Caching Expert
What is caching?
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A process of storing frequently accessed data in a temporary storage.
A method of securing data using encryption.
A process of compressing data to save storage space.
A technique to balance load among servers.
What is cache invalidation?
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The process of expanding cache storage capacity.
The action of encrypting cache data for security.
The method of backing up cache data to a secure location.
The process of removing outdated data from the cache.
Name some cache invalidation strategies.
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Sharding, replication, and partitioning.
Load balancing, failover, and clustering.
Compression, encryption, and decryption.
Time-to-live, write-through, and cache-aside.
What is cache replacement?
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Replacing old data in the cache with new data.
Backing up cache data to a secure location.
Encrypting cache data for security purposes.
Compressing cache data to save space.
How would you handle cache synchronization in a distributed environment?
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Use caching only for read-heavy workloads to avoid synchronization issues.
Synchronize caches by using different keys for each cache.
Synchronize caches by increasing cache size.
Use distributed locks and consensus protocols to ensure data consistency.
Name situations when to use different replacement strategies?
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Use the replacement strategy with the longest name.
Use different strategies based on access patterns and data size.
Always use the same replacement strategy regardless of the situation.
Change the strategy based on server load only.
What are some common cache writing strategies?
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Load balancing, failover, and redundancy.
Sharding, partitioning, and clustering.
Compression, encryption, and replication.
Write-through, write-back, and write-around.
Name some common scenarios when caching should be used.
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Caching is useful for encrypting sensitive information.
Caching is ideal for storing user passwords.
Caching helps in database schema design.
Caching should be used for frequently accessed data to reduce load times.
Describe the impact of cache size on performance.
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Cache size has no impact on system performance.
Smaller cache sizes always increase data retrieval speed.
Larger cache sizes generally improve performance by reducing cache misses.
Increasing cache size reduces the need for server backups.
What is a cache miss?
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An event where the database becomes unavailable.
A situation where the server fails to respond.
A scenario where data retrieval is slower than usual.
An event where requested data is not found in the cache.
What is a cache key and how is it used?
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A unique identifier used to store and retrieve cached data.
A special key used to unlock secure databases.
A password used for user authentication.
A tool for managing database connections.