Caching Expert
What is caching?
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A technique to balance load among servers.
A process of compressing data to save storage space.
A method of securing data using encryption.
A process of storing frequently accessed data in a temporary storage.
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The process of removing outdated data from the cache.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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Load balancing, failover, and clustering.
Sharding, replication, and partitioning.
Compression, encryption, and decryption.
Time-to-live, write-through, and cache-aside.
What is cache replacement?
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Compressing cache data to save space.
Encrypting cache data for security purposes.
Backing up cache data to a secure location.
Replacing old data in the cache with new data.
How would you handle cache synchronization in a distributed environment?
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Use distributed locks and consensus protocols to ensure data consistency.
Synchronize caches by using different keys for each cache.
Synchronize caches by increasing cache size.
Use caching only for read-heavy workloads to avoid synchronization issues.
Name situations when to use different replacement strategies?
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Change the strategy based on server load only.
Use the replacement strategy with the longest name.
Always use the same replacement strategy regardless of the situation.
Use different strategies based on access patterns and data size.
What are some common cache writing strategies?
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Compression, encryption, and replication.
Write-through, write-back, and write-around.
Load balancing, failover, and redundancy.
Sharding, partitioning, and clustering.
Name some common scenarios when caching should be used.
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Caching is useful for encrypting sensitive information.
Caching should be used for frequently accessed data to reduce load times.
Caching helps in database schema design.
Caching is ideal for storing user passwords.
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.
Increasing cache size reduces the need for server backups.
Larger cache sizes generally improve performance by reducing cache misses.
What is a cache miss?
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A situation where the server fails to respond.
A scenario where data retrieval is slower than usual.
An event where the database becomes unavailable.
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 tool for managing database connections.
A password used for user authentication.
A special key used to unlock secure databases.
A unique identifier used to store and retrieve cached data.