Salesforce Certified Data Cloud Accredited Professional Practice Test - Questions Answers, Page 7

The data streams that use the Marketing Cloud Connector refresh data using Marketing Cloud's Automation Studio. The Marketing Cloud Connector is a feature that allows you to stream data from Marketing Cloud to Data Cloud in near real time. The connector uses Automation Studio to schedule and run data extracts from Marketing Cloud data extensions and send them to Data Cloud via SFTP. You can configure the frequency and time of the data extracts in Automation Studio.

Reference:Marketing Cloud Connector

The type of the Event Time Field while ingesting Engagement data should be Immutable. Immutable means that the field value cannot be changed once it is ingested. The Event Time Field is a mandatory field for Engagement data that represents the timestamp of when an event occurred. It is important to keep this field immutable to ensure the accuracy and consistency of the event data.

Reference:Engagement Data Model

If no file name is specified in AWS S3 data stream during ingestion, the system does not fetch any file and the data stream shows an error. AWS S3 data stream is a feature that allows you to stream data from Amazon Web Services Simple Storage Service (AWS S3) to Data Cloud in near real time. You need to specify the file name or prefix of the files that you want to ingest from your S3 bucket. If you leave this field blank, the system cannot find any matching files and returns an error message.

Reference:AWS S3 Data Stream

To create segments of users based on their Customer Lifetime Value, the customer needs to first ingest the source data into Data Cloud, then map the data to the Customer 360 data model, then create a calculated insight using the formula editor, and finally use the calculated insight in segmentation.

Reference: [Data Ingestion], [Data Mapping], [Calculated Insights], [Segmentation]

Data Cloud can address these two common use cases by providing a platform that allows customers to ingest, map, enrich, and activate data from various sources using the Customer 360 data model, and by enabling customers to create segments, insights, and activations based on their customer data.

Reference: [Data Cloud Overview], [Customer 360 Data Model], [Data Activation]

Data Cloud's primary value to customers is that it provides a platform that enables customers to create a unified view of a customer and their related data across different channels and systems, using the Customer 360 data model as the foundation.

Reference: [Data Cloud Overview], [Customer 360 Data Model]

The Salesforce CRM connector supports ingestion of standard objects and custom objects from Salesforce CRM. Standard objects are predefined objects that are included with Salesforce CRM, such as Account, Contact, Lead, etc. Custom objects are objects that customers can create to store information that is specific to their organization or industry.

Reference: [Salesforce CRM Connector], [Standard Objects], [Custom Objects]

The Text field type should be chosen to preserve leading zeros in the purchase order number, as this field type stores alphanumeric characters as strings. The Number and Decimal field types store numeric values as numbers, which would remove any leading zeros. The Serial field type is not a valid field type in Data Cloud.

Reference: [Field Types]

The custom 'Customer_Email_c' object related to the standard 'Contact' object in Salesforce CRM should be mapped to the Contact Point Email entity in the Customer 360 data model. This entity represents an email address that is associated with an individual or an account contact.

Reference: [Contact Point Email Entity]