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Redisquery~5 mins

Cache-aside pattern in Redis - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the Cache-aside pattern?
The Cache-aside pattern is a way to keep data in a cache and a database. When data is needed, the app first looks in the cache. If it's not there, it loads from the database and then saves it in the cache for next time.
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beginner
In the Cache-aside pattern, what happens when data is not found in the cache?
The application loads the data from the database, then stores it in the cache for future requests.
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beginner
Why use the Cache-aside pattern instead of always reading from the database?
Because reading from cache is much faster than reading from the database, so it improves app speed and reduces database load.
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intermediate
How does the Cache-aside pattern handle data updates?
When data changes, the app updates the database first and then removes or updates the cache entry to keep data consistent.
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beginner
What is a cache miss in the Cache-aside pattern?
A cache miss happens when the requested data is not found in the cache, so the app must get it from the database.
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In the Cache-aside pattern, where does the application look first for data?
ACache
BDatabase
CFile system
DNetwork
What should the application do after a cache miss in the Cache-aside pattern?
ALoad data from the database and update the cache
BReturn an error
CClear the cache
DRestart the application
How does the Cache-aside pattern help improve application performance?
ABy storing data only in the database
BBy increasing database writes
CBy reducing database reads using fast cache access
DBy disabling the cache
When data is updated, what must happen to keep cache and database consistent?
AOnly update the database
BOnly update the cache
CDo nothing
DUpdate the database and then invalidate or update the cache
Which of these is NOT a benefit of the Cache-aside pattern?
AFaster data access
BAutomatic cache refresh without app control
CReduced database load
DBetter app scalability
Explain how the Cache-aside pattern works step-by-step when an application requests data.
Think about what happens when data is found or not found in cache.
You got /4 concepts.
    Describe how data updates are handled in the Cache-aside pattern to keep cache and database consistent.
    Consider the order of operations for data changes.
    You got /3 concepts.