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
21. Adding more nodes to increase capacity is called:
- Horizontal scaling
- Vertical scaling
- In-memory scaling
- Serial scaling
22. In parallel query processing, granularity refers to:
- Query accuracy
- Size of tasks
- Database errors
- Disk space
23. A skew occurs when:
- Data is perfectly balanced
- Tasks are equally distributed
- Data distribution is uneven
- Queries are identical
24. Which is an advantage of parallel databases?
- Reduced reliability
- Increased query performance
- Higher manual work
- Limited storage
25. Which parallelism type helps overlap operations like scanning and joining?
- Task
- Pipeline
- Data
- Row