Introduction to High-Level System Design
System Design Fundamentals
- Functional vs. Non-Functional Requirements
- Scalability, Availability, and Reliability
- Latency and Throughput Considerations
- Load Balancing Strategies
Architectural Patterns
- Monolithic vs. Microservices Architecture
- Layered Architecture
- Event-Driven Architecture
- Serverless Architecture
- Model-View-Controller (MVC) Pattern
- CQRS (Command Query Responsibility Segregation)
Scaling Strategies
- Vertical Scaling vs. Horizontal Scaling
- Sharding and Partitioning
- Data Replication and Consistency Models
- Load Balancing Strategies
- CDN and Edge Computing
Database Design in HLD
- SQL vs. NoSQL Databases
- CAP Theorem and its Impact on System Design
- Database Indexing and Query Optimization
- Database Sharding and Partitioning
- Replication Strategies
API Design and Communication
Caching Strategies
- Types of Caching
- Cache Invalidation Strategies
- Redis vs. Memcached
- Cache-Aside, Write-Through, and Write-Behind Strategies
Message Queues and Event-Driven Systems
- Kafka vs. RabbitMQ vs. SQS
- Pub-Sub vs. Point-to-Point Messaging
- Handling Asynchronous Workloads
- Eventual Consistency in Distributed Systems
Security in System Design
Observability and Monitoring
- Logging Strategies (ELK Stack, Prometheus, Grafana)
- API Security Best Practices
- Secure Data Storage and Access Control
- DDoS Protection and Rate Limiting
Real-World System Design Case Studies
- Distributed locking (Locking and its Types)
- Memory leaks and Out of memory issues
- HLD of YouTube
- HLD of WhatsApp
System Design Interview Questions
- Adobe System Design Interview Questions
- Top Atlassian System Design Interview Questions
- Top Amazon System Design Interview Questions
- Top Microsoft System Design Interview Questions
- Top Meta (Facebook) System Design Interview Questions
- Top Netflix System Design Interview Questions
- Top Uber System Design Interview Questions
- Top Google System Design Interview Questions
- Top Apple System Design Interview Questions
- Top Airbnb System Design Interview Questions
- Top 10 System Design Interview Questions
- Mobile App System Design Interview Questions
- Top 20 Stripe System Design Interview Questions
- Top Shopify System Design Interview Questions
- Top 20 System Design Interview Questions
- Top Advanced System Design Questions
- Most-Frequented System Design Questions in Big Tech Interviews
- What Interviewers Look for in System Design Questions
- Critical System Design Questions to Crack Any Tech Interview
- Top 20 API Design Questions for System Design Interviews
- Top 10 Steps to Create a System Design Portfolio for Developers
Data Structures and Algorithms
- Introduction to Data Structures and Algorithms
- Time and Space Complexity Analysis
- Big-O, Big-Theta, and Big-Omega Notations
- Recursion and Backtracking
- Divide and Conquer Algorithm
- Dynamic Programming: Memoization vs. Tabulation
- Greedy Algorithms and Their Use Cases
- Understanding Arrays: Types and Operations
- Linear Search vs. Binary Search
- Sorting Algorithms: Bubble, Insertion, Selection, and Merge Sort
- QuickSort: Explanation and Implementation
- Heap Sort and Its Applications
- Counting Sort, Radix Sort, and Bucket Sort
- Hashing Techniques: Hash Tables and Collisions
- Open Addressing vs. Separate Chaining in Hashing
- DSA Questions for Beginners
- Advanced DSA Questions for Competitive Programming
- Top 10 DSA Questions to Crack Your Next Coding Test
- Top 50 DSA Questions Every Programmer Should Practice
- Top Atlassian DSA Interview Questions
- Top Amazon DSA Interview Questions
- Top Microsoft DSA Interview Questions
- Top Meta (Facebook) DSA Interview Questions
- Netflix DSA Interview Questions and Preparation Guide
- Top 20 DSA Interview Questions You Need to Know
- Top Uber DSA Interview Questions and Solutions
- Google DSA Interview Questions and How to Prepare
- Airbnb DSA Interview Questions and How to Solve Them
- Mobile App DSA Interview Questions and Solutions
DSA Interview Questions
- DSA Questions for Beginners
- Advanced DSA Questions for Competitive Programming
- Top 10 DSA Questions to Crack Your Next Coding Test
- Top 50 DSA Questions Every Programmer Should Practice
- Top Atlassian DSA Interview Questions
- Top Amazon DSA Interview Questions
- Top Microsoft DSA Interview Questions
- Top Meta (Facebook) DSA Interview Questions
- Netflix DSA Interview Questions and Preparation Guide
- Top 20 DSA Interview Questions You Need to Know
- Top Uber DSA Interview Questions and Solutions
- Google DSA Interview Questions and How to Prepare
- Airbnb DSA Interview Questions and How to Solve Them
- Mobile App DSA Interview Questions and Solutions
