Salesforce B2C-Commerce-Architect - Salesforce Certified B2C Commerce Architect (SP25)

For customizing the Storefront Reference Architecture to meet specific requirements, the following items would require detailed technical documentation:

Option A (One Click checkout process): Implementing a one-click checkout process involves significant customization to streamline the checkout flow, potentially requiring integration with payment providers and modifications to the user session management.

Option C (Log in through a standard OAuth2 social media account): Integrating OAuth2 for social media logins involves handling authentication tokens, user sessions, and potentially syncing user data with the B2C Commerce profiles, all of which require detailed security and integration documentation.

These customizations require careful planning and implementation to ensure they work seamlessly with existing Storefront Reference Architecture components and meet security standards.

For integrating a LINK cartridge that is certified for pipelines and controllers into a system using the Storefront Reference Architecture (SFRA), which primarily uses scripts instead of the older pipeline technology, the architect should update the job pipelines to work as custom job steps. This approach allows the existing LINK cartridge functionalities to be maintained while making them compatible with the SFRA framework. Custom job steps enable more flexibility and the ability to leverage the full capabilities of SFRA, ensuring that the jobs run correctly within the newer architecture.

This design maximizes efficiency and concurrency. By having the jobs that import products, stores, prices, and content run in parallel, the system can handle multiple data streams simultaneously, reducing total processing time. The sequential execution of importing categories followed by reindexing ensures that all new and updated information is properly indexed and available for site use, following the completion of the import of more frequently updated data. This order respects dependencies between steps and aligns with best practices for handling complex data workflows in B2C Commerce environments.

To efficiently use the REST-based Address Verification Service (AVS) while maintaining security, it is crucial to manage token usage and refresh effectively. Using a custom cache to store the token (Answer C) prevents unnecessary authentication calls by reusing the valid token, thus reducing the number of chargeable requests. Implementing HTTPService caching for the client authentication call (Answer D) optimizes the performance by caching the response, thereby avoiding repetitive and unnecessary calls. Lastly, employing a scheduled job to regularly update and store the token in a custom object (Answer E) ensures that the token is always up-to-date and available for use without repeated authentication, thus optimizing the cost and efficiency of using the AVS.

To implement a specific cache period for Page Designer pages in SFRA:

Option A involves creating a new Page.js controller in the client’s cartridge, where the existing Page-Show route can be modified to include a custom caching logic. This ensures that the specific caching requirements for Page Designer pages are met without altering the base functionality for other pages.

Option D calls for extending the existing cache.js module in the client’s cartridge to include a function specifically for Page Designer caching. This allows for reusing the existing caching logic while adding enhancements specific to the Page Designer pages, thus maintaining efficiency and clarity in the codebase.

Both options provide a clean, maintainable approach to customizing caching for specific requirements in SFRA, avoiding disruptions in other areas of the site functionality.

Two plausible reasons for some generic mappings not being created despite the SFTP job running are: A) the system reached its limit for the maximum number of generic mappings allowed, and C) there was an invalid format in one or more of the .csv files processed. When the maximum threshold for mappings is reached, the system cannot create additional mappings, thus stopping any further imports from being registered as custom objects. Additionally, if .csv files are incorrectly formatted, the job would fail to create mappings for those files, leading to the absence of corresponding custom objects in Business Manager. It’s crucial to ensure that file formats adhere to expected specifications and that system limits are adequately managed to avoid such issues.

For migrating historical orders from a custom eCommerce platform to B2C Commerce:

Option D: Involves receiving the exported order file, processing it into the B2C Commerce schema to ensure compatibility, and then coordinating with B2C Commerce Support for importing these orders into the live environment. This process ensures that the orders are correctly formatted and integrated, maintaining data integrity and continuity of business analytics and records.

This approach is essential for a successful migration that maintains the operational and historical integrity of order data within the new platform.

The optimal solution for this requirement is to modify the search results dynamically based on the user's customer group membership. This approach:

Ensures that all users can navigate the same catalog and categories without seeing separate categories for special segments.

Dynamically includes or excludes products from search results based on the user's membership in the special segment, effectively using existing catalog structures while personalizing product visibility.

Maintains scalability by leveraging existing catalog and category infrastructure without needing additional custom attributes for navigation purposes.

This method aligns with best practices for creating personalized customer experiences in B2C Commerce without complicating catalog management.

To resolve the issue of Cross Site Scripting (XSS) where the quick search is not escaped, the developer should use the tag with the 'jshtml' encoding option (Answer B). This method ensures that any JavaScript included in the search phrase is properly escaped, preventing the execution of potentially malicious scripts. The 'jshtml' encoding is specifically designed to encode text for HTML contexts where JavaScript is embedded, providing a secure way to handle user input in Salesforce B2C Commerce.