Northern Trail Outfitters (NTO) recently implemented the Service Cloud Connector between B2C Commerce and Service Cloud. They released a new feature that allows customers to add their favorite National Park to their profile. After an attempt to help a customer, a
service agent informs the Director of IT that they cannot see or update the new National Park value on the profile in the Service Cloud console.
What should the Solution Architect keep in mind to avoid data exchange issues after implementation?
The fieldMapping custom settings in Service Cloud define how the attributes from the Commerce Profile are mapped to the fields on the Service Contact. If the nationalParks attribute was not mapped, then the service agent would not be able to see or update it in the Service Cloud console. Reference: https://help.salesforce.com/s/articleView?id=sf.b2c_service_cloud_connector_field_mapping.htm&type=5
An organization operating more than 20 beauty, personal care, and health brands wants to move from its on-premise CRM system to Service Cloud and Marketing Cloud. Because a customer's privacy and marketing preferences can vary based on the brand, the organization needs to track those preferences to run consent-based marketing campaigns.
Which consideration should a Solution Architect keep in mind with respect to consent preferences in Marketing Cloud with the consent data model?
This answer is correct because the consent data model in Marketing Cloud allows for multiple contacts per individual customer, each with their own consent preferences for different brands. This enables consent-based marketing campaigns across multiple brands in a single org. Reference: https://help.salesforce.com/s/articleView?id=sf.mc_cab_consents.htm&type=5
A luxury retailer is about to implement B2C Commerce and Marketing Cloud for their online presence. They are well known for being open with their customers when it comes to their customers' purchases. For example, if a customer asks for a record of their recent purchases, they provide it very quickly within their stores. They would like this to reflect in their online presence as well.
Given that requirement and the requirement to adhere to global data privacy acts, what are two out-of-the-box features the retailer should enable across these clouds when it comes to providing customers access to their own data?
Choose 2 answers
A) The Contact Data Portability report in Marketing Cloud is a feature that allows creating a report containing subscriber data related to a single contact, such as email address, name, phone number, preferences, etc. This report can be used to provide customers access to their own data or comply with data privacy regulations, such as GDPR or CCPA. B. The Customer Data Snapshots report in Commerce Cloud is a feature that allows creating a report containing purchaser data related to a single customer, such as order history, payment methods, addresses, etc. This report can be used to provide customers access to their own data or comply with data privacy regulations, such as GDPR or CCPA. Reference: https://help.salesforce.com/s/articleView?id=sf.mc_overview_contact_data_portability.htm&type=5 https://documentation.b2c.commercecloud.salesforce.com/DOC1/topic/com.demandware.dochelp/content/b2c_commerce/topics/admin/b2c_customer_data_snapshots.html
A merchant wants to store past purchase history in Marketing Cloud to use for segmentation and personalization of promotional emails.
All data must be encrypted at rest to comply with the merchant's security standards.
Which solution is appropriate?
Field Level Encryption is a feature that allows encrypting data at field level in Marketing Cloud. It encrypts data at rest to facilitate compliance with data privacy and security regulations. It also allows importing encrypted data into Marketing Cloud and decrypting it at send time. Reference: https://help.salesforce.com/s/articleView?id=sf.mc_overview_field_level_encryption.htm&language=en_US&type=5
Northern Trail Outfitters (NTO) is releasing a new ''Track-My-Hike" feature to their mobile app that allows users to track their hiking paths and distance as well as send emergency alerts in case they do not respond for a specific period.
This data is stored and visible from both the mobile app and on their profile in the web store. They expect up to 10,000 users to use this feature per month, with data points being tracked every minute over the average hiking period of 8 hours. 3
Which solution is appropriate for hosting this kind of data?
Heroku is a cloud platform that allows developers to build, run, and scale applications using various languages and frameworks. Postgres is a relational database that can store large amounts of structured data. A custom solution using Heroku and Postgres can handle the high volume and frequency of data points generated by the ''Track-My-Hike'' feature, as well as provide scalability and flexibility for future enhancements. Reference: https://www.heroku.com/home https://www.postgresql.org/
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