Apart from coding and aptitude, most companies evaluate your understanding of Computer Science fundamentals during campus placements. Interviewers usually expect candidates to explain concepts clearly, compare different approaches, and apply theoretical knowledge to practical scenarios.
Below are the most important subjects and topics you should prepare.
1. Operating Systems (OS)
Operating Systems is one of the most frequently asked subjects in interviews.
Process & Thread
Process vs Thread
User Thread vs Kernel Thread
Context Switching
Process States
Thread Scheduling
Multi-threading
CPU Scheduling
FCFS
SJF
SRTF
Round Robin
Priority Scheduling
Starvation
Aging
Synchronization
Critical Section Problem
Mutex
Semaphore
Monitor
Spin Lock
Peterson's Algorithm
Producer-Consumer Problem
Readers-Writers Problem
Dining Philosophers Problem
Deadlocks
Necessary Conditions
Resource Allocation Graph
Deadlock Prevention
Deadlock Avoidance (Banker's Algorithm)
Detection and Recovery
Memory Management
Paging
Segmentation
Virtual Memory
Demand Paging
Page Fault
Thrashing
TLB
Fragmentation
Page Replacement Algorithms (LRU, FIFO, Optimal)
Miscellaneous
System Calls
User Mode vs Kernel Mode
Interrupts
DMA
Cache Memory
Boot Process
2. Database Management System (DBMS)
SQL
SELECT
GROUP BY
HAVING
ORDER BY
LIMIT
DISTINCT
Joins
Inner Join
Left Join
Right Join
Full Join
Self Join
Cross Join
Keys
Primary Key
Foreign Key
Candidate Key
Alternate Key
Composite Key
Super Key
Normalization
1NF
2NF
3NF
BCNF
Denormalization
Transactions
ACID Properties
Isolation Levels
Dirty Read
Non-repeatable Read
Phantom Read
Indexing
Clustered Index
Non-clustered Index
Composite Index
Covering Index
Miscellaneous
Views
Stored Procedures
Triggers
Constraints
Aggregate Functions
3. Computer Networks (CN)
Network Models
OSI Model
TCP/IP Model
Protocols
TCP
UDP
HTTP
HTTPS
FTP
SMTP
DNS
DHCP
TCP Concepts
Three-way Handshake
Four-way Connection Termination
Flow Control
Congestion Control
Sliding Window
IP Addressing
IPv4
IPv6
Subnetting
CIDR
NAT
Routing
Router vs Switch
Hub vs Switch
Bridge
Gateway
ARP
ICMP
Security
SSL/TLS
Firewalls
VPN
HTTPS Certificates
4. Object-Oriented Programming (OOP)
Four Pillars
Encapsulation
Abstraction
Inheritance
Polymorphism
Concepts
Method Overloading
Method Overriding
Constructor
Interface
Abstract Class
Static Keyword
Final Keyword
Access Modifiers
Relationships
Association
Aggregation
Composition
Dependency
Design Principles
SOLID Principles
DRY
KISS
YAGNI
5. Data Structures
Arrays
Strings
Linked Lists
Stack
Queue
Deque
HashMap
HashSet
Heap
Priority Queue
Binary Search Tree
Trie
Segment Tree
Fenwick Tree
Graph
Union Find (DSU)
Know:
Time Complexity
Space Complexity
Use Cases
Advantages
Limitations
6. Algorithms
Binary Search
Sorting Algorithms
Greedy
Dynamic Programming
Graph Algorithms
BFS
DFS
Dijkstra
Floyd Warshall
Bellman Ford
Topological Sort
MST (Prim & Kruskal)
Sliding Window
Two Pointers
Prefix Sum
Backtracking
Bit Manipulation
7. Object-Oriented Design Basics
Design Patterns (Singleton, Factory, Observer)
UML Basics
Low-Level Design Fundamentals
Class Design
API Design
Dependency Injection
8. Software Engineering
SDLC
Agile
Scrum
Git
CI/CD Basics
Unit Testing
Integration Testing
Regression Testing
Code Review
9. Java (If Applying for Java Roles)
Collections Framework
Comparable vs Comparator
HashMap Internal Working
ConcurrentHashMap
String Pool
JVM
JDK vs JRE vs JVM
Garbage Collection
Exception Handling
Multithreading
Executors Framework
Synchronization
10. C++ (If Applying for C++ Roles)
STL
Vector
Map
Set
Priority Queue
Smart Pointers
Virtual Functions
Templates
Memory Management
11. Python (If Applying for Python Roles)
List vs Tuple
Dictionary
Set
Decorators
Generators
Iterators
Lambda Functions
GIL
Multithreading vs Multiprocessing
Frequently Asked Interview Questions
What is the difference between a process and a thread?
