Free Salesforce B2C-Commerce-Architect Practice Exam with Questions & Answers

When facing a deprecated API that is used in a LINK integration cartridge, the recommended approach is to check for an updated version of the cartridge that may have replaced the deprecated API with a supported one. If an update is available:

• Integrate the updated cartridgeinto the site, ensuring compatibility with the current site configuration.
• Re-apply customizationsthat were made to the original cartridge to maintain functional consistency.
• Thorough testingshould be conducted to ensure that the integration works seamlessly without causing disruptions in the site's functionality.

This approach minimizes effort by leveraging updates provided by the cartridge vendor while ensuring the site remains functional and compliant with current API standards.

In Salesforce Commerce Cloud, the standard practice for organizing WSDL files for SOAP services is to place them in the/cartridge/webreferencesdirectory. This folder is specifically designed for storing web service definitions (WSDLs), ensuring they are managed in a structured manner within the cartridge. This organization aids in maintaining clean architecture and simplifies access to these service definitions for development and maintenance purposes.

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.

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.

For logging practices in a complex LINK cartridge integration, the recommendation is:

• Get logger for cartridge-specific category (C): This practice allows for more precise and relevant logging by focusing on the specific cartridge, making troubleshooting more efficient.
• Report debug level message for the back-end asynchronous communication: This ensures that all detailed interactions are logged, providing valuable data for diagnosing issues.
• Report all errors at error level message: This categorizes all critical issues under error logs, which is essential for quick identification and resolution of problems affecting the system's operations.

This structured logging strategy enhances the ability to monitor and troubleshoot the system effectively, especially in complex integrations where multiple components interact asynchronously.

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.

Reducing the basket lifetime is a strategic approach to minimizing the impact of disabling a promotional coupon. This action will cause baskets that may still contain the now-disabled coupon to expire sooner, thereby reducing the potential volume of calls to the Call Center from customers inquiring about the coupon. This method also avoids the drastic measure of clearing all existing baskets or restarting the production instance, which could disrupt user experience and lead to further customer dissatisfaction.

The provided data schema includes several fields that do not match the stated business requirements, which focus on the custom dimensions and materials of the containers:

• Option A: The inclusion of unique identifiers for materials and color fields in the data schema suggests a level of detail and structure around these attributes that is not reflected in the business requirements. If the business does not require tracking or differentiating materials beyond just naming them, this might be unnecessarily complex.
• Option D: The data schema includes a Color_ID field, which implies the ability to specify the color of the container. However, the business requirements do not mention color as a customization option available to customers. This discrepancy needs to be addressed to ensure that the database design aligns with actual business needs.

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.

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.