Design Microservices Architecture with Patterns and Principles - Caching Strategies in Distributed Caching for Microserv

The video tutorial covers various caching strategies used in distributed microservices, including cache aside, read through, write through, and write back strategies. Each strategy is explained in terms of its operation, benefits, and drawbacks. Cache aside involves the client checking the cache before querying the database, while read through automatically retrieves data from the database on a cache miss. Write through updates the cache immediately after a database write, ensuring data consistency, whereas write back delays cache updates to reduce write operations.

Which of the following is NOT a caching strategy mentioned in the introduction?

• Cache Aside

• Read Through

• Write Through

• Cache Forward

In the cache aside strategy, who is responsible for retrieving data from the database when there is a cache miss?

• The cache itself

• The network

• The database

• The client application

What happens in a read through strategy when data is not found in the cache?

• The client is notified of the cache miss

• The data is not retrieved

• The cache retrieves data from the database

• The client retrieves data from the database

How does the read through strategy ensure data consistency?

• By using a separate cache for each request

• By storing data in the client application

• By automatically retrieving data from the database on a cache miss

• By updating the cache only on demand

What is a key difference between write through and write back strategies?

• Neither strategy updates the cache

• Write back updates the cache immediately, while write through delays the update

• Write through updates the cache immediately, while write back delays the update

• Both strategies update the cache at the same time

Which strategy might result in the cache having outdated data?

• Write Back

• Write Through

• Read Through

• Cache Aside

What is a potential downside of the write through strategy?

• Decreased cache size

• Decreased data consistency

• Increased write operations

• Increased read operations