Mastering Distributed Hash Tables (DHT)
Explore the core concepts, applications, and benefits of DHT in distributed systems with this medium-difficulty quiz.
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Quiz Questions & Answers
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Question 1: What is the primary purpose of a Distributed Hash Table (DHT) in networked systems?
To manage user authentication in peer-to-peer networks
To centralize data storage on a single server
To encrypt data during transmission between nodes
To provide a decentralized method for storing and retrieving key-value pairs across multiple nodes
Question 2: In a DHT, how are keys typically mapped to nodes for efficient data lookup?
Through random assignment to the nearest physical node
Using a linear search across all nodes
By hashing the key and routing to the node responsible for that hash range
Via a central coordinator that assigns keys
Question 3: What is a key advantage of using DHT over traditional centralized hash tables in distributed applications?
Simpler implementation for small-scale systems
Faster single-node processing speeds
Lower memory requirements on individual nodes
Improved scalability and resilience to node failures without a single point of failure
Question 4: In a peer-to-peer file-sharing scenario, how does a DHT facilitate discovering file locations without a central server?
Relying on email notifications from file owners
Peers query the DHT for the hash of the file, routing to nodes that store location metadata
Using GPS coordinates to locate nearby peers
By broadcasting queries to all peers simultaneously
Question 5: What consequence arises if node churn (frequent joining/leaving) is high in a DHT-based system?
Data becomes permanently lost across the network
Increased routing overhead and temporary lookup inconsistencies until stabilization
All keys are reassigned to a backup server
The system automatically switches to centralized mode
Question 6: Which common myth about DHTs is incorrect, and why?
DHTs require constant internet connectivity for all nodes
DHTs eliminate the need for any hashing functions
DHTs are only suitable for small networks; they don't scale well
DHTs provide built-in data encryption
Question 7: When evaluating a scenario where a DHT is used for decentralized storage, what framework principle ensures even load distribution?
Random key assignment without hashing
Consistent hashing to minimize data movement when nodes join or leave
Fixed partitions based on node IDs
Centralized load balancing algorithms
Question 8: In applying DHT to a blockchain network, what mindset shift does it encourage for developers regarding data management?
Prioritizing local caching over global distribution
Focusing on single-leader replication for consistency
Relying on external databases for key storage
Embracing decentralization to distribute trust and avoid bottlenecks in transaction lookups