Pass the Salesforce Architect Exams B2C-Commerce-Architect Questions and answers with CertsForce

For integrating the B2C Commerce platform with the client's OMS using REST services, the required configurations include:

Service Configuration: This specifies the service endpoints, HTTP methods, and any other service-specific settings necessary for the integration.

Service Profile Configuration: This defines the behavior of the service such as timeout settings, retry logic, and cache settings.

Service Credential Configuration: This involves setting up the credentials that will be used to authenticate the requests to the client’s OMS. These credentials are often managed securely through encrypted storage and retrieval mechanisms.

These configurations ensure secure, efficient, and reliable communication between the B2C Commerce platform and the client’s OMS, adhering to best practices in web service integration.

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 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.

Given the concerns about the reliability of the OMS, implementing scheduled batch exports ensures that order data is not lost due to potential OMS downtime and allows for reattempting failed exports. Option B uses SFTP for a high-frequency batch export, which can be scheduled to run multiple times a day, ensuring minimal delay in order synchronization while marking orders as exported upon successful transmission. Option C provides a similar safeguard but via web service, which can be scheduled to run hourly. Both methods enable tracking of export status and can handle temporary downtimes by reattempting the export until successful, aligning with the need for reliability in integration processes.

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.

When integrating a third-party service that relies on custom objects in B2C Commerce, the primary technical concern is the impact on performance and site stability related to the usage of these objects. Important considerations include:

Custom object quota: Ensuring that the use of custom objects does not exceed platform limits, which could impact performance or even prevent new data from being stored.

Retention or deletion needs: Proper management of custom object lifecycle is crucial to prevent data bloat and maintain database performance, including strategies for timely deletion or archiving of old data.

Addressing these concerns is critical to maintaining the performance and stability of the site while integrating third-party services that require extensive data handling.

For efficient caching of HTTP GET requests used to fetch product reviews, the best practice is to use a cached remote include combined with caching of the HTTP service itself (Answer D). This method involves caching the output of the remote service call at the service layer and reusing it for subsequent requests. This approach minimizes the number of calls to the remote service, reduces load times, and ensures that the displayed reviews are up-to-date as per the cache's freshness settings. It optimally balances the performance benefits of caching with the need to keep content like reviews current.

This approach addresses all concerns: data retention, reattempt on failure, and follow-up communication. By storing survey data in a custom object, data is preserved even if the API call fails, allowing for reprocessing. This method also facilitates sending follow-up emails by querying custom objects for surveys that were skipped, ensuring comprehensive coverage and reliability in data handling and customer engagement.

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.