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

1. Discuss the concepts and challenges associated with maintaining data privacy and security in distributed databases, particularly in environments with diverse access control requirements.

Data Replication

Query Optimization

Data Encryption

Consistency Model

2. Explore the challenges and benefits of implementing hybrid database architectures that combine both centralized and distributed components, and discuss scenarios where this approach is advantageous.

Consistency Model

Query Optimization

Load Balancing

Handling Network Failures

3. What is the purpose of the two-phase commit protocol in distributed databases?

Ensuring Data Isolation

Achieving Atomicity

Handling Network Failures

Optimizing Query Performance

4. Discuss the challenges and benefits of implementing distributed transactions in scenarios with high concurrency and data contention in distributed databases.

Data Encryption

Ensuring Data Isolation

Query Execution

Transaction Management

5. Which protocol is commonly used for communication between nodes in a distributed database?

HTTP

FTP

TCP/IP

SMTP

6. Explore the trade-offs between consistency and latency in distributed databases, especially in scenarios with geographically distributed nodes and varying network conditions.

Network Latency

Data Encryption

Query Optimization

Load Balancing

7. 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

8. In distributed databases, elaborate on the challenges and strategies associated with achieving a globally consistent view of data across multiple nodes.

Network Latency

Data Encryption

Query Optimization

Load Balancing

9. Explain the principles and challenges of achieving quorum-based consistency in distributed databases, and analyze its impact on system reliability and performance.

Consistency Model

Query Optimization

Load Balancing

Handling Network Failures

10. What is a distributed index in the context of distributed databases?

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

A distributed index is irrelevant in distributed databases.

A distributed index speeds up query performance by facilitating faster data retrieval across multiple nodes.

A distributed index only applies to vertical partitioning.

11. What is the purpose of the 'MapReduce' paradigm in distributed databases?

Data Replication

Query Optimization

Data Encryption

Load Balancing

12. What is the role of consensus algorithms in distributed databases?

Consensus algorithms have no impact on distributed databases.

Consensus algorithms are only relevant in centralized databases.

Consensus algorithms ensure that all nodes in a distributed database agree on a specific value or decision.

Consensus algorithms only apply to vertical partitioning.

13. 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.

14. What is ACID in the context of distributed databases?

A chemical compound.

An acronym for Atomicity, Consistency, Isolation, and Durability – ensuring reliability in database transactions.

A programming language.

A type of distributed database.

15. What is the significance of a distributed hash table (DHT) in distributed databases?

Load Balancing

Data Encryption

Query Optimization

Data Indexing

16. 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.

17. 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

18. Discuss the concept of eventual consistency in distributed databases.

Eventual consistency ensures immediate synchronization of data across all nodes in a distributed database.

Eventual consistency prioritizes immediate consistency over time.

Eventual consistency allows temporary inconsistencies that will be resolved in the future.

Eventual consistency is irrelevant in distributed databases.

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

Relational Model

Hierarchical Model

Key-Value Model

Object-Oriented Model

20. Differentiate between horizontal and vertical partitioning in distributed databases.

Horizontal partitioning involves dividing a database into vertical sections.

Vertical partitioning involves dividing a database into horizontal sections.

Horizontal partitioning divides a table into rows, while vertical partitioning divides it into columns.

Horizontal and vertical partitioning are interchangeable terms.

Distributed Databases MCQ Test 4