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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integration Strategy | 23% | - Select integration patterns and APIs - Evaluate tools, middleware, and custom development needs - Design secure, scalable, and high-performance integrations |
| Topic 2: Data Models and Management | 25% | - Define data models and relationships across systems - Manage data quality, migration, and lifecycle - Plan data integration, synchronization, and governance |
| Topic 3: Discovery and Customer Success | 27% | - Define success criteria and implementation roadmap - Validate architecture, systems of record, and risks - Facilitate customer engagement and requirements gathering |
| Topic 4: Functional Capabilities and Business Value | 7% | - Evaluate product features and business outcomes - Map customer journeys to B2C solutions - Recommend suitable Salesforce products for business processes |
| Topic 5: Architecture Design | 18% | - Address security, compliance, and data residency requirements - Design multi-cloud solution architecture - Illustrate interactions between Salesforce clouds and third-party systems |
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NEW QUESTION # 119
A company had strong new-customer growth for the year but has noticed that lifetime value has been declining. They want to run automated re-engagement campaigns with customers who made purchases in the last 24 months but are unsure of where to start. They have Service Cloud, Marketing Cloud, and B2C Commerce implemented and recently began using Tableau CRM (formerly Einstein Analytics).
Which two recommendations should a Solution Architect provide to the company to improve the success of the automated campaign? Choose 2 answers
Answer: C,D
Explanation:
* 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
NEW QUESTION # 120
Universal Containers (UC) Is planning a campaign for its newly-launched product categories. They have already run similar campaigns in the past and want to cross-sell this new product to their existing customers.
To achieve this, they are creating customer group segments using its e-commerce strategies while adhering to the current customer's compliance preferences for previous campaigns.
Which two products should a Solution Architect include in the architecture to meet UC's needs?
Answer: A
Explanation:
Marketing Cloud and B2C Commerce are the two products that a Solution Architect should include in the architecture to meet UC's needs. Marketing Cloud allows UC to create customer group segments using its e- commerce data and send personalized messages across channels, while adhering to the current customer's compliance preferences for previous campaigns. B2C Commerce enables UC to cross-sell its new product categories on its online storefront and provide a seamless shopping experience for its customers.
NEW QUESTION # 121
A company had strong new-customer growth for the year but has noticed that lifetime value has been declining. They want to run automated re-engagement campaigns with customers who made purchases in the last 24 months but are unsure of where to start. They have Service Cloud, Marketing Cloud, and B2C Commerce implemented and recently began using CRM Analytics.
Which two recommendations should a Solution Architect provide to the company to improve the success of the automated campaign?
Choose 2 answers
Answer: A,B
Explanation:
These answers are correct because they are recommendations that can improve the success of the automated re-engagement campaign. Using SMS as a channel can increase the engagement rate as compared to email, as SMS messages have higher open and response rates. Configuring Einstein Recommendations in Marketing Cloud can automate segment generation for Journey Builder, which can help create personalized and relevant messages based on customer data and behavior. References: https://www.salesforce.com/products/marketing- cloud/best-practices/sms-marketing-statistics/ https://help.salesforce.com/s/articleView?id=sf.
mc_pb_einstein_recommendations.htm&type=5
NEW QUESTION # 122
Northern Trail Outfitters (NTO) is a clothing and outdoor specialist retailer. NTO has had success with its B2C store using B2C Commerce, supported by Service Cloud and Marketing Cloud for customer service and email campaigns, respectively.
Now, NTO wants to increase its revenue by making personalized product recommendations using Einstein Web & Email Recommendations in Marketing Cloud. These recommendations should be consistent across email, storefront, and service console.
Which two things should a Solution Architect consider before recommending this approach?
Choose 2 answers
Answer: B,D
Explanation:
A: The service console does not have a native integration with Einstein Web & Email Recommendations, so a customized Lightning component is needed to display the recommendations based on the customer's browsing and purchase history. C. Each storefront should be linked to its own Marketing Cloud Business Unit to ensure relevant recommendations based on the product catalog and customer behavior of each market. This also provides data segregation and customization for each storefront. References: https://help.salesforce.com/s/articleView?id=sf.mc_pb_einstein_web_recommendations.htm&type=5
https://help.salesforce.com/s/articleView?id=sf.mc_pb_product_catalog.htm&type=5
NEW QUESTION # 123
At Universal Containers, each admin and developer use a separate developer pro sandbox. Configuration and code are then migrated to a partial data sandbox for combination and initial testing. Once approved the configuration and code are then migrated to a full copy sandbox for final load and regression testing before going to production.
when should the full copy sandbox be refreshed?
Answer: C
Explanation:
This answer is correct because it is a recommended time to refresh the full copy sandbox. Refreshing the full copy sandbox after each major release to production can help ensure that the sandbox has the most updated data and metadata from production, which can facilitate testing and development activities. Refreshing the full copy sandbox too frequently can be costly and time-consuming, as it consumes a lot of storage space and requires data masking or anonymization. References: https://help.salesforce.com/s/articleView?id=sf.
data_sandbox_implementation_tips.htm&type=5
NEW QUESTION # 124
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