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| Section | Weight | Objectives |
|---|---|---|
| Identity Resolution | 14% | - Conflict resolution - Identity use cases - Unified profile creation - Matching and reconciliation rules |
| Data Cloud Setup and Administration | 12% | - Data streams and data bundles - Data spaces and configuration - Monitoring and maintenance tools - Permissions and access control |
| Data Cloud Overview | 18% | - Architecture and ecosystem - Business value and use cases - Core concepts and terminology |
| Act on Data | 18% | - Activation concepts and use cases - Process automation and triggering - Troubleshooting activations - Attribute usage and management |
| Segmentation and Insights | 18% | - Insight implementation - Segment membership analysis - Calculated vs streaming insights - Segment creation and configuration |
| Data Ingestion and Modeling | 20% | - Transformation and mapping - Data validation and inspection - Data modeling best practices - Ingestion from various sources |
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NEW QUESTION # 17
An organization is looking to use Data Cloud to unify data across 5 Salesforce orgs, 2 Marketing Cloud accounts, 6 Amazon S3 Buckets, and 4 Personalization datasets. As far as connection limits are concerned, which platform is going to present a challenge?
Answer: C
Explanation:
This platform is going to present a challenge in terms of connection limits for Data Cloud. Data Cloud supports up to 3 Marketing Cloud connections per org, which means that only 3 Marketing Cloud accounts can be connected as data sources or activation targets. The other platforms have higher or no limits for connections.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_limits.htm&type=5
NEW QUESTION # 18
Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
Answer: B
Explanation:
This option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloudon a daily basis. You can use Automation Studio to export profile attributes to a data extension and use the Profile API to send them to Data Cloud.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundatio
NEW QUESTION # 19
What are the two minimum requirements needed when using the Visual Insights Builder to create a Calculated Insight?
Answer: C,D
Explanation:
Explanation
These two requirements are needed when using the Visual Insights Builder to create a Calculated Insight. A dimension is an attribute that can be used to group or filter data, such as product category or customer segment. A measure is an attribute that can be used to perform calculations, such as revenue or quantity.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights_create.htm&type=5
NEW QUESTION # 20
To import campaign members into a campaign in CRM a user wants to export the segment to Amazon S3. The resulting file needs to include CRM Campaign ID in the name. How can this outcome be achieved?
Answer: A
Explanation:
You can use the filename specification option in the Amazon S3 activation to customize the name of the file that is exported. You can use variables such as {campaignId} to include the CRM campaign ID in the file name.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5
NEW QUESTION # 21
How does Data Cloud handle an individual's Right to be Forgotten?
Answer: C
Explanation:
Data Cloud handles an individual's Right to be Forgotten by deleting the specified Individual and records from any data model object/data lake object related to the Individual. This means that Data Cloud removes all the data associated with the individual from the data space, including the data from the source objects, the unified individual profile, and any related objects. Data Cloud also deletes the Unified Individual Link record that links the individual to the source records. Data Cloud uses the Consent API to process the Right to be Forgotten requests, which are reprocessed at 30, 60, and 90 days to ensure a full deletion.
The other options are not correct descriptions of how Data Cloud handles an individual's Right to be Forgotten. Data Cloud does not delete the records from all data source objects, as this would affect the data integrity and availability of the source systems. Data Cloud also does not delete only the specified Individual record and its Unified Individual Link record, as this would leave the source records and the related records intact. Data Cloud also does not delete only the specified Individual and records from any data source object mapped to the Individual data model object, as this would leave the related records intact.
Requesting Data Deletion or Right to Be Forgotten
Data Deletion for Data Cloud
Use the Consent API with Data Cloud
Data and Identity in Data Cloud
NEW QUESTION # 22
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