Parallel Database Systems Questions and Answers

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Showing 10 of 25 questions
Q1
What is a parallel database system mainly designed to improve?
  • A Database size
  • B Query performance
  • C Number of tables
  • D Data duplication
Answer: Option B
Explanation: Parallel DBs improve performance by executing operations simultaneously.
Q2
Parallelism in databases helps reduce which of the following?
  • A Data entry errors
  • B Query response time
  • C Number of users
  • D Table creation steps
Answer: Option B
Explanation: Parallel execution speeds up responses.
Q3
Which type of parallelism uses multiple processors to run different parts of a query?
  • A Data parallelism
  • B Task parallelism
  • C Memory parallelism
  • D Storage parallelism
Answer: Option B
Explanation: Task parallelism splits tasks across processors.
Q4
What is the main goal of data partitioning?
  • A To delete old data
  • B To distribute data across nodes
  • C To hide data
  • D To slow processing
Answer: Option B
Explanation: Partitioning spreads data to enable parallel processing.
Q5
Which architecture uses shared memory?
  • A Shared-nothing
  • B Shared-disk
  • C Shared-memory
  • D Distributed
Answer: Option C
Explanation: Shared-memory systems share main memory among processors.
Q6
In shared-disk systems, processors share which component?
  • A CPU
  • B Cache
  • C Disk storage
  • D Network
Answer: Option C
Explanation: All processors access the same disk system.
Q7
Which architecture is most scalable for parallel databases?
  • A Shared-memory
  • B Shared-disk
  • C Shared-nothing
  • D Centralized
Answer: Option C
Explanation: Shared-nothing scales best because each node owns its resources.
Q8
What is horizontal partitioning?
  • A Dividing columns
  • B Dividing rows
  • C Duplicate tables
  • D Merging tables
Answer: Option B
Explanation: Horizontal partitioning splits data by rows.
Q9
Which operation benefits most from parallel processing?
  • A ORDER BY
  • B TRUNCATE
  • C DROP TABLE
  • D CREATE INDEX
Answer: Option A
Explanation: Sorting can be split into multiple parallel tasks.
Q10
Which system performs better when dealing with very large datasets?
  • A Centralized database
  • B Parallel database
  • C Local database
  • D Temporary database
Answer: Option B
Explanation: Parallel DBs handle large data efficiently.

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