1. Tell me about yourself and your technical background.
Give a concise overview of your education, technical skills, key projects, and career interests.

2. Explain your final year project in detail - what problem does it solve?
Clearly describe the project's objective, your role, and the problem it addresses.

3. What was your specific contribution in the project?
Detail the modules you worked on, decisions you made, and code you wrote.

4. What technology stack did you use in your project and why did you choose it?
Explain the languages, frameworks, databases, and tools used and your reasoning for choosing them.

5. What challenges did you face during the project and how did you overcome them?
Describe a specific challenge, your approach to solving it, and the outcome.

6. Which programming language are you most comfortable with and why?
Pick one language and explain its features, libraries, and where you've applied it.

7. What is the difference between a compiler and an interpreter?
Compiler translates whole code at once; interpreter executes line-by-line.

• Know Your Resume Inside Out: NTT Data interviewers ask very detailed questions about every project and skill listed on your resume. Do not mention anything you cannot explain in depth.
• Prepare a Structured Self-Introduction: Keep it under 2 minutes - education, technical skills, key projects, and career interests.
• Explain Projects Clearly: Practice explaining objectives, architecture, tech stack, your contribution, challenges, and outcomes.
• Be Honest: If you do not know something, admit it clearly. NTT Data values integrity.

1. What is Object-Oriented Programming? Explain its key principles.
OOP is a paradigm based on objects that encapsulate data and behavior.

2. What are the four pillars of OOP? Explain each with an example.
Encapsulation, Inheritance, Polymorphism, and Abstraction.

3. What is the difference between a class and an object?
Class is a blueprint; object is an instance of a class.

4. What is inheritance? Explain different types of inheritance with examples.
Mechanism where a child class acquires properties of a parent class. Types: single, multiple, multilevel, hierarchical, hybrid.

5. What is polymorphism? Differentiate between compile-time and runtime polymorphism.
Ability of a method to take multiple forms. Compile-time: method overloading. Runtime: method overriding.

6. What is the difference between method overloading and method overriding?
Overloading: same name, different parameters (compile-time). Overriding: same method signature in parent and child (runtime).

7. What is encapsulation? How does it help in software design?
Bundling data and methods together, restricting direct access via access modifiers.

8. What is abstraction? How is it different from encapsulation?
Abstraction hides complexity; encapsulation hides internal state.

9. What is an abstract class? How is it different from an interface?
Abstract class can have method implementations; interface has only method signatures (pre-Java 8).

10. What are access modifiers? Explain public, private, protected, and default.
Public: accessible everywhere. Private: within class only. Protected: within package and subclasses. Default: within package.

11. What is a constructor? Explain default, parameterized, and copy constructors.
Special method for initialization. Default: no-arg. Parameterized: with arguments. Copy: creates copy of another object.

12. What is the use of the 'this' and 'super' keywords?
'this' refers to current object. 'super' refers to parent class.

• Master All Four Pillars: Be able to explain inheritance, polymorphism, encapsulation, and abstraction with real-world examples and code.
• Know Key Differences: Abstract class vs interface, overloading vs overriding, compile-time vs runtime polymorphism are frequently asked.
• Write Code Examples: Be ready to write small code snippets demonstrating OOP concepts on a whiteboard or paper.
• Connect to Projects: If your project uses OOP principles, explain how you applied these concepts in practice.

1. What is a data structure? Why are data structures important?
Way of organizing and storing data for efficient access and modification.

2. What is the difference between an array and a linked list?
Array: contiguous memory, fixed size. Linked list: dynamic size, non-contiguous, extra pointer overhead.

3. Explain singly linked list, doubly linked list, and circular linked list.
Singly: one direction. Doubly: both directions. Circular: last node points to first.

4. What is a stack? Explain its operations (push, pop, peek).
LIFO structure. Push: add. Pop: remove top. Peek: view top.

5. What is a queue? Differentiate between stack and queue.
FIFO structure. Queue: first in first out. Stack: last in first out.

6. What is a binary tree? What is a binary search tree?
Binary tree: each node has at most two children. BST: left child < parent < right child.

7. Explain DFS (Depth First Search) and BFS (Breadth First Search).
DFS: explores deep paths first using stack/recursion. BFS: explores level by level using queue.

8. What is hashing? Explain hash functions and collision handling.
Mapping data to fixed-size values. Collision handling: chaining, open addressing.

9. Sort an array containing only 0s, 1s, and 2s without using a sorting algorithm.
Dutch National Flag algorithm using three pointers.

