Pass the Adobe Adobe Commerce AD0-E722 Questions and answers with CertsForce

According to the Adobe Commerce documentation, OAuth-based authentication is the recommended method for integrations that need access to system resources, such as orders, customers, products, etc. OAuth-based authentication allows the merchant to control the access level and scope of the integration, as well as to revoke the access at any time using the admin panel. OAuth-based authentication also requires an OAuth handshake between the integration and the Adobe Commerce system during activation, which ensures a secure exchange of tokens and keys. The third-party system should follow the OAuth protocol to obtain and refresh the access token, which will be used as the Bearer Token to authorize the REST API calls.

References:

Authentication | Adobe Commerce Developer Guide

OAuth-based authentication | Adobe Commerce Developer Guide

The magento-vars.php file is used to set the website or store view based on the HTTP host, but it does not affect GraphQL requests. GraphQL requests are handled by a separate controller that does not use the magento-vars.php file. Instead, GraphQL requests use the default store view of the default website, unless a store header or store cookie is provided in the request. The store header or cookie should contain the store code of the desired store view. For example, to query data from website_two, the request should include a header like store: store_two or a cookie like store=store_two12. References:

GraphQL overview | Adobe Commerce 2.4 User Guide - Magento

How to set up multiple websites with Magento 2 - Mageplaza

Option C is correct because it configures the preload.keys correctly for Redis L2 caching on an Adobe Commerce on-premise instance. Redis L2 caching is a feature that allows storing the cache data in both Redis and the local file system. This way, the cache data can be loaded faster from the local storage, while Redis acts as a cache invalidation service. To use Redis L2 caching, the backend option for both frontend => page_cache and frontend => default must be set to Magento\Framework\Cache\Backend\RemoteSynchronizedCache1. To enable the preload feature, which reduces the number of requests to Redis, the preload.keys option must be specified with the cache keys that are loaded on each frontend request. However, unlike Redis L1 caching, the preload.keys must include the suffix :hash to indicate that only the hash values of the cache data are stored in Redis2. Therefore, the correct configuration for preload.keys is:

[ ‘762_EAV_ENTITY_TYPES:hash’, ‘762_GLOBAL_PLUGIN_LIST:hash’, ‘762_DB_IS_UP_TO_DATE:hash’, ‘762_SYSTEM_DEFAULT:hash’, ],

Option A is incorrect because it configures the preload.keys incorrectly for Redis L2 caching. It uses the id_prefix of frontend => page_cache (063_) instead of frontend => default (762_) for the cache keys. This will cause a mismatch between the cache keys and the cache data, and result in incorrect or missing cache data. Moreover, it does not include the suffix :hash for the preload.keys, which is required for Redis L2 caching2.

Option B is incorrect because it configures the preload.keys incorrectly for Redis L2 caching. It does not include the suffix :hash for the preload.keys, which is required for Redis L2 caching2. It also uses a wrong cache key (GLOBAL_PLUGIN_LIST) instead of GLOBAL_PLUGIN_LIST.

Option D is incorrect because it configures the preload.keys incorrectly for Redis L2 caching. It uses a wrong id_prefix (162_) instead of frontend => default (762_) for the cache keys. This will cause a mismatch between the cache keys and the cache data, and result in incorrect or missing cache data. It also uses a wrong cache key (EAV_ENTITY_TYPES) instead of EAV_ENTITY_TYPES.

References:

1: Two-level caching | Adobe Commerce Developer Guide

2: Use Redis for default cache | Adobe Commerce Developer Guide

To create an integration test that executes different logic in different store views, the Architect needs to do the following steps:

Create one test class that extends \Magento\TestFramework\TestCase\AbstractController or \Magento\TestFramework\TestCase\AbstractBackendController, depending on the type of controller being tested1.

Create one test method that uses the @magentoDataFixture annotation to specify the data fixture file that creates the product2.

Use the \Magento\TestFramework\Store\ExecuteInStoreContext class to execute the fixture and the tested logic in different store views. This class has a method called executeInStoreContext, which takes two parameters: the store ID and a callable function. The callable function will be executed in the context of the given store ID, and then the original store ID will be restored3. For example:

PHPAI-generated code. Review and use carefully. More info on FAQ.

public function testSomeLogic()

{

// Get the product from the fixture

$product = $this->getProduct();

// Get the ExecuteInStoreContext instance from the object manager

$executeInStoreContext = $this->_objectManager->get(\Magento\TestFramework\Store\ExecuteInStoreContext::class);

// Execute the fixture in store view 3

$executeInStoreContext->executeInStoreContext(3, function () use ($product) {

// Do some operations on the product in store view 3

});

// Execute the tested logic in store view 4

$result = $executeInStoreContext->executeInStoreContext(4, function () use ($product) {

// Call the tested logic on the product in store view 4

return $this->someLogic->execute($product);

});

// Assert that the result is true

$this->assertTrue($result);

}

References:

Integration tests | Magento 2 Developer Documentation

Data fixtures | Magento 2 Developer Documentation

Magento\TestFramework\Store\ExecuteInStoreContext | Magento 2 Developer Documentation

According to the Adobe Commerce documentation, the Source Selection Interface is the main interface for implementing custom source selection algorithms. The interface defines a method called execute(), which takes a list of items to be shipped and a stock ID as parameters, and returns a SourceSelectionResultInterface object, which contains the recommended sources and quantities for each item. The Architect can create a new class that implements this interface and provides the logic for finding the lowest-cost warehouse that is open for each item. The Architect can then register the new class as an option for the source selection algorithm in the di.xml file of the custom module.

References:

Source Selection Algorithm | Adobe Commerce Developer Guide

Source Selection Interface | Adobe Commerce Developer Guide