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Caching Strategies for High-Performance Systems

Eladio Rocha 9 preguntas Actualizado el 2 dic 2024

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Preguntas del test (9)

  1. 1What is a primary reason for using a caching layer in a high-performance system?
    1. ATo simplify database schema design.
    2. BTo reduce the frequency of accessing the database disk.
    3. CTo improve write throughput of the database.
    4. DTo avoid using load balancers.
  2. 2Why is a horizontally distributed caching layer advantageous?
    1. AIt eliminates the need for a database.
    2. BIt allows the caching layer to be scaled independently of the application servers.
    3. CIt enables better enforcement of database constraints.
    4. DIt reduces the number of application servers needed.
  3. 3What role does a hash function play in a distributed caching system?
    1. AIt ensures consistent cache invalidation.
    2. BIt determines which cache server stores specific data.
    3. CIt manages the redundancy of cache servers.
    4. DIt calculates the expiration time for cached data.
  4. 4What type of caching architecture keeps the cache local to application servers?
    1. AIndependent caching fleet.
    2. BIntegrated caching within application servers.
    3. CHybrid caching model.
    4. DDisk-based caching system.
  5. 5What is the "celebrity problem" in caching?
    1. ADifficulty in caching data for infrequently accessed keys.
    2. BHigh traffic to specific cached data causing uneven load distribution.
    3. CInability to cache frequently updated information.
    4. DIssues with redundancy in cached data.
  6. 6What is a significant concern when dealing with a cold-start cache problem?
    1. ACache data not invalidating properly.
    2. BHigh initial traffic hitting the database until the cache is warmed up.
    3. CInability to scale the cache horizontally.
    4. DExpired cache entries causing stale data.
  7. 7Why is setting an appropriate expiration policy for cached data important?
    1. ATo ensure the database schema remains consistent.
    2. BTo balance between data freshness and cache effectiveness.
    3. CTo allow caching of frequently updated data.
    4. DTo reduce the need for redundancy in the cache.
  8. 8What type of applications benefit the most from caching?
    1. AApplications with frequent write operations.
    2. BApplications with a high read-to-write ratio.
    3. CApplications requiring real-time data consistency.
    4. DApplications with low user traffic.
  9. 9What is one approach to mitigate the cold-start problem in caching?
    1. AUsing a write-through caching strategy.
    2. BPreloading the cache with historical data or simulated traffic before deployment.
    3. CShortening the cache expiration time.
    4. DDisabling caching temporarily.

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Descripción
Explore caching strategies for high-performance, scalable systems. Learn how caching reduces database load, the importance of cache expiration policies, and solutions for challenges like the cold-start and celebrity problems. Discover best practices for implementing distributed caching layers effectively.
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Creado el 2 dic 2024 · actualizado el 2 dic 2024
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