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How does Data Cloud handle an individual's right to be forgotten?
A. Deletes the specified Individual and records from any DMO/DLO related to the Individual.
B. Deletes the specified Individual and records from any DSO mapped to the Individual DMO.
C. Deletes the records from all DSOs and any downstream DMOs are updated at the next scheduled ingestion.
D. Deletes the specified Individual record and its Unified Individual Link record.
Explanation:
This is how Data Cloud handles an individual’s right to be forgotten. It deletes the individual record from the Individual data model object (DMO) and any related records from the data stream objects (DSOs) that are mapped to it. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_individual.htm &type=5
Which three out-of-the-box connectors are available for Data Cloud?
A. Marketing Cloud
B. B2C Commerce
C. Slack Connector
D. Amazon S3
E. Amazon Redshift Connector
Explanation:
These three out-of-the-box connectors are available for Data Cloud. They allow you to ingest data from Marketing Cloud, B2C Commerce, or Amazon S3 into Data Cloud and map it to the Data Cloud data model. References: https://help.salesforce.com/s/articleView id=sf.c360_a_connectors.htm &type=5
The website team at Cumulus Financial Services wants to understand which identified users have browsed the jobs page on their website at least twice within the last 12 hours. Which component should a consultant recommend to achieve this goal?
A. Streaming Insight
B. Calculated Insight
C. Streaming Data Transformation
D. Segment
Explanation:
This component should be recommended to achieve the goal of understanding which identified users have browsed the jobs page on their website at least twice within the last 12 hours. Streaming Insight allows you to query and filter data from real-time streams using window functions and aggregation functions. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm &type=5
Which two characteristics describe the Customer 360 data model?
A. A Conceptual Model
B. A Static Model
C. A Product Sold By Salesforce
D. A Canonical Model
Explanation:
The Customer 360 data model is a conceptual model and a canonical model. A conceptual model is a high-level representation of the entities and relationships in a domain of interest, without specifying any implementation details. A canonical model is a common and consistent data model that can be used across different systems and applications. References: [Customer 360 Data Model Overview], [Conceptual Model], [Canonical Model]
Which two features are impacted by the timezone setting in the org Data Cloud is provisioned in?
A. Segment Schedule
B. Identity Resolution
C. Ingestion Schedule
D. Activation Schedule
Explanation:
These two features are impacted by the timezone setting in the org Data Cloud is provisioned in. The segment schedule determines how often a segment is refreshed based on the selected timezone. The activation schedule determines how often a segment is exported to an activation target based on the selected timezone. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_schedule.htm &type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_activation_schedule.htm &type=5
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