Salesforce B2C-Solution-Architect Exam With Confidence Using Practice Dumps

• A is correct because Salesforce Order Management does not have native support for multiple distribution centers and requires either an AppExchange package or custom Apex triggers to implement fulfillment rules based on custom attributes1.

Customer 360 Data Manager is a platform service that enables companies to connect customer data across Salesforce apps and create a unified customer profile. It uses advanced matching algorithms to identify and link customer records from different systems based on common attributes such as name, email, phone, address, etc. It also assigns a consistent Global Party ID to each customer record, which serves as a unique identifier across systems. Customer 360 Data Manager can be used across multiple brands within a single merchant environment by creating separate data spaces for each brand. Option B is incorrect because Customer 360 Data Manager can relate the IDs between systems without additional custom development. Option C is incorrect because Customer 360 Data Manager supports multiple brands within a single merchant environment. Option D is incorrect because B2C Commerce, Service Cloud, and Marketing Cloud do not automatically use a common core Customer Profile managed by Customer 360 Data Manager; they need to be connected and configured via Customer 360 Data Manager. References:

• https://www.salesforce.com/in/blog/2020/04/what-is-salesforce-customer-360.html
• https://help.salesforce.com/s/articleView?id=sf.c360_overview.htm&type=5

• Option A is correct because configuring Einstein Retargeting Recommendations in Marketing Cloud to automate segment generation for Journey Builder is a valid recommendation to improve the success of the automated campaign. Einstein Retargeting Recommendations uses machine learning to identify customers who are likely to purchase again based on their past behavior and preferences, and automatically creates segments for Journey Builder to send personalized messages and offers.
• Option D is correct because using Einstein Discovery to generate a retargeting score representing likelihood to purchase in the next three months is a valid recommendation to improve the success of the automated campaign. Einstein Discovery uses advanced analytics and AI to analyze data from multiple sources and generate predictive insights and recommendations. A retargeting score can help the company prioritize and target customers who have a high probability of buying again.
• Option B is incorrect because using SMS as a channel due to its significantly higher engagement rate as compared to email is not a valid recommendation to improve the success of the automated campaign. SMS may have a higher engagement rate than email, but it also has a higher cost and a lower personalization potential. SMS should be used sparingly and strategically for time-sensitive or urgent messages, not for general re-engagement campaigns.
• Option C is incorrect because generating personalized coupon codes in B2C Commerce and sending them through Marketing Cloud to be able to effectively track impact of campaigns is not a valid recommendation to improve the success of the automated campaign. Personalized coupon codes may increase conversions and loyalty, but they also reduce margins and profitability. Coupon codes should be used selectively and carefully for customers who have a high lifetime value or a high retargeting score, not for all customers who made purchases in the last 24 months.

References:

• [Get Started with B2C Solution Architect Cert Prep - Trailhead]
• [Certification - B2C Solution Architect - Trailhead]
• B2C Solution Architect Certification Guide | Salesforce Ben