10. Reverse a linked list.
Iteratively change each node's next pointer and update the head.

11. Write a program to check if a string is a palindrome.
Compare characters from both ends moving inward.

12. Explain the time complexity of searching, insertion, and deletion in arrays, linked lists, and BSTs.
Array: O(n) search, O(1) access. Linked list: O(n) search, O(1) insertion. BST: O(log n) average.

• Understand Core Data Structures: Arrays, linked lists, stacks, queues, trees, graphs - operations and time complexities.
• Practice Whiteboard Coding: NTT Data may ask you to write code on a whiteboard or paper. Practice writing clean, readable code without an IDE.
• Know Sorting and Searching: Be able to explain and implement bubble sort, selection sort, insertion sort, merge sort, quick sort, binary search.
• Compare Data Structures: When to use arrays vs linked lists, stacks vs queues, trees vs hash tables.

1. What is a DBMS? What are the advantages of using a DBMS?
Software for managing databases. Advantages: data integrity, reduced redundancy, concurrent access.

2. What is the difference between DBMS and RDBMS?
DBMS stores data in any format. RDBMS stores data in tabular form with relationships.

3. What are the different types of SQL commands (DDL, DML, DCL, TCL)?
DDL: CREATE, ALTER, DROP. DML: SELECT, INSERT, UPDATE, DELETE. DCL: GRANT, REVOKE. TCL: COMMIT, ROLLBACK.

4. What is normalization? Explain 1NF, 2NF, 3NF, and BCNF.
Reducing redundancy. 1NF: atomic values. 2NF: no partial dependencies. 3NF: no transitive dependencies. BCNF: stricter 3NF.

5. What is a primary key? What is a foreign key? What is a candidate key?
Primary key: unique identifier. Foreign key: references primary key of another table. Candidate key: minimal superkey.

6. What are ACID properties? Explain each with examples.
Atomicity, Consistency, Isolation, Durability ensure reliable transactions.

7. What are SQL joins? Explain INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
INNER: matching rows. LEFT: all left + matching right. RIGHT: all right + matching left. FULL OUTER: all rows from both.

8. Write an SQL query to find the second highest salary from an employee table.
SELECT MAX(salary) FROM employee WHERE salary < (SELECT MAX(salary) FROM employee);

9. What is the difference between DELETE, TRUNCATE, and DROP?
DELETE: row-by-row, can rollback. TRUNCATE: all rows, minimal logging. DROP: removes entire table.

10. What is indexing? Why is it used?
Data structure to speed up data retrieval. Reduces disk I/O.

11. What is a stored procedure? What is a trigger?
Stored procedure: precompiled SQL block. Trigger: auto-executed on specific table events.

12. What is the ALTER DATABASE command used for?
Modifying database properties like name or options.

• Know SQL Commands: Be fluent in SELECT, INSERT, UPDATE, DELETE, JOIN, GROUP BY, HAVING, ORDER BY, and aggregate functions.
• Understand Normalization: Know 1NF, 2NF, 3NF, BCNF with examples and be able to normalize a given table.
• Practice Query Writing: Practice common queries like finding second highest salary, duplicate records, aggregation, and subqueries.
• Master ACID Properties: Be able to explain Atomicity, Consistency, Isolation, and Durability with transaction examples.

1. What is an operating system? What are its main functions?
Software managing hardware and software resources. Functions: process management, memory management, file management.

2. What is the difference between a process and a thread?
Process: independent program. Thread: lightweight subprocess within a process.

3. What is a deadlock? What are the four necessary conditions for deadlock?
State where processes wait indefinitely. Conditions: mutual exclusion, hold and wait, no preemption, circular wait.

4. Explain deadlock prevention, avoidance, and detection strategies.
Prevention: break one of four conditions. Avoidance: Banker's algorithm. Detection: resource allocation graph.

5. What is virtual memory? How does it work?
Technique using disk as extension of RAM. Allows programs larger than physical memory.

6. What is paging? What is segmentation?
Paging: fixed-size memory blocks. Segmentation: variable-size logical divisions.

7. What is the difference between preemptive and non-preemptive scheduling?
Preemptive: OS can interrupt process. Non-preemptive: process runs until completion or wait.

8. Explain FCFS, SJF, Round Robin, and Priority scheduling algorithms.
FCFS: first come first served. SJF: shortest job first. Round Robin: time quantum. Priority: highest priority first.

9. What is a semaphore? What is a mutex?
Semaphore: signaling mechanism for synchronization. Mutex: mutual exclusion object for locking.

10. What is thrashing? How can it be prevented?
Excessive paging causing performance degradation. Prevented by increasing memory or reducing processes.