Explain how virtual memory works.
What is the difference between TCP and UDP?
How does DNS resolve a domain name?
Explain the ACID properties.
What are database indexes and why are they useful?
What is normalization? Why is BCNF required?
Difference between INNER JOIN and LEFT JOIN.
Explain polymorphism with an example.
What is the difference between an interface and an abstract class?
How does HashMap work internally?
Explain deadlock and ways to prevent it.
What happens when you type a URL into a browser?
What is a race condition?
Explain the Producer-Consumer problem.
What is the difference between HTTP and HTTPS?
Preparation Strategy
A good preparation plan for campus placements is:
Data Structures & Algorithms: 50%
Operating Systems: 15%
DBMS: 15%
Computer Networks: 10%
OOP: 5%
Software Engineering, Git, and SDLC: 5%
This combination covers the majority of technical interviews conducted by companies such as Microsoft, Google, Amazon, Adobe, Walmart, Atlassian, Oracle, Cisco, ServiceNow, Qualcomm, Arcesium, Goldman Sachs, JPMorgan Chase, and many product-based startups.
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Apart from coding and aptitude, most companies evaluate your understanding of Computer Science fundamentals during campus placements. Interviewers usually expect candidates to explain concepts clearly, compare different approaches, and apply theoretical knowledge to practical scenarios.
\n
Below are the most important subjects and topics you should prepare.
\n
1. Operating Systems (OS)
\n
Operating Systems is one of the most frequently asked subjects in interviews.
\n
Process & Thread
\n
\n
Process vs Thread
\n
User Thread vs Kernel Thread
\n
Context Switching
\n
Process States
\n
Thread Scheduling
\n
Multi-threading
\n
\n
CPU Scheduling
\n
\n
FCFS
\n
SJF
\n
SRTF
\n
Round Robin
\n
Priority Scheduling
\n
Starvation
\n
Aging
\n
\n
Synchronization
\n
\n
Critical Section Problem
\n
Mutex
\n
Semaphore
\n
Monitor
\n
Spin Lock
\n
Peterson's Algorithm
\n
Producer-Consumer Problem
\n
Readers-Writers Problem
\n
Dining Philosophers Problem
\n
\n
Deadlocks
\n
\n
Necessary Conditions
\n
Resource Allocation Graph
\n
Deadlock Prevention
\n
Deadlock Avoidance (Banker's Algorithm)
\n
Detection and Recovery
\n
\n
Memory Management
\n
\n
Paging
\n
Segmentation
\n
Virtual Memory
\n
Demand Paging
\n
Page Fault
\n
Thrashing
\n
TLB
\n
Fragmentation
\n
Page Replacement Algorithms (LRU, FIFO, Optimal)
\n
\n
Miscellaneous
\n
\n
System Calls
\n
User Mode vs Kernel Mode
\n
Interrupts
\n
DMA
\n
Cache Memory
\n
Boot Process
\n
\n
2. Database Management System (DBMS)
\n
SQL
\n
\n
SELECT
\n
GROUP BY
\n
HAVING
\n
ORDER BY
\n
LIMIT
\n
DISTINCT
\n
\n
Joins
\n
\n
Inner Join
\n
Left Join
\n
Right Join
\n
Full Join
\n
Self Join
\n
Cross Join
\n
\n
Keys
\n
\n
Primary Key
\n
Foreign Key
\n
Candidate Key
\n
Alternate Key
\n
Composite Key
\n
Super Key
\n
\n
Normalization
\n
\n
1NF
\n
2NF
\n
3NF
\n
BCNF
\n
Denormalization
\n
\n
Transactions
\n
\n
ACID Properties
\n
Isolation Levels
\n
Dirty Read
\n
Non-repeatable Read
\n
Phantom Read
\n
\n
Indexing
\n
\n
Clustered Index
\n
Non-clustered Index
\n
Composite Index
\n
Covering Index
\n
\n
Miscellaneous
\n
\n
Views
\n
Stored Procedures
\n
Triggers
\n
Constraints
\n
Aggregate Functions
\n
\n
3. Computer Networks (CN)
\n
Network Models
\n
\n
OSI Model
\n
TCP/IP Model
\n
\n
Protocols
\n
\n
TCP
\n
UDP
\n
HTTP
\n
HTTPS
\n
FTP
\n
SMTP
\n
DNS
\n
DHCP
\n
\n
TCP Concepts
\n
\n
Three-way Handshake
\n
Four-way Connection Termination
\n
Flow Control
\n
Congestion Control
\n
Sliding Window
\n
\n
IP Addressing
\n
\n
IPv4
\n
