Design Microservices Architecture with Patterns and Principles - What Is Data Partitioning? And Why We Are Using Data Pa

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Information Technology (IT), Architecture, Social Studies
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University
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of data partitioning in large-scale solutions?
To reduce the size of the database
To increase the complexity of data access
To distribute data across different partitions for better management
To eliminate the need for database servers
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does data partitioning improve scalability?
By increasing the size of each partition
By distributing data across multiple partitions to avoid hardware limits
By allowing data to be stored in a single partition
By reducing the number of database servers
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one way data partitioning enhances availability?
By reducing the number of partitions
By storing all data in one location
By ensuring that if one partition fails, others remain unaffected
By increasing the number of database queries
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can data partitioning improve security?
By mixing sensitive and non-sensitive data in the same partition
By storing all data in a single partition
By reducing the number of security protocols
By separating sensitive and non-sensitive data into different partitions
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to choose the correct partitioning strategy?
To minimize the number of partitions
To increase the complexity of data management
To maximize benefits while minimizing side effects
To ensure all data is stored in one partition
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