Multiple Choice Questions on Caching Strategies PDF

Add the following multiple choice questions and answers and explanations verbatim (DO NOT change the given wording). ========================================== New Question 1: What is the primary difference between read-through and write-through caching strategies? Choice A: Read-through caching up...

Add the following multiple choice questions and answers and explanations verbatim (DO NOT change the given wording). ========================================== New Question 1: What is the primary difference between read-through and write-through caching strategies? Choice A: Read-through caching updates the cache on writes, while write-through caching updates the cache on reads. Choice B: Read-through caching synchronizes data at the point of reading, whereas write-through caching synchronizes data at the point of writing. Choice C: Read-through caching requires more computational resources than write-through caching. Choice D: Write-through caching only works with SQL databases, while read-through caching does not. Correct answer: B Explanation: The primary difference lies in when data synchronization occurs. Read-through caching synchronizes data when a read request is made, loading data into the cache on demand. In contrast, write-through caching synchronizes data immediately upon writing, ensuring that both the cache and primary storage are updated simultaneously. ========================================== New Question 2: Which of the following is a major advantage of write-through caching? Choice A: It reduces latency on cache misses. Choice B: It ensures strong consistency between the cache and primary storage. Choice C: It requires less computational resources compared to read-through caching. Choice D: It allows for eventual consistency in read operations. Correct answer: B Explanation: Write-through caching ensures that every write operation updates both the cache and the primary storage simultaneously, thereby maintaining strong consistency between them. This reduces the risk of data discrepancies between the cache and the primary storage. ========================================== New Question 3: In which scenario is read-through caching most beneficial? Choice A: A banking system processing real-time transactions. Choice B: An e-commerce website with frequently accessed product information. Choice C: A system requiring immediate data consistency on writes. Choice D: A real-time analytics platform monitoring live data feeds. Correct answer: B Explanation: Read-through caching is ideal for scenarios like an e-commerce website with a large product catalog where data is read frequently but updated less often. It efficiently loads and serves frequently accessed data after the initial request, reducing the load on the primary database. ========================================== New Question 4: What is a significant drawback of write-through caching? Choice A: Increased load on primary storage due to simultaneous writes. Choice B: Higher latency on read operations. Choice C: Risk of data loss if the cache fails before writing to primary storage. Choice D: Inability to handle real-time data processing. Correct answer: A Explanation: A major drawback of write-through caching is the increased load on primary storage since every write operation must be performed on both the cache and the primary storage simultaneously. This can lead to higher latency during write operations. ========================================== New Question 5: Which implementation of write-through caching eliminates the risk of data loss if the cache fails before writing to the primary storage? Choice A: Cache-First Approach Choice B: Lazy-Loading Approach Choice C: Parallel Writes Approach Choice D: Synchronous Write Approach Correct answer: C Explanation: The Parallel Writes Approach involves writing data simultaneously to both the cache and the primary storage. This eliminates the risk of data loss if the cache fails because the primary storage already has the latest data. ========================================== New Question 6: When should write-through caching be preferred over read-through caching? Choice A: When read operations are infrequent and data updates are rare. Choice B: When data consistency and integrity on write operations are critical. Choice C: When the system needs to handle large batch data efficiently. Choice D: When eventual consistency for read operations is acceptable. Correct answer: B Explanation: Write-through caching should be preferred in environments where data consistency and integrity on write operations are paramount, such as transactional systems where every write must be reliably and immediately reflected in both the cache and primary storage. ========================================== New Question 7: What is a key advantage of the cache-first approach in write-through caching? Choice A: It allows for asynchronous writes to the primary storage. Choice B: It simplifies the application's interaction by only requiring communication with the cache. Choice C: It reduces the latency of write operations by delaying writes to primary storage. Choice D: It enables data to be written directly to the primary storage without involving the cache. Correct answer: B Explanation: The cache-first approach simplifies the application's interaction by having the application only communicate with the cache. The cache then synchronously writes the data to the primary storage, streamlining the write process from the application's perspective. ========================================== New Question 8: Which caching strategy is better suited for applications that can tolerate eventual consistency for read operations? Choice A: Write-Through Caching Choice B: Read-Through Caching Choice C: Write-Back Caching Choice D: Cache-Aside Caching Correct answer: B Explanation: Read-through caching is suitable for applications that can tolerate eventual consistency for read operations. Since data is loaded into the cache on demand during read requests, there may be a delay before the latest data is available in the cache, allowing for eventual consistency. ========================================== New Question 9: What is a common risk associated with the cache-first approach in write-through caching? Choice A: Increased complexity in handling read operations. Choice B: Data loss if the cache fails before writing to primary storage. Choice C: Higher latency due to parallel write operations. Choice D: Inconsistent data between the cache and primary storage. Correct answer: B Explanation: In the cache-first approach, if the cache fails before the data is written to the primary storage, there is a risk of data loss. This is because the data is initially written to the cache, and only subsequently to the primary storage. ========================================== New Question 10: Which of the following best describes the "Pros" of read-through caching as mentioned in the article? Choice A: Data consistency and reduced write latency. Choice B: Transparency, reduced latency on cache hits, and reduced load on primary storage. Choice C: Strong data integrity and simplified write operations. Choice D: Immediate data propagation and high computational efficiency. Correct answer: B Explanation: The pros of read-through caching include transparency (the application interacts only with the cache), reduced latency on cache hits (frequently accessed data is served quickly), and reduced load on primary storage (frequent reads are offloaded to the cache). ==========================================