Distributed Caching Patterns Quiz

What you'll be asked

1. Which caching pattern involves the application code checking the cache first and, on a cache miss, loading the data from the database and updating the cache?
2. In a Write-Through caching pattern, what is the primary responsibility of the application when updating data?
3. Which strategy is most effective for preventing 'Cache Stampede' (or thundering herd) when a highly requested cache key expires?
4. When using Azure Cache for Redis, what is the primary risk of using the 'Write-Behind' (Write-Back) pattern in a production environment?
5. You are designing a system where you need to cache user session data. You want the system to be resilient to cache node failures. Which Azure Cache for Redis feature should you implement?

Answers and explanations come after you submit.