B2C-Commerce-Architect Salesforce Certified B2C Commerce Architect (SP25) Free Practice Exam Questions (2025 Updated)

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.

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.

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 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 Northern Trail Outfitters to ensure that only products available in a customer’s closest physical store are shown:

Option B is effective because it organizes inventory by store-specific categories, which can then be dynamically linked to a customer’s location via their postal/zip code. This allows the system to filter search results based on the relevant category that corresponds to the closest store.

Option D leverages separate pricebooks that are specific to each store, enabling product availability to be managed through price refinements. This method also uses the customer's zip code to activate the appropriate pricebook, ensuring that only products priced (and thus available) in the nearest store are displayed.

Both methods are scalable and integrate seamlessly with the existing infrastructure of the Salesforce B2C Commerce platform.

In scenarios where a third-party service impacts page performance, implementing a Circuit Breaker pattern (Option C) can prevent the service from becoming a bottleneck. This pattern helps manage failing service calls by temporarily disabling the service interaction when failures reach a certain threshold, allowing it to recover. Asynchronously loading the data (Option E) ensures the page's primary content loads without delay, while data from the third-party service is fetched in the background, improving the user's perceived performance and page load times.

To address the issue of pricing discrepancies on the Product Detail Page (PDP) due to promotions expiring between the page view and checkout, the Architect should suggest modifying the page cache to vary by price and promotion (Answer C). This solution allows the cache to store different versions of the page based on the current price and applicable promotions. By doing so, it ensures that customers always see the most accurate pricing information depending on the active promotions at the time of their visit, thereby improving the user experience and reducing confusion at checkout. This method also minimizes the performance impact compared to completely disabling cache, as it still allows caching but in a more dynamically controlled manner.

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.

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.

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.

For conducting load testing of new integrations with a payment provider and Order Management System, it is recommended to use the Development Instance of the existing Realm (Option B). This approach ensures that any issues found during testing do not affect the live production environment, while still allowing tests to be conducted in an environment that mirrors the production setup as closely as possible. This minimizes the risk of disruptive downtime or customer-facing errors when the integration goes live.

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.

In a production environment, logging sensitive customer information such as credit card details (PAN, CVV, expiration date) can lead to severe security and compliance issues, specifically violating PCI DSS (Payment Card Industry Data Security Standard) requirements. The standards strictly prohibit the storage of CVV codes and mandate that any PAN displayed must be masked. Storing such data in logs is not only a risk for data breaches but also non-compliance with these standards can lead to penalties.

Option A: Including the customer's card name along with the full credit card number in logs is a clear violation of PCI DSS requirements, which stipulate that no more than the last four digits of the card number may be displayed.

Option B: Logging the card security code (CVV) and expiration date is explicitly prohibited by PCI DSS, which requires that sensitive authentication data, including CVV, must never be stored post-authentication, even if it is encrypted.

In Salesforce Commerce Cloud, the standard practice for organizing WSDL files for SOAP services is to place them in the /cartridge/webreferences directory. 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.

The appropriate tool to verify that the problem is indeed caused by the inventory check at the beginning of checkout is the Pipeline Profiler in Business Manager. This tool allows an architect to analyze the performance of specific code execution paths, including those involving third-party API calls. It helps identify bottlenecks and inefficiencies in the pipeline execution, particularly useful in situations where custom code like inventory checks may impact site functionality. The use of the Pipeline Profiler would enable the architect to pinpoint if the custom inventory check is causing the checkout process to fail or redirect users inappropriately.

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.

To manage custom settings for a product finder that needs to be accessible both on the storefront and in a job context, storing these settings in a Custom Object with an Organizational Scope is most appropriate. This allows the settings to be centralized and accessible across different sites and job contexts, ensuring consistency and reusability of the configurations:

Organizational Scope: Enables settings to be shared across multiple sites without duplicating data, maintaining a single source of truth for configurations that affect various parts of the organization.

Custom Object: Provides the flexibility to define specific attributes and values that are unique to the business requirements of the product finder and other integrations.

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.