Operating Systems
We have covered every topic that might ask in any placement exam so that students always get prepared for Operating Systems Questions in the written rounds.

Operating Systems Interview Mock Tests: Core CS Fundamentals
Operating Systems (OS) is a foundational subject that separates programmers from system-level software engineers. Technical interviews at top tech companies frequently dive deep into process management, kernel modes, deadlock conditions, and memory segmentation to test your core computer science knowledge.
Our Operating Systems mock tests are designed to strengthen your CS foundations. With 100+ questions across 15 timed exams, we cover critical OS topics: CPU scheduling, virtual memory, concurrency & synchronization, and file system architecture. Each test is designed to simulate the depth and rigor required for roles in backend systems and systems programming.
Go beyond simple definitions and analyze technical trade-offs, such as FCFS vs. Round Robin scheduling or Semaphores vs. Monitors. Detailed explanations for every answer help you build the right mental model for how modern operating systems function, ensuring you're ready for the most challenging technical screenings.
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OS - Peterson’s Limitations
Why is Peterson’s Solution not widely used in modern systems?
Highlights
4190+
Students Attempted
100+
Interview Questions
100+ Mins
Duration
10
Core Interview Topics
Core Topics Covered
Build a strong foundation by understanding what an OS is, its core functions, and the different types used across modern computing environments.
Definition: software that manages hardware resources and provides services to applications
Functions: process management, memory management, file management, I/O management, security
Types: batch, time-sharing, real-time, distributed, embedded, network operating systems
Batch OS: groups similar jobs, executes without user interaction, used in payroll systems
Time-sharing OS: multiple users share CPU time through rapid switching, interactive computing
Real-Time OS (RTOS): guarantees response within strict time constraints, used in embedded systems
Kernel role: core component managing resources, hardware abstraction, system calls
Multiprogramming vs multitasking: multiple programs in memory vs CPU switching between tasks
Understand the structural design of an OS — how the kernel works, how modes of operation protect the system, and how user programs interact with hardware.
Kernel: core of OS, manages CPU, memory, devices, provides system call interface
User space vs kernel space: applications run in user space, kernel operates in protected kernel space
System calls: interface between user programs and kernel services
System call examples: open(), read(), write(), fork(), exec(), wait()
User mode: restricted access, cannot execute privileged instructions or access hardware directly
Kernel mode: unrestricted access to hardware, can execute privileged instructions
Mode transition: system calls, interrupts, exceptions cause switch from user to kernel mode
Monolithic kernel vs microkernel: entire OS in kernel space (Linux) vs minimal kernel with services in user space (Minix)
Learn how the OS creates, manages, and switches between processes — the fundamental unit of execution in every operating system.
Process definition: program in execution with its own address space, resources, and state
Process states: New, Ready, Running, Waiting/Blocked, Terminated
State transitions: Ready to Running (dispatch), Running to Ready (interrupt), Running to Waiting (I/O request)
Process Control Block (PCB): stores process state, program counter, registers, memory limits, open files
Context switching: saving state of current process and loading state of next process
Context switching overhead: time spent saving/loading state instead of executing processes
Process creation: allocating memory, initializing PCB, loading program, setting initial state
Parent-child relationship: parent creates child using fork(), child inherits parent's attributes
Master how threads enable concurrent execution within a process and understand the differences between user-level and kernel-level thread models.
Thread definition: lightweight process, unit of execution within a process
Multithreading: multiple threads in single process sharing code, data, and resources
User-level threads (ULT): managed by thread library in user space, kernel unaware
Kernel-level threads (KLT): managed by kernel, enables true parallelism on multicore systems
ULT limitation: blocking system call blocks entire process, cannot utilize multiple CPUs
Many-to-one model: many user threads to one kernel thread, limited parallelism
One-to-one model: each user thread mapped to kernel thread, overhead of kernel thread creation
Many-to-many model: multiplexes many user threads onto smaller or equal number of kernel threads
Understand how the OS decides which process runs on the CPU — a heavily tested interview topic covering algorithms, trade-offs, and real-world scenarios.
