Multiple Choice Questions and Answers on Write-Through Caching

Add the following multiple choice questions and answers and explanations verbatim (DO NOT change the given wording). ========================================== New Question 1: What are the two implementations of write-through caching discussed in the article? Choice A: Synchronous Writes and Asynchr...

Add the following multiple choice questions and answers and explanations verbatim (DO NOT change the given wording). ========================================== New Question 1: What are the two implementations of write-through caching discussed in the article? Choice A: Synchronous Writes and Asynchronous Writes Choice B: Cache-First Approach and Parallel Writes Approach Choice C: Lazy Writes and Eager Writes Choice D: Immediate Writes and Deferred Writes Correct answer: B Explanation: The article discusses the Cache-First Approach, where the application writes to the cache and then the cache writes to the database, and the Parallel Writes Approach, where the application writes to both the cache and the database simultaneously. ========================================== New Question 2: What is a potential risk associated with the Cache-First Approach in write-through caching? Choice A: Increased cache pollution Choice B: Data loss if the cache fails before writing to the database Choice C: Higher latency in read operations Choice D: Inconsistency between multiple cache nodes Correct answer: B Explanation: In the Cache-First Approach, if the cache fails before writing the data to the database, there is a risk of data loss as the write has not been persisted in the primary storage. ========================================== New Question 3: How does the Parallel Writes Approach in write-through caching differ from the Cache-First Approach in terms of data consistency? Choice A: Parallel Writes Approach allows data to be written to the cache only. Choice B: Parallel Writes Approach ensures both cache and database are updated simultaneously, reducing the risk of data loss. Choice C: Cache-First Approach ensures data is written to both cache and database simultaneously. Choice D: Cache-First Approach avoids writing to the database altogether. Correct answer: B Explanation: The Parallel Writes Approach writes data to both cache and database simultaneously, ensuring consistency and reducing the risk of data loss in case the cache fails. ========================================== New Question 4: According to the article, what is a key advantage of read-through caching in terms of cache pollution? Choice A: It stores all data in the cache, preventing pollution. Choice B: It avoids cache pollution by caching only data that is actively requested. Choice C: It uses a larger cache size to mitigate pollution. Choice D: It periodically clears the cache to prevent pollution. Correct answer: B Explanation: Read-Through caching minimizes cache pollution by storing only data that has been explicitly requested, ensuring efficient use of cache resources. ========================================== New Question 5: What does the article suggest about read-through caching's impact on read performance compared to write-through caching after data is in the cache? Choice A: Read-Through caching always provides better read performance. Choice B: Write-Through caching always provides better read performance. Choice C: Both provide identical read performance for cached data. Choice D: Read-Through caching provides worse read performance than Write-Through caching. Correct answer: C Explanation: Once data is cached, both Read-Through and Write-Through caching serve reads directly from the cache, resulting in identical read performance. ========================================== New Question 6: Why does the article argue that the primary benefit of read-through caching lies in cache efficiency rather than read speed? Choice A: Because read-through caching uses a larger cache. Choice B: Because it avoids storing unnecessary data, optimizing cache usage. Choice C: Because it delays data retrieval until it is needed. Choice D: Because it writes data to the database only after reads. Correct answer: B Explanation: The article emphasizes that read-through caching optimizes cache efficiency by caching only data that is actively requested, thus avoiding cache pollution and ensuring efficient use of cache space. ========================================== New Question 7: How does write-through caching handle data consistency between cache and database? Choice A: It does not ensure data consistency. Choice B: It ensures eventual consistency. Choice C: It ensures strong consistency by updating both cache and database synchronously. Choice D: It updates cache only and relies on periodic database updates. Correct answer: C Explanation: Write-Through caching ensures strong consistency by synchronously updating both cache and database during write operations. ========================================== New Question 8: What is a key consideration when choosing between the Cache-First and Parallel Writes approaches in write-through caching? Choice A: The type of cache used. Choice B: The size of the primary storage. Choice C: The required level of data consistency and acceptable write latency. Choice D: The programming language of the application. Correct answer: C Explanation: The choice between Cache-First and Parallel Writes approaches depends on the required level of data consistency and the acceptable level of write latency. Parallel Writes offer higher consistency at the cost of higher latency, while Cache-First may have lower latency but risk data loss. ========================================== New Question 9: In the context of the article, why might write-through caching lead to higher cache usage compared to read-through caching? Choice A: Because write-through caching duplicates data. Choice B: Because write-through caching caches all writes, regardless of how frequently the data is accessed. Choice C: Because write-through caching uses larger cache sizes. Choice D: Because write-through caching does not evict data. Correct answer: B Explanation: Write-Through caching may lead to higher cache usage because it caches every write operation, regardless of whether the data is frequently accessed or not, potentially storing infrequently used data. ========================================== New Question 10: How does the article describe the relationship between read-through caching and data updates? Choice A: Read-Through caching requires frequent data updates. Choice B: Read-Through caching is designed for scenarios with infrequent data updates. Choice C: Read-Through caching synchronizes data on every write. Choice D: Read-Through caching cannot handle data updates. Correct answer: B Explanation: The article suggests that Read-Through caching is ideal for scenarios where data is read frequently but updated infrequently. ==========================================