Consider a Redis cache used with a write-through pattern. The application writes a key user:1 with value "Alice" to Redis and the database simultaneously. Then it reads the key user:1 from Redis.
What will the Redis GET command return?
SET user:1 "Alice" GET user:1
In write-through caching, data is written to cache and database at the same time.
Since the write-through pattern writes data to Redis immediately, the GET command returns the stored value "Alice".
Which of the following best explains why write-through caching helps keep data consistent between cache and database?
Think about when the cache and database get updated in write-through.
Write-through caching writes data to both cache and database at the same time, ensuring they stay consistent.
You want to update the user name for user:2 in Redis cache and the database using write-through. Which Redis command sequence below correctly updates the cache?
Write-through means writing the new value directly to cache.
Using SET directly updates the cache with the new value, which is required for write-through.
Write-through caching writes data to both cache and database synchronously. What is a common impact on write latency and a typical way to reduce it?
Think about writing to two places at once and how to improve speed.
Write-through increases write latency because it waits for both cache and database writes. Batching writes asynchronously can reduce this latency.
Given this Redis command used in a write-through cache update:
SET user:3
What error will Redis return?
Check the required arguments for the SET command.
The SET command requires a key and a value. Missing the value causes a wrong number of arguments error.