Splendid Distributed Databases Test - 79+ MCQs: Distributed Databases test: Assess Your Knowledge with Challenging Questions and Answers

1. Discuss the principles and challenges of implementing distributed caching mechanisms in large-scale distributed database systems, and analyze their impact on query performance.

Data Replication

Query Optimization

Load Balancing

Consistency Model

2. What is a distributed transaction?

A transaction that occurs only on weekends.

A transaction involving multiple databases that must be treated as a single, indivisible unit.

A transaction that is limited to a single server.

A transaction that is never committed to the database.

3. What is a distributed lock in the context of database systems?

Data Encryption

Concurrency Control

Data Replication

Query Optimization

4. What is the primary advantage of using distributed databases over centralized databases?

Distributed databases have slower performance than centralized databases.

Distributed databases are harder to manage.

Distributed databases provide better fault tolerance and scalability.

Centralized databases are more secure than distributed databases.

5. What is the primary goal of distributed database systems?

Improved Performance

Data Redundancy

Centralized Control

Decreased Scalability

6. Explain the term 'replica consistency' in the context of distributed databases.

Replica consistency refers to having different data on each replica in a distributed database.

Replica consistency is irrelevant in distributed databases.

Replica consistency ensures that all replicas in a distributed database have the same data at all times.

Replica consistency only applies to horizontal partitioning.

7. What is the role of a distributed lock manager in a distributed database system?

A distributed lock manager is used for decorative purposes in distributed databases.

A distributed lock manager is irrelevant in distributed databases.

A distributed lock manager ensures that transactions have exclusive access to resources, preventing conflicts.

A distributed lock manager only applies to centralized databases.

8. Explain the concept of distributed deadlock detection and resolution in the context of distributed databases.

Optimizing Query Performance

Data Replication

Deadlock Avoidance

Handling Network Failures

9. Discuss the trade-offs between synchronous and asynchronous replication in the context of ensuring fault tolerance in distributed databases.

Ensuring Data Redundancy

Optimizing Query Performance

Load Balancing

Handling Network Failures

10. What is sharding in the context of distributed databases?

Data Encryption

Data Partitioning

Data Compression

Data Indexing

11. Explain the role of a distributed query processor in distributed databases.

A distributed query processor is responsible for processing queries in a centralized database.

A distributed query processor is irrelevant in distributed databases.

A distributed query processor ensures that queries are processed on a single node for consistency.

A distributed query processor coordinates and optimizes queries across multiple nodes in a distributed database.

12. Elaborate on the role of 'vector clocks' in tracking causality and achieving consistency in distributed databases, and discuss scenarios where they prove beneficial.

Concurrency Control

Query Optimization

Data Encryption

Logical Clock Synchronization

13. Why is partitioning important in distributed databases?

Partitioning has no impact on distributed databases.

Partitioning ensures that a database is only accessible to a single user.

Partitioning helps distribute the workload and improve performance in distributed databases.

Partitioning is only applicable to centralized databases.

14. Which data storage model is commonly used in distributed databases?

Relational Model

Hierarchical Model

Key-Value Model

Object-Oriented Model

15. Explore the impact of network partitions on the availability and consistency of distributed databases, and propose strategies to mitigate these effects.

Consistency Model

Data Encryption

Query Optimization

Load Balancing

16. Define the term 'fault tolerance' in the context of distributed databases.

Fault tolerance refers to the intentional introduction of errors in a database.

Fault tolerance is irrelevant in distributed databases.

Fault tolerance is the ability of a system to continue operating even in the presence of hardware or software failures.

Fault tolerance only applies to centralized databases.

17. Why are distributed databases used?

To make databases more difficult to manage.

To reduce data redundancy and improve fault tolerance.

To limit access to the database.

To make databases slower.

18. What is the role of the 'Paxos algorithm' in achieving consensus in distributed databases, and why is it challenging?

Load Balancing

Consensus Protocol

Data Encryption

Query Optimization

19. Elaborate on the principles and challenges of achieving geo-replication in distributed databases, and analyze its impact on system performance and data consistency.

Data Replication

Query Optimization

Load Balancing

Consistency Model

20. Which factor is critical for ensuring fault tolerance in distributed databases?

Data Compression

Data Replication

Data Encryption

Data Indexing

21. Define the term 'isolation' in the context of distributed databases.

Isolation is the process of isolating a distributed database from external access.

Isolation is irrelevant in distributed databases.

Isolation refers to the independence of transactions, ensuring they do not interfere with each other.

Isolation only applies to vertical partitioning.

22. How does data replication contribute to fault tolerance in distributed databases?

Ensuring Data Redundancy

Optimizing Query Performance

Load Balancing

Handling Network Failures

23. What is the role of a distributed database coordinator?

Data Storage

Query Execution

Data Distribution

Transaction Management

24. Why is load balancing important in distributed databases?

Load balancing has no impact on distributed databases.

Load balancing helps distribute the workload evenly across multiple servers, preventing performance bottlenecks.

Load balancing only applies to centralized databases.

Load balancing slows down database performance.

25. What is the role of a 'distributed transaction' in database systems?

Data Encryption

Ensuring Data Isolation

Query Execution

Transaction Management

26. Examine the principles and challenges of achieving elasticity and scalability in distributed databases, and propose strategies for dynamically adapting to changing workloads and data volumes.

Data Replication

Query Optimization

Load Balancing

Consistency Model

27. 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.

Data Replication

Query Optimization

Load Balancing

Consistency Model

28. Discuss the challenges associated with load balancing in large-scale distributed databases and propose strategies to optimize resource allocation and utilization.

Data Replication

Query Optimization

Load Balancing

Consistency Model

29. What is the purpose of a distributed log in a distributed database system?

A distributed log is used for decorative purposes in distributed databases.

A distributed log is irrelevant in distributed databases.

A distributed log speeds up query performance by recording all database activities.

A distributed log only applies to centralized databases.

30. What is a distributed database?

A database that is only accessible to a single user.

A database that is stored on a single computer.

A database that is spread across multiple locations or servers.

A database that contains only text data.

Distributed Databases MCQ Test 3