Caching Fundamentals: TTL, Keys, and Architecture Quiz

Test your knowledge of caching basics, including time-to-live (TTL), cache keys, and client-server caching concepts. This quiz helps you understand essential caching strategies and terminology for optimized data retrieval.

1. Purpose of Cache

   What is the primary purpose of using a cache in a computer system?

   1. To store frequently accessed data for faster retrieval
   2. To delete outdated files from the database
   3. To create system backups on a regular basis
   4. To encrypt sensitive information automatically

   Explanation: Caches temporarily hold frequently requested data to improve retrieval speed and reduce resource usage. Deleting outdated files is typically a maintenance process, not a cache function. Encryption ensures data security but is unrelated to cache storage. Creating backups secures data against loss, which is different from caching for performance.

2. Understanding TTL

   What does TTL (Time to Live) represent in the context of caching?

   1. The total time needed to load a web page completely
   2. The duration a cached item remains available before expiring
   3. The exact size limit of the cache in megabytes
   4. The length of a user session in the application

   Explanation: TTL defines how long a cached item should be considered valid before being refreshed or removed. It is not related to user session duration or overall page load time. Cache size refers to storage capacity, not expiration timing.

3. Cache Key Usage

   Why are unique cache keys important in caching scenarios?

   1. They prevent collisions and ensure correct data retrieval
   2. They reduce storage capacity requirements
   3. They eliminate the need for data validation
   4. They automatically compress the cached content

   Explanation: Unique cache keys help accurately identify cached items, avoiding overwriting or retrieving incorrect data. Storage capacity is managed separately from key uniqueness. Compression is handled by other mechanisms, not cache key design. While keys aid in organization, they do not replace data validation.

4. Client-Side Caching Definition

   What is client-side caching in the context of distributed systems?

   1. Saving data directly to the server’s local memory
   2. Storing cached data locally on the user's device or browser
   3. Automatically encrypting all outgoing network traffic
   4. Downloading backup copies of the database to the client

   Explanation: Client-side caching stores data on the end user's device, improving response times and reducing repeated server requests. Server memory caching is a separate concept. Encrypting network traffic addresses security, not caching. Downloading database backups is a data recovery measure, not caching.

5. Server-Side Caching Function

   Which best describes the function of server-side caching?

   1. Storing every user's settings only on their personal device
   2. Disconnecting inactive users to save resources
   3. Automatically resizing image files before saving
   4. Caching data on the server, allowing faster access for all clients

   Explanation: Server-side caching stores centralized data on the server, enabling quick access by multiple clients. User settings on personal devices describe client-side storage. Resource management through disconnections and image resizing are unrelated to the function of server caching.

6. Cache Invalidation Basics

   When does cache invalidation typically occur in a caching system?

   1. Each time the server is rebooted, regardless of data changes
   2. Whenever a network connection is established
   3. Right after a user logs in to their account
   4. When cached data becomes outdated or the TTL expires

   Explanation: Cache invalidation happens when the data in cache is no longer considered valid, either due to data updates or TTL expiration. Establishing network connections and user login events usually do not trigger invalidation. Server reboots can clear cache but are not standard invalidation mechanisms.

7. Benefits of Caching

   Which is a direct benefit of implementing effective caching strategies in web applications?

   1. Frequent loss of cached items after every user request
   2. Higher memory usage and slower network speeds
   3. Increased password security without encryption
   4. Reduced latency and faster response times for users

   Explanation: Effective caching reduces latency, providing quicker data access and improved performance. It should not lead to higher memory use or slower speeds. Password security is not inherently affected by caching, and a good cache strategy should not cause unnecessary data loss after every request.

8. Cache Miss Scenario

   What happens during a 'cache miss' in a typical caching process?

   1. The cache key is always reset to zero
   2. The cache automatically duplicates the existing data
   3. The requested data is not in the cache and must be fetched from the original source
   4. All cached data is deleted permanently

   Explanation: A cache miss means the needed data is absent in the cache, so the system retrieves it from the primary source. Automatic duplication and permanent deletion are not typical cache miss responses. Cache keys are identifiers and are not reset during cache misses.

9. Cache Key Example

   Given a user profile caching system, which of the following is a suitable example of a cache key?

   1. localbackup.jpg
   2. user_password
   3. 15 seconds
   4. profile_12345

   Explanation: A cache key like 'profile_12345' uniquely identifies the cached user profile data. '15 seconds' indicates a TTL, not a key. 'user_password' could compromise security and isn't a suitable cache key. 'localbackup.jpg' appears to be a file name, not a cache key for a user profile.

10. TTL Configuration Impact

    How does setting a very short TTL impact cache performance?

    1. It ensures that no data is ever expired in the cache
    2. It may cause frequent data lookups from the original source, reducing cache effectiveness
    3. It always increases cache hit rate significantly
    4. It automatically compresses all cached data

    Explanation: A very short TTL causes cache entries to expire quickly, increasing lookups to the main data source and lowering cache utility. This does not increase cache hits; instead, it may decrease them. Expired data is more frequent, not less, and TTL settings do not affect compression.