Distributed Databases MCQ Test: Distributed Databases MCQs - Practice Questions
1. What is the significance of a distributed hash table (DHT) in distributed databases?
2. What is the role of a 'distributed transaction' in database systems?
3. Explain the role of a distributed query processor in distributed databases.
4. What is a distributed transaction?
5. Explore the impact of network partitions on the availability and consistency of distributed databases, and propose strategies to mitigate these effects.
6. Explore the challenges and benefits of implementing blockchain technology in distributed databases, and discuss its potential impact on data integrity and decentralization.
7. What is the purpose of replication in distributed databases?
8. How does eventual consistency differ from strong consistency in distributed databases?
9. In distributed databases, what role does the 'Gossip Protocol' play?
10. Which protocol is commonly used for communication between nodes in a distributed database?
11. Discuss the trade-offs between synchronous and asynchronous replication in the context of ensuring fault tolerance in distributed databases.
12. What is Byzantine Fault Tolerance, and how does it address malicious attacks in distributed systems? Provide examples of its application in real-world scenarios.
13. Explain the concept of 'anti-entropy' in distributed databases and its role in maintaining consistency and reliability in a decentralized environment.
14. Examine the impact of node failures on the consistency and availability of distributed databases, and propose strategies for fault detection and recovery.
15. Which data storage model is commonly used in distributed databases?
16. What is CAP theorem in the context of distributed databases?
17. Explain the term 'replica consistency' in the context of distributed databases.
18. Elaborate on the role of 'vector clocks' in tracking causality and achieving consistency in distributed databases, and discuss scenarios where they prove beneficial.
19. Discuss the challenges and benefits of implementing distributed transactions in scenarios with high concurrency and data contention in distributed databases.
20. What is ACID in the context of distributed databases?
21. Explain the concept of consistency in distributed databases.
22. Why is maintaining data consistency challenging in distributed databases?
23. Define the term 'isolation' in the context of distributed databases.
24. Discuss the advantages and challenges of implementing Multi-Version Concurrency Control (MVCC) in distributed databases, particularly in scenarios with high transaction rates.
25. Explore the trade-offs between consistency and latency in distributed databases, especially in scenarios with geographically distributed nodes and varying network conditions.
26. Discuss the challenges associated with load balancing in large-scale distributed databases and propose strategies to optimize resource allocation and utilization.
27. Explain the concept of data partitioning in distributed databases.
28. Explain the concept of distributed deadlock detection and resolution in the context of distributed databases.
29. What is a distributed database?
30. Discuss the principles and challenges of implementing distributed caching mechanisms in large-scale distributed database systems, and analyze their impact on query performance.