Master Hibernate and JPA with Spring Boot in 100 Steps - Step 84 - Performance Tuning - Use Appropriate Caching

The video tutorial covers different caching strategies, including first level, second level, and distributed caching. It explains the importance of managing first level cache size to maintain efficiency and highlights the benefits of second level caching for shared data across transactions. The tutorial also introduces distributed caching for applications running in parallel, suggesting frameworks like Ehcache and Hazelcast for implementation.

What is a key characteristic of first-level caching?

• It is manually enabled.

• It operates across multiple transactions.

• It is automatically enabled within a single transaction.

• It requires a distributed cache framework.

Why is it important to manage the size of the first-level cache?

• To enable automatic updates.

• To allow for distributed caching.

• To prevent inefficiency in searching through the cache.

• To ensure it can store more entities.

What is the primary benefit of second-level caching?

• It shares common data across transactions on the same server.

• It is automatically enabled.

• It requires no additional frameworks.

• It allows caching across different servers.

Which framework is recommended for setting up second-level caching?

• Ehcache

• Memcached

• Redis

• Hazelcast

What is a suitable scenario for using distributed caching?

• When caching is not required.

• When running a single application instance.

• When running multiple application instances in parallel.

• When expecting low load on the server.