Database Sharding MCQs With Answers

Computer MCQs 360May 6, 2024

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Welcome to the Database Sharding MCQs with Answers. In this post, we have shared Database Sharding Online Test for different competitive exams. Find practice Database Sharding Practice Questions with answers in Computer Tests exams here. Each question offers a chance to enhance your knowledge regarding Database Sharding.

Database Sharding Online Quiz

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Test Name: Database Sharding MCQ Quiz Practice
Type: Quiz Test
Total Questions: 40
Total Marks: 40
Time: 40 minutes

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Database Sharding

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1 / 40

How does sharding differ from partitioning in traditional databases?

Scale and distribution

Query optimization

Data types

2 / 40

What is a disadvantage of using a hash-based sharding strategy?

Limited range queries

Complex data partitioning

Increased data redundancy

3 / 40

What is the impact of a poorly chosen shard key in database sharding?

Increased redundancy

Improved query performance

Hot spots and uneven load

4 / 40

What is the primary challenge of migrating data in a sharded database environment?

Sharding key selection

Maintaining data consistency

Encryption techniques

5 / 40

Which approach to sharding involves splitting data based on predefined key ranges?

Range-based sharding

Key-based sharding

Hash-based sharding

6 / 40

Which approach to sharding involves splitting data based on ranges of values?

Range-based sharding

Key-based sharding

Hash-based sharding

7 / 40

What is a common challenge faced when implementing database sharding?

Backup and recovery

Shard management

Data encryption

8 / 40

Which technique helps to evenly distribute write operations across shards?

Read sharding

Write sharding

Indexing

9 / 40

Which type of database workload benefits the most from sharding?

Mixed workload

Write-heavy

Read-heavy

10 / 40

In sharding, what is a common strategy for ensuring fault tolerance?

Data compression

Replication

Backup and recovery

11 / 40

Which approach to sharding involves distributing data based on a hash function?

Hash-based sharding

Range-based sharding

Key-based sharding

12 / 40

What is the primary goal of shard pruning in query optimization with sharding?

Enhance data security

Reduce query execution time

Simplify data retrieval

13 / 40

Which database technology commonly supports sharding out-of-the-box?

PostgreSQL

MongoDB

SQLite

14 / 40

What is the primary advantage of using horizontal partitioning over vertical partitioning?

Improved scalability

Enhanced data security

Simplified data retrieval

15 / 40

What does sharding help to improve in database systems?

Data security

Data compression

Scalability

16 / 40

What is the role of a shard balancer in database sharding?

Distribute data evenly

Implement data encryption

Optimize query performance

17 / 40

What is a disadvantage of vertical partitioning compared to horizontal sharding?

Limited scalability

Complex data retrieval

Data redundancy

18 / 40

What is a key consideration when implementing backup and recovery in a sharded database?

Shard consistency

Network speed

Data redundancy

19 / 40

What is the primary factor considered when designing a sharding strategy?

Data replication

Network topology

Workload characteristics

20 / 40

What is the primary advantage of hash-based sharding over range-based sharding?

Uniform data distribution

Efficient range queries

Simplified querying

21 / 40

What is the purpose of shard merging in database sharding?

Implement data encryption

Consolidate data from multiple shards

Optimize query performance

22 / 40

Which strategy helps mitigate the impact of network latency in sharded databases?

Query optimization

Data locality

Data partitioning

23 / 40

Which type of sharding technique is more suitable for evenly distributing write operations?

Read sharding

Hash-based sharding

Write sharding

24 / 40

What is the role of a shard coordinator in database sharding?

Routing queries

Data encryption

Backup and recovery

25 / 40

Which aspect of database sharding helps in handling spikes in data access requests?

Data encryption

Compression techniques

Scalability

26 / 40

Which type of sharding technique is more suitable for improving read performance?

Read sharding

Indexing

Write sharding

27 / 40

What is database sharding primarily used for in distributed database systems?

Vertical partitioning

Horizontal partitioning

Indexing

28 / 40

How does sharding help in improving data availability in distributed systems?

Compression techniques

Redundancy and fault tolerance

Data encryption

29 / 40

In database sharding, what is a key requirement to ensure data consistency across shards?

Distributed transactions

Data replication

Cross-shard queries

30 / 40

How does database sharding contribute to horizontal scaling?

Increases data redundancy

Distributes data across nodes

Centralizes data

31 / 40

What is a common method for implementing data consistency across shards in database sharding?

Distributed transactions

Query optimization

Data replication

32 / 40

What is a limitation of using a shard key based on timestamps for sharding?

Reduced data distribution

Sequential inserts lead to hot spots

Increased data security

33 / 40

Which factor should be considered when selecting a shard key in database sharding?

Data encryption

Data distribution

Indexing

34 / 40

What is the purpose of shard pruning in query processing with sharding?

Minimize data retrieval

Implement encryption

Optimize network

35 / 40

What does the term "shard" refer to in the context of database sharding?

Data encryption

Partitioned subset of data

Query optimization

36 / 40

Which database system is known for its native support for sharding and horizontal scalability?

Oracle

MySQL

MongoDB

37 / 40

What does the term "shard key" refer to in database sharding?

Data redundancy

Query optimization

Partitioning criterion

38 / 40

Which factor is most crucial for determining the effectiveness of sharding?

Network speed

Distribution key

Query optimization

39 / 40

How does database sharding contribute to horizontal scaling in distributed systems?

Distributes data across nodes

Centralizes data

Increases data redundancy

40 / 40

Which technique ensures that related data is stored on the same shard in sharding?

Partitioning

Colocation

Replication

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Computer MCQs 360May 6, 2024

0 22 1 minute read