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The issue is that the export file is not shown in the list of generated files. This is because the export path is not set correctly. The solution is to execute the command config:set export/customr/files_directory /var/releases/{release_nunber} to set the new export path. This will ensure that the export file is saved in the correct directory and can be accessed from the Admin Panel. References: https://experienceleague.adobe.com/docs/commerce-cloud-service/user-guide/develop/deploy/staging-production.html?lang=en#deploy-to-staging-and-production 1

The issue here is that the database storage is not being fully cleaned after the test is run. The solution is to modify the method PHPDoc and change the annotation @magentoDbIsolation to enabled. This will ensure that the database storage is fully cleaned after the test is run. References: https://developer.adobe.com/commerce/testing/guide/integration/#database-isolation 1

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

Option C is correct because adjusting the ruleset.xml file with the new rule is the simplest and most effective way to implement the new code rule. The ruleset.xml file defines the coding standards that are applied by PHP_CodeSniffer. By extending the Magento 2 Coding Standard and adding a new rule, the Architect can customize the code analysis and enforce the company coding standards. The new rule can use the Magento2.Namespaces.ForbiddenNamespaces sniff to check for any usage of Helper classes in the code and report them as errors or warnings1.

Option A is incorrect because creating a new composer package under the AwesomeAgency\CodingStandard\ namespace is not enough to implement the new code rule. The composer package is just a way to distribute and install the coding standard, but it does not define the rules themselves. The Architect still needs to create a ruleset.xml file and register it with PHP_CodeSniffer2.

Option B is incorrect because creating a new class \AwesomeAgency\CodingStandard\Ruleset\ForbiddenNamespaces and specifying the rule inside the process method is unnecessary and complicated. The Architect does not need to create a new class or a new sniff for this rule, as there is already an existing sniff in the Magento 2 Coding Standard that can be used for this purpose. The Magento2.Namespaces.ForbiddenNamespaces sniff can be configured with an include-pattern element to specify which namespaces are forbidden1.

References:

1: Magento 2 Coding Standards | Adobe Commerce Developer Guide

2: How to create a custom coding standard | PHP_CodeSniffer Documentation

The error is caused by the missing class declaration for the custom condition class. According to the Adobe Commerce documentation, to create a custom customer segment condition, the class must extend the \Magento\CustomerSegment\Model\Condition\AbstractCondition class and implement the \Magento\CustomerSegment\Model\Condition\Combine\Interface interface. The class must also declare its name, label, value type, and attribute code properties. Option B is the only option that correctly declares the class with the required properties and inheritance. Option A and Option C are incorrect because they do not extend the AbstractCondition class or implement the CombineInterface interface, and they do not declare the name, label, value type, or attribute code properties.

References:

Create a customer segment condition | Adobe Commerce Developer Guide

AbstractCondition | Adobe Commerce Developer Guide

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

The issue here is that the Approval Rules tab does not appear in the Company section in the Customer Account Menu when the Architect logs in using the Company Administrator account. This is because the Approval Rules feature requires two settings to be enabled: the Purchase Orders feature and the Purchase Order payment method. The solution is to set ‘Enable Purchase Orders’ in the B2B Admin to TRUE and make sure that the ‘Purchase Order’ payment method is active. This will allow the Architect to create and manage Approval Rules for orders.

References: https://experienceleague.adobe.com/docs/commerce-admin/b2b/purchase-orders/account-dashboard-approval-rules.html?lang=en#account-dashboard 1 https://experienceleague.adobe.com/docs/commerce-admin/b2b/purchase-orders/purchase-order-payment-method.html?lang=en#payment-method 2

The issue is being caused by the use of @magentoDataFixture annotation, which creates a temporary data fixture that is rolled back after each test execution1. This means that the customer address created by the fixture is not persisted in the database and cannot be retrieved by subsequent tests. To fix this, the Architect should use @magentoPersistDataFixture annotation, which creates a permanent data fixture that is not rolled back after each test execution2. This way, the customer address created by the fixture will be persisted in the database and can be accessed by subsequent tests. Changing the annotation to use @magentoApiDataFixture or specifying address_id in the annotation will not solve the issue, as they are not related to the persistence of the data fixture3. References: Data fixtures, Persistent data fixtures, API-functional tests

Option B is a valid solution because creating a new HTTP Context variable can allow for differentiating the public content cache for users who belong to a B2B company account. The HTTP Context variable can be used to modify the output of the header block accordingly, without affecting the performance or scalability of the site1

Option D is also a valid solution because creating a new custom condition for customer segments can enable targeting users who are part of a B2B company account. The customer segment can be used to modify the output of the header block accordingly, using layout updates or dynamic blocks. This solution can also leverage the existing customer segment functionality and avoid custom coding2

Option A is not a valid solution because switching the theme based on a virtual type can cause performance issues and increase the complexity of the site maintenance. Moreover, switching the theme can affect the entire site appearance, not just the header block3

Option C is not a valid solution because using the customer session data directly to modify the output of the header block can prevent the public content cache from working properly. The customer session data is private and cannot be cached, so this solution can negatively impact the performance and scalability of the site4

Option E is not a valid solution because checking if the current user is part of a B2B company within a block class can also prevent the public content cache from working properly. The block class logic is executed on every request, so this solution can negatively impact the performance and scalability of the site5

References:

1: https://experienceleague.adobe.com/docs/commerce-cloud-service/user-guide/architecture/starter-architecture.html?lang=en#http-context  2: https://experienceleague.adobe.com/docs/commerce-cloud-service/user-guide/marketing/customer-segments.html?lang=en  3: https://experienceleague.adobe.com/docs/commerce-cloud-service/user-guide/design/themes.html?lang=en  4: https://experienceleague.adobe.com/docs/commerce-cloud-service/user-guide/architecture/starter-architecture.html?lang=en#private-content  5: https://experienceleague.adobe.com/docs/commerce-cloud-service/user-guide/architecture/starter-architecture.html?lang=en#public-content

Using an iframe system for payment integration can help reduce the PCI scope and compliance burden for the merchant, as the payment data is collected and processed by the payment service provider (PSP) within the iframe, without touching the merchant’s website or server. This way, the merchant can leverage the PSP’s PCI certification and avoid storing or transmitting any sensitive cardholder data on their own system. The iframe also provides a secure barrier between the host webpage and the loaded page, preventing any access or manipulation of the payment data by malicious actors. To implement this approach, the merchant needs to embed the PSP’s payment form in their checkout page using an iframe element, and configure the communication between the iframe and the host page using JavaScript123.