Salesforce Salesforce Certified B2C Commerce Architect (SP25) B2C-Commerce-Architect Exam Dumps: Updated Questions & Answers (June 2025)

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.

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.

If multiple hook.js files are referring to the same basket calculation hook within a LINK cartridge integration, it could lead to the hook being executed multiple times during a single tax call. This often occurs due to redundancy in the integration, where multiple scripts are set to trigger the same function, inadvertently causing duplicate calculations. It's essential to ensure that only one script is responsible for invoking specific hooks to prevent this kind of redundancy and inefficiency in the system.

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 a service that connects to an Email Marketing System where the endpoint can directly parse data posted by the customer from the storefront for marketing material subscriptions, documenting the service as an HTTP service is appropriate. This type of service will likely involve straightforward HTTP requests with authentication and encoding to ensure data integrity and security. The HTTP service type supports these requirements effectively, facilitating secure, reliable data transmission between the storefront and the email marketing system.

For handling multiple pricing groups with specific discounts or prices for different customer groups, the optimal approach involves setting up separate customer groups for customers, employees, and vendors (Answer A). This setup allows the storefront to apply specific price books to each group accurately based on their designation. Furthermore, utilizing campaigns and multiple promotions tailored to each customer group (Answer C) facilitates targeted marketing efforts and pricing strategies effectively. These practices ensure that each group receives relevant pricing adjustments and promotional offers, thereby enhancing the shopping experience and managing financial transactions efficiently within Salesforce B2C Commerce.

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.

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.

In the given scenario, where the Email Marketing System (EMS) requires order data to send product recommendations based on stock availability, it is crucial that the most up-to-date and relevant data is used. Here’s why the chosen data sources are appropriate:

Order and Customer Data from Production: Since order and customer interactions occur in real-time, exporting this data from the Production environment ensures that the most current information is used for the email marketing campaigns. This accuracy is vital for personalization and timeliness of the communications sent to customers.

Product and Inventory Data from Staging: Given that the staging environment is typically one step behind production and is used for testing before changes go live, it provides a stable dataset that reflects what is currently live without the risk of including any unvetted changes. This setup is suitable for inventory and product data, which are less susceptible to minute-by-minute changes compared to order data and can be pre-validated before use in marketing efforts.

This configuration helps ensure that the EMS has access to reliable data reflecting current stock levels and product details, which is essential for crafting accurate marketing messages based on product availability.

B2C Commerce does not directly support the import of hashed passwords for use in authentication due to security protocols and the platform's password management system. The best approach is to import customer records without the password field. Upon their first login attempt on the new system, customers would be prompted to reset their password. This method ensures that password security is maintained according to B2C Commerce standards and that customer data remains secure during the transition from the old platform.