Top 30 Operating System Interview Questions (With Answers)
Preparing for a tech interview can feel overwhelming, especially when operating systems (OS) come into play—they’re the backbone of how computers manage resources and run applications. Whether you’re aiming for a software engineering role or a systems admin position, nailing OS concepts shows you understand the fundamentals of computing. In this post, we’ll dive deep into 30 high-quality OS interview questions that have been actually asked in real interviews at companies like Google, Amazon, and other FAANG giants. These aren’t just theoretical; they’re drawn from common experiences shared by candidates on platforms like LeetCode, Glassdoor, and tech forums. We’ll break them down with detailed explanations, examples, and tips to help you respond confidently. Plus, to stay ahead with free course updates and resources on topics like this, sign up for our newsletter and get exclusive access to the latest learning materials.
If you’re brushing up on related skills, consider exploring structured courses to solidify your foundation. For instance, mastering data structures and algorithms often complements OS knowledge—check out our comprehensive DSA course for hands-on practice.
Why Operating Systems Matter in Interviews
Operating systems are crucial because they handle everything from process management to memory allocation, ensuring software runs efficiently. Interviewers ask these questions to gauge your understanding of how systems work under the hood, especially in scenarios involving performance, concurrency, and resource optimization. Based on reports from real interviews, questions often focus on processes, threads, memory, and synchronization—areas where mistakes can lead to system crashes or inefficiencies.
In FAANG interviews, OS questions test not just rote knowledge but your ability to apply concepts to real-world problems, like debugging a deadlock or optimizing virtual memory. Expect a mix of basic definitions and advanced troubleshooting. Let’s start with the basics and build up.
Basic OS Interview Questions
These foundational questions are often the starting point in interviews, helping interviewers assess your core knowledge. They’re commonly asked in entry-level or general tech roles.
1. What is an operating system, and what are its main functions?
An operating system (OS) is system software that manages computer hardware and software resources, providing common services for computer programs. Think of it as the middleman between you and the hardware—it ensures everything runs smoothly without you needing to worry about low-level details.
Key functions include:
- Process Management: Creating, scheduling, and terminating processes.
- Memory Management: Allocating and deallocating memory space.
- File System Management: Handling file creation, deletion, and access.
- Device Management: Controlling hardware like printers and disks.
- Security and Protection: Preventing unauthorized access.
For example, when you open a web browser, the OS allocates memory and CPU time to it. Without an OS, you’d have to manually manage these resources, which is impractical. In interviews, emphasize how the OS abstracts hardware complexities for users.
2. What is the difference between a process and a thread?
This is a classic question asked in nearly every OS interview, as it tests your grasp of concurrency.
- Process: An independent program in execution with its own memory space, resources, and address space. Processes are heavyweight and isolated, meaning they don’t share memory directly.
- Thread: A lightweight subunit of a process that shares the same memory space and resources as other threads in the process. Threads are faster to create and switch between but can lead to issues like race conditions if not synchronized.
Aspect | Process | Thread |
Memory | Separate address space | Shared address space |
Creation Time | Slower (forking) | Faster |
Communication | IPC (e.g., pipes, sockets) | Direct (shared variables) |
Overhead | High | Low |
Example: In a web server, multiple threads handle client requests within one process, improving efficiency. Tip: Mention that threads are ideal for tasks like I/O-bound operations.
3. What is a kernel, and what are its types?
The kernel is the core component of an OS that manages system resources and acts as a bridge between applications and hardware. It’s always in memory and handles low-level tasks like process scheduling and interrupt handling.
Types:
- Monolithic Kernel: All OS services (file system, device drivers) run in kernel space for high performance but can be less stable (e.g., Linux).
