Parallel Database Systems Questions and Answers
Parallel Database Systems are a vital part of modern data management where data processing tasks are distributed across multiple processors for efficiency. These systems enhance performance, scalability, and fault tolerance in handling large datasets. In technical interviews and database-related exams, programming questions and answers on parallel query execution, data partitioning, and optimization are common. Understanding how parallelism improves query response time helps in designing faster, high-performance systems. This topic is frequently covered in Accenture, IBM, and Cognizant placement exams. Strengthen your preparation by practicing database programming questions with detailed explanations and practical examples.
Parallel Database Systems
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25 questions
1. What is a parallel database system mainly designed to improve?
- Database size
- Query performance
- Number of tables
- Data duplication
2. Parallelism in databases helps reduce which of the following?
- Data entry errors
- Query response time
- Number of users
- Table creation steps
3. Which type of parallelism uses multiple processors to run different parts of a query?
- Data parallelism
- Task parallelism
- Memory parallelism
- Storage parallelism
4. What is the main goal of data partitioning?
- To delete old data
- To distribute data across nodes
- To hide data
- To slow processing
5. Which architecture uses shared memory?
- Shared-nothing
- Shared-disk
- Shared-memory
- Distributed
6. In shared-disk systems, processors share which component?
- CPU
- Cache
- Disk storage
- Network
7. Which architecture is most scalable for parallel databases?
- Shared-memory
- Shared-disk
- Shared-nothing
- Centralized
8. What is horizontal partitioning?
- Dividing columns
- Dividing rows
- Duplicate tables
- Merging tables
9. Which operation benefits most from parallel processing?
- ORDER BY
- TRUNCATE
- DROP TABLE
- CREATE INDEX
10. Which system performs better when dealing with very large datasets?
- Centralized database
- Parallel database
- Local database
- Temporary database