in java with explanation?
There are several ways to sort an array with many duplicate values in Java. One approach is to use the Java Arrays class and its sort() method, which is a built-in method for sorting arrays of primitives (such as int, char, and double) and objects (such as String). Here is an example of how to use the sort() method to sort an array of integers:
int[] array = {3, 1, 2, 3, 4, 3, 5, 6, 3};
Arrays.sort(array);​

This will sort the array in ascending order, so the resulting array will be: [1, 2, 3, 3, 3, 3, 4, 5, 6].

Alternatively, you could use a more advanced sorting algorithm, such as quicksort or mergesort, to sort the array. These algorithms are more efficient than the sort() method in some cases, but they may be more complex to implement.

Here is an example of how to use the quicksort algorithm to sort an array of integers:
int[] array = {3, 1, 2, 3, 4, 3, 5, 6, 3};
quicksort(array, 0, array.length - 1);

public static void quicksort(int[] array, int left, int right) {
    if (left < right) {
        int pivot = partition(array, left, right);
        quicksort(array, left, pivot - 1);
        quicksort(array, pivot + 1, right);
    }
}

public static int partition(int[] array, int left, int right) {
    int pivot = array[right];
    int i = left - 1;
    for (int j = left; j < right; j++) {
        if (array[j] < pivot) {
            i++;
            int temp = array[i];
            array[i] = array[j];
            array[j] = temp;
        }
    }
    int temp = array[i + 1];
    array[i + 1] = array[right];
    array[right] = temp;
    return i + 1;
}​

This will also sort the array in ascending order, so the resulting array will be: [1, 2, 3, 3, 3, 3, 4, 5, 6].
34 .
What is Lucas' theorem?
Lucas' theorem is a result in number theory that describes the behavior of the binomial coefficient (n choose k) when computed modulo a prime number p. The theorem states that if n and k are nonnegative integers, and p is a prime number, then:
(n choose k) = ((n/p) choose (k/p)) * ((n%p) choose (k%p)) (mod p)​

Where ((n/p) choose (k/p)) is the binomial coefficient computed with the quotients of the numbers and ((n%p) choose (k%p)) is the binomial coefficient computed with the remainder of the numbers after dividing by prime p.

Lucas' theorem is particularly useful when computing binomial coefficients modulo a prime number, as it allows one to break down the computation into smaller subproblems, which can then be solved independently.

The theorem can be used in many different ways, for example, it can be used in computational number theory, coding theory, and cryptography.

In computational number theory, Lucas' theorem can be used to compute binomial coefficients quickly when the modulus is a prime number, while in coding theory, it can be used to determine the weight distribution of certain error-correcting codes. And in cryptography, it can be used to speed up the calculation of modular exponentiation.

It's named after the French mathematician Edouard Lucas who proved this theorem in the 19th century.
35 .
What is an Oracle data integrator?
Oracle Data Integrator (ODI) is a data integration and ETL (extract, transform, load) tool developed by Oracle. It is designed to help organizations extract data from various sources, transform it into a desired format, and load it into a target database or system.

ODI is a graphical design tool that allows developers to build data integration workflows using a visual interface. It includes a number of pre-built connectors and transformations that can be used to extract data from various sources, including relational databases, flat files, and web services. It also includes a runtime engine that can execute the data integration workflows and load the data into the target systems.

Some key features of Oracle Data Integrator include:

* Data integration: ODI can extract data from various sources, transform it, and load it into the target systems.

* Data quality: ODI includes a range of data quality transformations that can be used to clean and validate data before it is loaded into the target systems.

* Scalability: ODI can handle large volumes of data and can be scaled to meet the needs of enterprise-level data integration projects.

* Reusability: ODI allows developers to create reusable objects, such as mappings and transformations, which can be used in multiple data integration workflows.

ODI is often used to support data warehousing, master data management, and other data integration projects in organizations.
36 .
Define the term 'std’?
In the context of programming and computer science, "std" is often used as an abbreviation for "standard." It is commonly used in reference to the C++ Standard Template Library (STL), which is a collection of reusable components for C++ programming.

For example, "std::vector" is a container class in the STL that is used to store a collection of objects in a dynamic array. "std::sort" is a function in the STL that is used to sort the elements of a container.