- Microkernel: Only essential services in kernel space; others in user space for better modularity and security (e.g., MINIX).
- Hybrid Kernel: Combines both for balance (e.g., Windows NT).
In real interviews at companies like Amazon, you might be asked how a monolithic kernel impacts system crashes—since everything is interconnected, one fault can bring down the whole system.
4. Explain virtual memory and how it works.
Virtual memory allows a computer to use more memory than physically available by temporarily transferring data to disk storage. It creates an illusion of a large contiguous memory space.
How it works:
- Memory is divided into pages (virtual) and frames (physical).
- When a program needs data not in RAM, a page fault occurs, and the OS swaps it from disk (paging) or segments.
- Benefits: Multitasking, efficient memory use; Drawbacks: Thrashing if overused.
Example: Running multiple apps on a 8GB RAM machine—virtual memory uses SSD as extension. For deeper prep, our crash course covers memory management techniques.

5. What is thrashing, and how can it be prevented?
Thrashing happens when a system spends more time swapping pages in and out of memory (page faults) than executing processes, leading to performance degradation.
Causes: High multiprogramming degree or insufficient RAM.
Prevention:
- Use better page replacement algorithms (e.g., LRU).
- Increase physical memory.
- Limit the number of processes.
In FAANG interviews, relate this to real scenarios like server overloads.
Intermediate OS Interview Questions
These build on basics, focusing on practical applications. They’re common in mid-level roles where you might discuss optimization.
6. What are scheduling algorithms? Explain the main types.
Scheduling algorithms decide which process gets CPU time. They’re key for efficiency.
Types:
- FCFS (First Come First Served): Simple queue; non-preemptive, can cause convoy effect.
- SJF (Shortest Job First): Prioritizes shortest burst time; optimal but needs prediction.
- Round Robin (RR): Time-sliced; fair, good for time-sharing.
- Priority Scheduling: Based on priority; can lead to starvation (fix with aging).
Algorithm | Preemptive? | Starvation Risk | Use Case |
FCFS | No | Low | Batch systems |
SJF | Can be | High | Short jobs |
RR | Yes | Low | Interactive |
Example: RR is used in Unix for fair CPU allocation.
7. What is a deadlock? Explain the necessary conditions.
A deadlock is when two or more processes wait indefinitely for resources held by each other.
Necessary conditions (Coffman conditions):
- Mutual Exclusion: Resources can’t be shared.
- Hold and Wait: Processes hold resources while waiting.
- No Preemption: Resources can’t be forcibly taken.
- Circular Wait: Processes form a cycle.
Prevention: Avoid one condition, e.g., use resource allocation graphs. In interviews, draw a diagram to explain.
8. What is paging, and how does it differ from segmentation?
Paging divides memory into fixed-size pages; non-contiguous allocation reduces fragmentation.
Segmentation divides into variable-size segments (e.g., code, data); logical but can cause external fragmentation.
Feature | Paging | Segmentation |
Size | Fixed | Variable |
Fragmentation | Internal | External |
Protection | Page-level | Segment-level |
Both use virtual memory.
9. Explain inter-process communication (IPC) methods.
IPC allows processes to exchange data.
Methods:
- Pipes: Unidirectional, for related processes.
- Message Queues: Asynchronous messaging.
- Shared Memory: Fastest, but needs synchronization.
- Semaphores: For signaling and locking.
- Sockets: For network communication.
Example: In web dev, shared memory speeds up data sharing. Pair this with our web development course for practical examples.
10. What is RAID, and what are its levels?
RAID combines multiple disks for performance/redundancy.
Levels:
- RAID 0: Striping, fast but no redundancy.
- RAID 1: Mirroring, high reliability.
- RAID 5: Striping with parity, balanced.
Used in servers for data protection.
Advanced OS Interview Questions
These probe deeper, often in senior or specialized interviews, focusing on edge cases and optimizations.
11. What is demand paging?
Demand paging loads pages into memory only when needed (lazy loading), reducing I/O. A page fault triggers disk access. Benefits: Efficient for large programs.
12. Explain page replacement algorithms.
When memory is full, these decide which page to swap out:
- FIFO: Oldest first; simple but inefficient (Belady’s anomaly).
- LRU (Least Recently Used): Evicts least used; effective but overhead-heavy.