CPU scheduling: determines which process runs on CPU when multiple processes are ready
FCFS (First-Come, First-Served): processes executed in arrival order, simple but prone to convoy effect
SJF (Shortest Job First): process with shortest CPU burst executes first, optimal average waiting time
Preemptive SJF (SRTF): if new process has shorter remaining time, preempts current process
Priority scheduling problem: starvation — low-priority processes may never execute
Round Robin (RR): each process gets small time quantum, circular queue, ideal for time-sharing
Multilevel Queue (MLQ): separate queues for different process types, each with own scheduling algorithm
Choosing scheduling algorithm: consider CPU utilization, throughput, turnaround time, waiting time, response time
Deeply understand deadlock — its four necessary conditions, and how to prevent, avoid, detect, and recover from it in real systems.
Deadlock: set of processes waiting indefinitely for resources held by other processes in the set
Coffman's four conditions: mutual exclusion, hold and wait, no preemption, circular wait
Deadlock prevention: eliminate one of the four necessary conditions
Deadlock avoidance: dynamically examines resource allocation state using Banker's algorithm
Safe state: system can allocate resources to each process in some order avoiding deadlock
Resource Allocation Graph (RAG): cycle in RAG indicates potential deadlock
Deadlock recovery: process termination (abort all or one at a time) or resource preemption
Deadlock vs starvation: deadlock is permanent blocking, starvation is indefinite postponement but process may eventually execute
Understand how the OS manages physical and virtual memory — including paging, segmentation, page replacement algorithms, and the concept of virtual memory.
Paging: divides physical memory into fixed-size frames, logical memory into pages — eliminates external fragmentation
Segmentation: divides program into logical segments (code, data, stack) with variable sizes
Virtual memory: allows execution of processes not completely in physical memory, illusion of large memory
Page table: maps logical page numbers to physical frame numbers
Page fault: occurs when requested page not in physical memory, must be loaded from disk
FIFO page replacement: replaces oldest page in memory
LRU (Least Recently Used): replaces page that hasn't been used for longest time
Thrashing: excessive paging where system spends more time paging than executing — prevented by working set model
Learn how operating systems organize and manage data on storage devices — including allocation strategies, directory structures, and real-world file systems.
File system purpose: organizes and stores files on storage devices, provides access methods
Contiguous allocation drawback: external fragmentation, difficult to grow files
Linked allocation: file blocks linked together via pointers in each block
Indexed allocation: separate index block contains pointers to all file blocks, supports direct access
Directory structures: single-level, two-level, tree-structured, acyclic graph allows file sharing
FAT (File Allocation Table): table maps clusters to files, used in FAT12/16/32
NTFS features: security (ACLs), encryption, compression, journaling, large file support
Journaling: logs changes before committing, enables recovery after crashes
Master the tools and techniques used to coordinate concurrent processes — a critical topic for both OS interviews and real-world multithreaded programming.
Critical section problem: ensuring only one process executes critical code section at a time
Requirements: mutual exclusion, progress (no deadlock), bounded waiting (no starvation)
Peterson's solution: uses two shared variables (flag and turn) for two-process mutual exclusion
Semaphores: synchronization primitive with wait (P) and signal (V) operations
Types of semaphores: binary (mutex, 0 or 1) and counting (multiple resources)
Semaphore problems: incorrect usage leads to deadlock and priority inversion
Monitors: high-level synchronization construct with mutex and condition variables
Monitors vs semaphores: monitors provide automatic mutex, easier to use correctly
Understand how operating systems protect resources and enforce security — from access control models to malware defense and authentication mechanisms.
Authentication: verifying identity of user (who are you?)
Authorization: determining what authenticated user can access (what can you do?)
Access control models: DAC (Discretionary), MAC (Mandatory), RBAC (Role-Based)
RBAC advantage: permissions assigned to roles, users assigned to roles, simplifies management
Malware types: virus (self-replicating), worm (network spreading), trojan (disguised), ransomware
Password security: complexity requirements, salting, hashing, regular rotation
Two-Factor Authentication (2FA): combines something you know (password) and something you have (token/phone)
Principle of Least Privilege: users/processes granted minimum permissions needed
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