"std" is also used as an abbreviation for "standard output" or "standard error," which are streams in the C++ standard library that are used to output data to the console or to a file.

For example, "std::cout" is an object in the C++ standard library that represents the standard output stream and can be used to output data to the console. "std::cerr" is an object in the C++ standard library that represents the standard error stream and can be used to output error messages to the console.
37 .
Define object cloning?
Object cloning is the process of creating a copy of an object in a new memory location. In object-oriented programming languages, objects are often created using a "constructor" method, which is a special function that is used to create a new instance of the object.

Object cloning is similar to object creation, but it involves creating a copy of an existing object rather than creating a new object from scratch. This can be useful in situations where you want to create a new object that has the same state as an existing object, but you want to keep the two objects separate and independent.

There are several ways to implement object cloning in different programming languages. In some languages, such as Java, the object cloning process is handled automatically by the runtime environment. In other languages, such as C++, object cloning must be implemented manually using specific techniques.
38 .
What is JavaScript and its frameworks?
What is JavaScript?

At its core, JavaScript (often abbreviated as JS) is a high-level, interpreted programming language that makes websites interactive. Think of HTML as the structure and CSS as the styling of a house; JavaScript is what makes the lights turn on, the doors open and close, and appliances function.  

Here's a breakdown of its key characteristics:

* Client-Side Scripting: Primarily runs in the user's web browser, directly manipulating the Document Object Model (DOM) to dynamically update content, handle user events (like clicks and form submissions), and create rich user interfaces without constantly needing to communicate with the server.
 
* Dynamic Typing: Variable types are checked during runtime, offering flexibility but requiring careful coding.  

* Prototype-Based Object-Oriented: Uses prototypes for inheritance and object creation, a different approach compared to class-based OOP languages.  

* Single-Threaded: Executes code line by line in a single thread. To handle asynchronous operations (like fetching data from a server), it uses an event loop and callbacks (or Promises and async/await more recently) to avoid blocking the main thread and keep the user interface responsive.  

* Versatile: While initially designed for browsers, JavaScript can now run on the server-side (with Node.js), in mobile apps (with frameworks like React Native and Ionic), and even in desktop applications (with Electron).  

* Large and Active Community: This means abundant resources, libraries, frameworks, and support available for developers.  

JavaScript Frameworks:

As web applications became more sophisticated, writing everything in "vanilla" JavaScript (plain JavaScript without any libraries or frameworks) became increasingly complex and time-consuming. This led to the rise of JavaScript frameworks, which provide a structured way to build applications. Think of them as pre-built structures and sets of tools that offer solutions to common development challenges, promoting code organization, reusability, and faster development.  

Here are some of the most popular and influential JavaScript frameworks:

* React: A declarative and component-based library primarily used for building user interfaces (UIs). Developed and maintained by Facebook, React focuses on the "view" layer of an application. Its key features include a virtual DOM for efficient updates, component reusability, and a strong ecosystem. It's widely used for single-page applications (SPAs) and complex UIs.
 
* Angular: A comprehensive, opinionated, and component-based framework developed and maintained by Google. Angular provides a complete solution for building large-scale applications, including features like data binding, routing, dependency injection, and state management. It follows a more structured approach and is often favored for enterprise-level applications.
 
* Vue.js: A progressive framework known for its ease of integration and gentle learning curve. Created by Evan You, Vue.js can be adopted incrementally, making it suitable for both simple and complex applications. It boasts a clear and concise syntax, excellent documentation, and a growing community.  

Beyond these major players, there are other notable frameworks and libraries like:

* Svelte: A compiler that shifts work from the browser to the build step, resulting in smaller and faster applications.  

* Ember.js: A productive, convention-over-configuration framework known for its robust CLI and focus on developer productivity.  

* Node.js: While technically a runtime environment, it's essential for building server-side applications with JavaScript and has a vast ecosystem of frameworks like Express.js and NestJS for building APIs and backend logic.  

* React Native: A framework for building native mobile applications (iOS and Android) using React.  

* Ionic: An open-source UI toolkit for building performant mobile apps, PWAs (Progressive Web Apps), and desktop apps using web technologies like HTML, CSS, and JavaScript (often with Angular, React, or Vue.js).