- Optimal: Theoretical, replaces page not used longest.
LRU is common in modern OS like Linux.
13. What is a semaphore, and how does it prevent race conditions?
A semaphore is a variable for synchronization, using wait() and signal() operations.
Types: Binary (mutex) for mutual exclusion, Counting for limited resources.
Prevents race conditions by ensuring only one process accesses shared resources at a time.
14. Describe the differences between symmetric and asymmetric multiprocessing.
- Symmetric (SMP): All processors equal, share OS (e.g., modern multicore).
- Asymmetric: Master-slave; one controls others.
SMP is scalable but complex for synchronization.
15. What is a real-time operating system (RTOS)?
RTOS guarantees tasks complete within deadlines. Types: Hard (strict timings, e.g., medical devices), Soft (flexible, e.g., multimedia).
Used in embedded systems.
16. Explain the Banker’s algorithm for deadlock avoidance.
It simulates resource allocation to check if it’s safe (no deadlock). Uses need, available, max matrices.
Safe if a sequence exists where all processes can finish.
17. What is fragmentation? Types and solutions.
Fragmentation wastes memory:
- Internal: In fixed partitions.
- External: In variable, solved by compaction.
Paging reduces external fragmentation.

18. What are system calls? Give examples.
System calls are interfaces to kernel services, e.g., fork() for process creation, open() for files.
They switch from user to kernel mode.
19. Explain overlays in memory management.
Overlays divide programs into segments loaded as needed, useful for limited memory systems.
20. What is a context switch?
Switching CPU from one process/thread to another, saving/restoring state (registers, PC).
Overhead affects performance in multitasking.
21. Describe priority inversion and how to handle it.
Low-priority task holds resource needed by high-priority, causing delay. Solved by priority inheritance (temporarily boost low-priority).
22. What is the difference between multitasking and multiprocessing?
- Multitasking: Single CPU switches tasks (time-sharing).
- Multiprocessing: Multiple CPUs run tasks parallelly.
Multiprocessing boosts throughput.
23. Explain file system types in OS.
- FAT32: Simple, compatible but limited.
- NTFS: Advanced, supports encryption (Windows).
- ext4: Journaling for reliability (Linux).
Choose based on needs like security.
24. What is a zombie process?
A process that finished but entry remains in process table until parent reads status (via wait()).
Can leak resources if not handled.
25. Describe the role of the shell in an OS.
The shell is a command interpreter (e.g., Bash) that executes user commands, scripts, and interacts with the kernel.
26. What is swapping in OS?
Swapping moves entire processes to/from disk to free RAM. Less efficient than paging but used in older systems.
27. Explain critical section and how to protect it.
Code segment accessing shared resources. Protected using mutex, semaphores, or monitors to ensure mutual exclusion.
28. What are orphans in processes?
Child processes whose parent terminates first. Adopted by init process (PID 1) in Unix.

29. Describe cache memory and its levels.
Cache is fast memory between CPU and RAM. Levels: L1 (fastest, smallest), L2, L3 (shared).
Improves access speed via locality principles.
30. What is a distributed operating system?
Manages networked computers as a single system (e.g., Google Spanner). Handles transparency, fault tolerance.
Challenges: Communication overhead, consistency.
Tips for Acing OS Interviews
Practice explaining concepts with examples—interviewers love that. Simulate scenarios: “How would you debug a high page fault rate?” Combine OS prep with related areas like system design; our master DSA, web dev, and system design course integrates them seamlessly. For data-heavy roles, explore data science courses to see how OS impacts big data processing.
Ready to level up? Review these questions, code some examples (e.g., thread synchronization in Python), and you’ll be set. What’s your toughest OS question so far? Share in the comments, and don’t forget to sign up for updates!
Frequently Asked Questions (FAQs)
What are the most common OS interview questions for freshers?
Freshers often face basics like process vs. thread, virtual memory, and scheduling algorithms to test foundational knowledge.
How do OS concepts apply to web development?
In web dev, OS handles concurrency (threads for requests) and resource management—key for scalable apps.
What OS topics are crucial for FAANG interviews?
Focus on concurrency, deadlocks, virtual memory, and system calls, as they’re tied to performance in large-scale systems.
How can I practice OS interview questions?
Use platforms like LeetCode or simulate with mock interviews; pair with courses on DSA and system design.

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