System Design Interview Prep: Your Last-Minute Survival Guide
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Overview of System Design Interviews
Multiple-Choice Questions for System Design Interview
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Design Overview
Key Components Explained
- User Interface (WebApp): The front-end platform where users engage with the service, including functionalities like photo and video uploads, liking, commenting, and browsing feeds and stories.
- API Gateway: Manages incoming requests and directs them to the appropriate backend services.
- Load Balancer: Distributes traffic among multiple backend service instances to maintain availability and scalability.
- Authentication Service: Oversees user logins, registrations, and credential validation.
- User Service: Manages user data and interactions, including profiles and follow/unfollow actions, while caching frequently accessed data.
- Media Service: Handles the upload, retrieval, and storage of media files, caching frequently accessed media.
- Comment Service: Manages post comments, enabling creation, retrieval, and deletion, while caching common comments.
- Notification Service: Sends real-time notifications regarding activities like new likes and comments, caching notifications for quick access.
- Feed Service: Generates and retrieves user feeds by aggregating posts from followed users and recommendations, caching results for fast access.
- Search Service: Offers search capabilities across the platform to find users, posts, and hashtags, utilizing an optimized search index.
- Story Service: Manages ephemeral user stories that disappear after 24 hours, caching frequently accessed stories.
- User Database (UserDB): Stores user-related data, such as profiles and connections.
- Media Database (MediaDB): Contains metadata for media files.
- Blob Storage: Dedicated to large media files like photos and videos.
- Comment Database (CommentDB): Retains comments on posts.
- Notification Database (NotificationDB): Holds notifications for users.
- Feed Database (FeedDB): Stores precomputed user feeds to enhance retrieval speeds.
- Search Index: Optimized index for rapid search queries across user data and posts.
- Story Database (StoryDB): Maintains story-related data.
Caching Layers
- MediaCache: Stores frequently accessed media files.
- CommentCache: Caches commonly accessed comments.
- NotificationCache: Enables quick access to notifications.
- FeedCache: Stores generated feeds for improved retrieval speed.
- StoryCache: Caches frequently accessed stories.
- (Optional) UserCache: Caches often accessed user data.
Managing Large Data Volumes
- Sharding: Distributes data across multiple databases to enhance performance.
- Replication: Copies data across servers for high availability and fault tolerance.
- Partitioning: Divides large tables to optimize performance and manage data growth.
Efficient Media Storage and Retrieval
- CDN Integration: Utilizes a Content Delivery Network (CDN) to cache and deliver media files, reducing latency.
- Blob Storage: Stores media files in scalable solutions like AWS S3 or Google Cloud Storage.
Real-Time Notifications
- Push Notifications: Employs WebSockets or push services for real-time updates.
- Polling: Implements efficient polling for updates without overwhelming servers.
Efficient Feed Generation
- Precomputation: Prepares user feeds in advance to minimize generation time.
- Ranking Algorithms: Prioritizes posts based on relevance and user interactions.
Search Functionality
- Full-Text Search: Leverages search engines to facilitate comprehensive search capabilities.
- Indexing: Continuously updates the search index for quick queries.
User Roles and Permissions
- Role-Based Access Control (RBAC): Defines roles with specific permissions to control feature access.
- Permission Checks: Ensures users can only perform authorized actions.
Storage Optimizations
- Caching: Implements caching systems to reduce database load and enhance response times.
- Data Compression: Compresses data to lower storage costs.
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Questions
1. What is the primary function of Instagram?
- File Storage
- Social Networking
- Online Shopping
- Cloud Computing
> Answer: B > Explanation: Instagram primarily serves as a social networking platform for photo and video sharing.
2. Which database is most suitable for storing user profiles on Instagram?
- SQL
- NoSQL
- Flat File
- XML
> Answer: A > Explanation: SQL databases are best for structured data like user profiles.
3. What data model is best for Instagram's feed?
- Relational Model
- Graph Model
- Document Model
- Key-Value Model
> Answer: C > Explanation: A document model, often with NoSQL databases, is ideal for the diverse data in Instagram's feed.
4. Which technology is commonly used to cache frequently accessed data in Instagram?
- Redis
- MySQL
- MongoDB
- Hadoop
> Answer: A > Explanation: Redis is favored for caching due to its high performance.
5. How does Instagram ensure high availability of its services?
- Single Data Center
- Multiple Data Centers
- Backup Tapes
- Local Servers
> Answer: B > Explanation: Instagram utilizes multiple data centers for high availability.
6. Which component handles user authentication?
- Frontend Server
- Authentication Service
- Database
- Caching Layer
> Answer: B > Explanation: The Authentication Service manages user login and authentication.
7. What role does a CDN play for Instagram?
- Store User Data
- Deliver Content Quickly
- Handle Authentication
- Manage Databases
> Answer: B > Explanation: A CDN accelerates content delivery by caching it across distributed servers.
8. Which storage solution does Instagram use for media?
- Local Disk
- Amazon S3
- SQL Database
- Redis
> Answer: B > Explanation: Instagram commonly employs Amazon S3 for storing media files.
9. What method does Instagram use to manage high read request volumes?
- Load Balancer
- Write Optimized Database
- Single Server
- Batch Processing
> Answer: A > Explanation: Load balancers distribute requests to multiple servers, handling high read demands.
10. How does Instagram maintain data consistency across servers?
- Eventual Consistency
- Strong Consistency
- Local Consistency
- No Consistency
> Answer: A > Explanation: Eventual consistency allows updates to propagate to all nodes over time.
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Conclusion
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