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Question 39 - AD0-E716 discussion

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An international merchant is complaining that changes are taking too long to be reflected on the frontend after a full product import.

Thinking it may be database issues, the Adobe Commerce developer collects the following entity counts:

* Categories: 900

* Products: 300k

* Customers: 700k

* Customer groups : 106

* Orders: 1600k

* Invoices: 500k

* Creditmemos: 50k

* Websites : 15

* Stores : 45

What is a probable cause for this?

A.
The combination of the number of products, categories and stores is too big. This leads to a huge amount of values being stored in the flat catalog indexes which are too large to be processed at a normal speed.
Answers
A.
The combination of the number of products, categories and stores is too big. This leads to a huge amount of values being stored in the flat catalog indexes which are too large to be processed at a normal speed.
B.
The combination of the number of orders, customers, invoices and creditmemos is too big. This leads to a huge amount of values being stored in the customer grid index which is too large to be processed at a normal speed.
Answers
B.
The combination of the number of orders, customers, invoices and creditmemos is too big. This leads to a huge amount of values being stored in the customer grid index which is too large to be processed at a normal speed.
C.
The combination of the number of products, customer groups and websites is too big. This leads to a huge amount of values being stored in the price index which is too large to be processed at a normal speed.
Answers
C.
The combination of the number of products, customer groups and websites is too big. This leads to a huge amount of values being stored in the price index which is too large to be processed at a normal speed.
Suggested answer: C

Explanation:

The probable cause for the delay in reflecting the changes on the frontend after a full product import is the combination of the number of products, customer groups and websites. This leads to a huge amount of values being stored in the price index which is too large to be processed at a normal speed. The price index calculates the final price of each product for each customer group and website, taking into account various factors such as tax, discounts, catalog price rules, etc. When there are many products, customer groups and websites, the price index becomes very complex and time-consuming to update. Verified

Reference: [Magento 2.4 DevDocs] [Magento Stack Exchange]

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asked 02/10/2024
Felomino Bacquiano II
45 questions
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