Design Microservices Architecture with Patterns and Principles - Problem: Single Database Server Performs Low Performanc

The video tutorial discusses the limitations of using a single database server, such as low performance and scalability issues. It highlights the need for data partitioning to address these problems. The tutorial explains how data partitioning can improve availability, scalability, performance, and security by dividing data into smaller, manageable units. It introduces horizontal, vertical, and functional data partitioning as effective methods to enhance database management and efficiency.

What is a major drawback of using a single database server in a microservices architecture?

• It increases the cost of database management.

• It enhances the security of the database.

• It leads to low performance due to increased data load.

• It simplifies the database structure.

Why does a single database server become inefficient over time?

• Because it consumes more power.

• Because it needs constant software updates.

• Because it cannot handle the fast growth of data and application.

• Because it requires more frequent backups.

Which of the following is NOT a benefit of data partitioning?

• Enhanced data security

• Improved availability

• Increased scalability

• Reduced database size

How does data partitioning improve performance?

• By compressing the data stored in the database.

• By increasing the number of database servers.

• By querying only smaller components related to specific partitions.

• By reducing the number of database queries.

What are the types of data partitioning mentioned?

• Primary, secondary, and tertiary

• Logical, physical, and temporal

• Horizontal, vertical, and functional

• Static, dynamic, and hybrid