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An Architect is investigating a merchant's Adobe Commerce production environment where all customer session data is randomly being lost. Customer session data has been configured to be persisted using Redis, as are all caches (except full page cache, which is handled via Varnish). After an initial review, the Architect is able to replicate the loss of customer session data by flushing the Magento cache storage, either via the Adobe Commerce Admin Panel or running bin/iuagento cache: flush on the command line. Refreshing all the caches in the Adobe Commerce Admin Panel or running bin/magento cache: clean on the command line does not cause session data to be lost. What should be the next step?
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Since the last production deployment, customers can not complete checkout. The error logs show the following message multiple times: The Architect finds a deployed feature that should limit delivery for some specific postcodes. The Architect sees the following code deployed in/webapi_rest \di .xml and etc\frontend\di xml Which step should the Architect perform to solve the issue?
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Question 21 - AD0-E718 discussion

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An existing Adobe Commerce website is moving to a headless implementation.

The existing website features an "All Brands" page, as well as individual pages for each brand. All brand-related pages are cached in Varnish using tags in the same manner as products and categories.

Two new GraphQL queries have been created to make this information available to the frontend for the new headless implementation:

During testing, the queries sometimes return out-of-date information.

How should this problem be solved while maintaining performance?

A.
Each GraphQL query's resolver class should inject MagentoGraphQICacheModelCacheableQuery and call setCacheValidity (true) on it as part of the resolver's rescive function
Answers
A.
Each GraphQL query's resolver class should inject MagentoGraphQICacheModelCacheableQuery and call setCacheValidity (true) on it as part of the resolver's rescive function
B.
Specify a @cache (cacheable: false directive for each GraphQL query, making sure that the data returned is not cached, and is up to date
Answers
B.
Specify a @cache (cacheable: false directive for each GraphQL query, making sure that the data returned is not cached, and is up to date
C.
Specify a @cache (cacheIdentity: path\\T\\identityClass) directive for each GraphQL query, corresponding to a class that adds cache tags for relevant brands and associated products
Answers
C.
Specify a @cache (cacheIdentity: path\\T\\identityClass) directive for each GraphQL query, corresponding to a class that adds cache tags for relevant brands and associated products
Suggested answer: C

Explanation:

This option would allow caching GraphQL query results using Varnish or Fastly with proper invalidation and differentiation mechanisms.

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asked 02/10/2024
Chris Morris
39 questions
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