• Master Process Concepts: Process states, PCB, context switching, scheduling algorithms.
• Understand Memory Management: Paging, segmentation, virtual memory, page replacement algorithms.
• Know Deadlock Thoroughly: Necessary conditions, prevention, avoidance (Banker's algorithm), detection, and recovery.
• Practice with Examples: Be ready to trace scheduling algorithms and page replacement with numerical examples.

1. What is the OSI model? Name and explain its 7 layers.
Physical, Data Link, Network, Transport, Session, Presentation, Application.

2. What is the difference between TCP and UDP?
TCP: connection-oriented, reliable. UDP: connectionless, faster, no guarantee.

3. What is the difference between the OSI model and TCP/IP model?
OSI: 7 layers, theoretical. TCP/IP: 4 layers, practical implementation.

4. What is DNS? How does it work?
Domain Name System translates domain names to IP addresses using hierarchical name servers.

5. What is HTTP vs HTTPS?
HTTPS adds SSL/TLS encryption to HTTP for secure communication.

6. What is a subnet? Explain subnetting with an example.
Subdividing a network into smaller segments. Example: dividing 192.168.1.0/24 into two /25 subnets.

7. What is a firewall? What types of firewalls exist?
Network security system filtering traffic. Types: packet filtering, stateful, proxy, next-generation.

8. What is the difference between a switch, router, and hub?
Hub: broadcasts to all. Switch: forwards to specific device. Router: connects different networks.

9. What is IP addressing? Explain IPv4 vs IPv6.
IPv4: 32-bit, ~4 billion addresses. IPv6: 128-bit, virtually unlimited addresses.

10. What is ARP (Address Resolution Protocol)?
Maps IP addresses to MAC addresses within a local network.

• Memorize the OSI Model: Know all 7 layers, their functions, and protocols at each layer.
• Understand TCP vs UDP: Be clear on connection-oriented vs connectionless, reliability, use cases.
• Know Common Protocols: HTTP, HTTPS, FTP, SMTP, DNS, DHCP, ARP - purpose and working.
• Practice Subnetting: Be able to calculate subnet masks and network addresses.

1. What are the different data types in C/C++/Java/Python?
int, char, float, double, boolean, string, and language-specific types.

2. What is the difference between pass by value and pass by reference?
Pass by value: copies the value. Pass by reference: passes the address, allowing modification of original.

3. What are pointers in C/C++? Explain with examples.
Variables storing memory addresses. Example: int *p = &a;

4. What is the difference between malloc() and calloc()?
malloc allocates uninitialized memory. calloc allocates and initializes to zero.

5. What is exception handling? Explain try-catch-finally.
Mechanism to handle runtime errors. try: code block. catch: handles exception. finally: always executes.

6. What is the difference between '==' and '.equals()' in Java?
'==' compares references. '.equals()' compares content/values.

7. What is a string? Is it mutable or immutable in your preferred language?
Sequence of characters. Immutable in Java and Python. Mutable in C++.

8. What is the 'extern' keyword in C?
Declares a variable defined elsewhere, used across multiple files.

9. What are the differences between C and C++?
C: procedural. C++: supports OOP, has classes, references, function overloading.

10. What is a design pattern? Explain the MVC pattern.
Reusable solution to common problems. MVC: Model (data), View (UI), Controller (logic) separation.

• Go Deep in One Language: NTT Data expects proficiency in at least one programming language. Know its syntax, standard libraries, and memory model thoroughly.
• Practice Output Prediction: Be ready to trace code and predict output for small programs including pointer arithmetic, recursion, and loop-based programs.
• Understand Memory Concepts: Stack vs heap, static vs dynamic allocation, garbage collection.
• Write Clean Code: Practice writing readable, well-structured code on paper or whiteboard.

1. What is Unix/Linux? What are the key differences?
Unix: commercial OS family. Linux: open-source Unix-like OS.

2. What is a shell? What are the different types of shells?
Command-line interface. Types: bash, sh, zsh, csh, ksh.

3. Explain common Linux commands: ls, cd, mkdir, rm, chmod, grep, find, ps, kill.
ls: list files. cd: change directory. mkdir: create directory. rm: remove. chmod: change permissions. grep: search text. find: locate files. ps: list processes. kill: terminate process.

4. What is a daemon process?
Background process that runs without user interaction.

5. What is piping in Unix? Give an example.
Passing output of one command as input to another. Example: ls | grep .txt

6. What are file permissions in Linux? Explain read, write, execute.
rwx permissions for owner, group, others. Read: view content. Write: modify. Execute: run as program.

• Know Basic Commands: Be familiar with common Linux commands for file management, process management, and system administration.
• Understand Permissions: File permission model (rwx), chmod, chown.
• Practice on Terminal: Hands-on experience with a Linux terminal is the best preparation.