Given a Performance Issue and Sample Code, Determine the Faulty Cache Configuration and Identify the Cause. B2C-COMMERCE-DEVELOPER Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   A B2C Commerce site fails to add a cache dependency on a product's price. What is the most likely consequence?

   • AThe page will not be cached at all
   • BShoppers may see outdated prices after a merchant updates them
   • CThe page will be served faster because no dependency check is needed
   • DThe page will be cached but with a shorter expiration
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   In Business Manager, which cache setting is used to group related cached objects so that a change to one object can invalidate the entire group?

   • ACache dependency
   • BCache key
   • CCache size
   • DCache expiration
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A developer is reviewing code that caches a product's availability. The cache key is `'availability_' + product.ID`. The availability is updated by an external system that calls a webhook. The webhook does not invalidate the cache. What is the most likely result?

   • AThe cache will be invalidated automatically because the product ID is in the key.
   • BThe cache will be cleared when the external system calls the webhook.
   • CThe cache will be refreshed on the next request after the webhook call.
   • DThe cache will show stale availability until the TTL expires.
   Reveal Solution Discussion Select an answer first
5. 4application · medium

   A developer notices that a product detail page (PDP) shows stale inventory counts for several hours after a warehouse update. The page uses a custom controller that calls a service to fetch inventory and caches the result using `CacheManager.getCache('inventory')`. The cache configuration in Business Manager has a default time-to-live (TTL) of 24 hours. What is the most likely cause of the stale inventory?

   • AThe cache key does not include the product ID, so all products share the same cached inventory.
   • BThe cache is configured with a TTL that is too long for frequently changing data like inventory.
   • CThe cache is using a local (in-memory) cache instead of a shared cache, so each application server has its own copy.
   • DThe cache dependency is set to the product ID, which prevents the cache from being invalidated when inventory changes.
   Reveal Solution Discussion Select an answer first
6. 5expert · hard

   A developer is troubleshooting a performance issue on a product detail page. The page uses a custom controller that caches the product data with a TTL of 10 minutes. The site experiences high latency, and the developer suspects the cache is not being invalidated correctly. The developer adds logging to the controller and sees that the cache key is `'product_' + product.ID` and that the cache hit rate is high. What is the most likely cause of the high latency?

   • AThe cache TTL is too short, causing frequent cache misses.
   • BThe cache is being invalidated too frequently, causing cache misses.
   • CThe cache is not invalidated when the product changes, so the page shows stale data, but the latency is due to something else.
   • DThe cache key is too granular, causing low cache hit rate.
   Reveal Solution Discussion Select an answer first