B2C-Commerce-Architect Exam Dumps - Salesforce Architect Exams Questions and Answers

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.

To resolve the issue of violating thespi.basket.addResolveInSameRequestquota and to maintain the functionality of dynamically calculating shipping costs for items before they are added to the basket, the best approach is:

• Option D: Wrapping the adding of product and shipping cost calculation in a transaction, which is then rolled back to restore the original state. This method ensures that the system can calculate potential shipping costs without permanently altering the state of the basket. This approach keeps the basket's original state intact while allowing for multiple shipping calculations, effectively managing the load on system resources and adhering to platform quotas.

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

• Option Ainvolves 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 Dcalls 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.

Considering the existing metrics and forecasted 300% growth, the appropriate load testing targets for the new B2C Commerce site would be:

• 15000 visits per hour: This figure is calculated by applying the expected growth to the peak visits per hour (1000 visits), resulting in 4000 visits. The choice of 15000 provides a higher buffer to accommodate unforeseen spikes in traffic.
• 300000 page views per hour: Similarly, this is scaled up from the peak page views per hour (20000) considering the growth, ensuring the site can handle high demand and interactions.
• 3750 orders per hour: This target is based on the peak orders per hour (250) with the growth applied, allowing testing of the system's ability to handle transactions under significant load.

These targets ensure that the system is robust enough to handle increased traffic and transactions without performance degradation, crucial for maintaining customer satisfaction and operational stability.

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.

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.

For implementing CSRF (Cross-Site Request Forgery) protection correctly, especially in forms like promotion code submissions during checkout, best practices include:

• Option A (Ensure the CSRF protection is validated on form submission): It is crucial to validate the CSRF token upon the form's submission to ensure that the request originates from a legitimate source and corresponds to the user's intended actions, enhancing security against CSRF attacks.
• Option D (Only use POST methods over HTTPS): Using POST methods for transmitting form data helps mitigate the risk of CSRF attacks as opposed to GET methods which can be manipulated more easily via URL. Ensuring the communication is overHTTPS encrypts the transmission, securing the data from interception or tampering during transit.

These practices safeguard against common security vulnerabilities and ensure that the application adheres to secure coding standards.

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

• Option Bis 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 Dleverages 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.

The risks associated with the proposed real-time inventory update solution during flash sales are:

• Option A (The default rate limiter configuration for the web-service could cause the web-service to return an exception during high traffic): This is a critical risk because high traffic during flash sales could exceed the rate limits set for the web-service, leading to exceptions and potentially failing to update inventory in real-time.
• Option B (If the external hosted web-service is unreliable, it could be a point of failure in the site’s order placement flow): Reliance on an external web-service for crucial operations like inventory updates introduces a risk of downtime or performance issues if the service is unreliable, directly impacting the ability to complete orders during peak sales periods.

Both risks could severely disrupt operations during critical sales events, suggesting a need for robust contingency plans and potentially reevaluating the solution architecture to ensure reliability.