Distributed Databases MCQ Test: Distributed Databases MCQs - Practice Questions
1. What is the purpose of the two-phase commit protocol in distributed databases?
2. What is the role of a distributed coordinator in a distributed database system?
3. Examine the impact of node failures on the consistency and availability of distributed databases, and propose strategies for fault detection and recovery.
4. What is the purpose of replication in distributed databases?
5. Discuss the concepts and challenges associated with maintaining data privacy and security in distributed databases, particularly in environments with diverse access control requirements.
6. What is the purpose of a distributed log in a distributed database system?
7. How does the 'Raft consensus algorithm' differ from the 'Paxos algorithm' in terms of simplicity and usability in distributed systems?
8. Elaborate on the role of 'vector clocks' in tracking causality and achieving consistency in distributed databases, and discuss scenarios where they prove beneficial.
9. In the context of distributed databases, explain the principles and challenges of achieving data partitioning for massive datasets, and discuss the impact on query performance.
10. How does data replication contribute to fault tolerance in distributed databases?
11. Explain the role of a distributed lock in maintaining data integrity.
12. Discuss the challenges and solutions related to achieving atomicity in distributed transactions across multiple nodes, considering scenarios of partial failures.
13. What challenges does the 'CAP theorem' pose for distributed databases?
14. What is the purpose of the 'MapReduce' paradigm in distributed databases?
15. How does the 'Vector Clock' algorithm help maintain causality in distributed databases?
16. What is the role of a distributed database coordinator?
17. What challenges are associated with achieving global consistency in distributed databases?
18. What is a distributed transaction?
19. What is the primary goal of distributed database systems?
20. Differentiate between horizontal and vertical partitioning in distributed databases.
21. Why is maintaining data consistency challenging in distributed databases?
22. What is the role of a 'distributed transaction' in database systems?
23. What is a distributed lock in the context of database systems?
24. Explain the concept of data partitioning in distributed databases.
25. What is the significance of the two-phase commit protocol in distributed databases?
26. Why is partitioning important in distributed databases?
27. How does the 'Quorum-based Replication' approach enhance the reliability and performance of distributed databases compared to traditional replication methods?
28. Discuss the challenges and benefits of implementing distributed transactions in scenarios with high concurrency and data contention in distributed databases.
29. Discuss the challenges associated with load balancing in large-scale distributed databases and propose strategies to optimize resource allocation and utilization.
30. Explain the concept of 'anti-entropy' in distributed databases and its role in maintaining consistency and reliability in a decentralized environment.
31. Explore the challenges and benefits of implementing blockchain technology in distributed databases, and discuss its potential impact on data integrity and decentralization.
32. What is Byzantine Fault Tolerance, and how does it address malicious attacks in distributed systems? Provide examples of its application in real-world scenarios.
33. Explore the impact of network partitions on the availability and consistency of distributed databases, and propose strategies to mitigate these effects.
34. Explain the term 'replica consistency' in the context of distributed databases.
35. Discuss the role of machine learning algorithms in optimizing performance and resource allocation in large-scale distributed databases, and analyze their potential impact on system efficiency.
36. Explore the trade-offs between consistency and latency in distributed databases, especially in scenarios with geographically distributed nodes and varying network conditions.
37. What is the primary advantage of using distributed databases over centralized databases?
38. Explain the concept of consistency in distributed databases.
39. Discuss the principles and challenges of implementing distributed caching mechanisms in large-scale distributed database systems, and analyze their impact on query performance.
40. Why is it essential for distributed databases to support ACID properties?