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HLDsystem_design~5 mins

Write-through and write-back caching in HLD - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is write-through caching?
Write-through caching means data is written to the cache and the main storage at the same time. This keeps both in sync but can be slower.
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beginner
What is write-back caching?
Write-back caching means data is written only to the cache first. The main storage is updated later, which can be faster but risks data loss if the cache fails.
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intermediate
Which caching method is safer for data integrity: write-through or write-back?
Write-through caching is safer because it updates main storage immediately, reducing risk of data loss.
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intermediate
How does write-back caching improve performance?
Write-back caching improves performance by reducing the number of writes to slower main storage, as multiple changes can be combined before writing.
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intermediate
What is a potential risk of write-back caching?
The risk is data loss if the cache is lost or corrupted before the data is written back to main storage.
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In write-through caching, when is data written to main storage?
AAt the same time as writing to cache
BOnly after cache is full
COnly when system is idle
DNever
Which caching method can cause data loss if the cache fails?
ARead-through caching
BWrite-through caching
CWrite-back caching
DNo caching
Which caching method usually has better write performance?
AWrite-through caching
BBoth are equal
CNeither
DWrite-back caching
What is a key advantage of write-through caching?
AFaster writes
BLower risk of data loss
CLess memory usage
DNo need for cache
Which caching method requires a mechanism to write back data later?
AWrite-back caching
BWrite-through caching
CRead-through caching
DNo caching
Explain the difference between write-through and write-back caching with examples.
Think about when data is written to main storage in each method.
You got /4 concepts.
    Describe a situation where write-back caching is preferred over write-through caching and why.
    Consider systems where speed is more important than immediate data safety.
    You got /4 concepts.