IPv6
\n
Subnetting
\n
CIDR
\n
NAT
\n
\n
Routing
\n
\n
Router vs Switch
\n
Hub vs Switch
\n
Bridge
\n
Gateway
\n
ARP
\n
ICMP
\n
\n
Security
\n
\n
SSL/TLS
\n
Firewalls
\n
VPN
\n
HTTPS Certificates
\n
\n
4. Object-Oriented Programming (OOP)
\n
Four Pillars
\n
\n
Encapsulation
\n
Abstraction
\n
Inheritance
\n
Polymorphism
\n
\n
Concepts
\n
\n
Method Overloading
\n
Method Overriding
\n
Constructor
\n
Interface
\n
Abstract Class
\n
Static Keyword
\n
Final Keyword
\n
Access Modifiers
\n
\n
Relationships
\n
\n
Association
\n
Aggregation
\n
Composition
\n
Dependency
\n
\n
Design Principles
\n
\n
SOLID Principles
\n
DRY
\n
KISS
\n
YAGNI
\n
\n
5. Data Structures
\n
\n
Arrays
\n
Strings
\n
Linked Lists
\n
Stack
\n
Queue
\n
Deque
\n
HashMap
\n
HashSet
\n
Heap
\n
Priority Queue
\n
Binary Search Tree
\n
Trie
\n
Segment Tree
\n
Fenwick Tree
\n
Graph
\n
Union Find (DSU)
\n
\n
Know:
\n
\n
Time Complexity
\n
Space Complexity
\n
Use Cases
\n
Advantages
\n
Limitations
\n
\n
6. Algorithms
\n
\n
Binary Search
\n
Sorting Algorithms
\n
Greedy
\n
Dynamic Programming
\n
Graph Algorithms
\n
BFS
\n
DFS
\n
Dijkstra
\n
Floyd Warshall
\n
Bellman Ford
\n
Topological Sort
\n
MST (Prim & Kruskal)
\n
Sliding Window
\n
Two Pointers
\n
Prefix Sum
\n
Backtracking
\n
Bit Manipulation
\n
\n
7. Object-Oriented Design Basics
\n
\n
Design Patterns (Singleton, Factory, Observer)
\n
UML Basics
\n
Low-Level Design Fundamentals
\n
Class Design
\n
API Design
\n
Dependency Injection
\n
\n
8. Software Engineering
\n
\n
SDLC
\n
Agile
\n
Scrum
\n
Git
\n
CI/CD Basics
\n
Unit Testing
\n
Integration Testing
\n
Regression Testing
\n
Code Review
\n
\n
9. Java (If Applying for Java Roles)
\n
\n
Collections Framework
\n
Comparable vs Comparator
\n
HashMap Internal Working
\n
ConcurrentHashMap
\n
String Pool
\n
JVM
\n
JDK vs JRE vs JVM
\n
Garbage Collection
\n
Exception Handling
\n
Multithreading
\n
Executors Framework
\n
Synchronization
\n
\n
10. C++ (If Applying for C++ Roles)
\n
\n
STL
\n
Vector
\n
Map
\n
Set
\n
Priority Queue
\n
Smart Pointers
\n
Virtual Functions
\n
Templates
\n
Memory Management
\n
\n
11. Python (If Applying for Python Roles)
\n
\n
List vs Tuple
\n
Dictionary
\n
Set
\n
Decorators
\n
Generators
\n
Iterators
\n
Lambda Functions
\n
GIL
\n
Multithreading vs Multiprocessing
\n
\n
Frequently Asked Interview Questions
\n
\n
What is the difference between a process and a thread?
\n
Explain how virtual memory works.
\n
What is the difference between TCP and UDP?
\n
How does DNS resolve a domain name?
\n
Explain the ACID properties.
\n
What are database indexes and why are they useful?
\n
What is normalization? Why is BCNF required?
\n
Difference between INNER JOIN and LEFT JOIN.
\n
Explain polymorphism with an example.
\n
What is the difference between an interface and an abstract class?
\n
How does HashMap work internally?
\n
Explain deadlock and ways to prevent it.
\n
What happens when you type a URL into a browser?
\n
What is a race condition?
\n
Explain the Producer-Consumer problem.
\n
What is the difference between HTTP and HTTPS?
\n
\n
Preparation Strategy
\n
A good preparation plan for campus placements is:
\n
\n
Data Structures & Algorithms: 50%
\n
Operating Systems: 15%
\n
DBMS: 15%
\n
Computer Networks: 10%
\n
OOP: 5%
\n
Software Engineering, Git, and SDLC: 5%
\n
\n
This combination covers the majority of technical interviews conducted by companies such as Microsoft, Google, Amazon, Adobe, Walmart, Atlassian, Oracle, Cisco, ServiceNow, Qualcomm, Arcesium, Goldman Sachs, JPMorgan Chase, and many product-based startups.
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