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| Section | Objectives |
|---|---|
| Topic 1: Data Cloud Setup and Administration | - Manage Data Cloud permissions and security - Configure Data Cloud settings |
| Topic 2: Segmentation and Calculated Insights | - Create and manage segments - Explain calculated insights |
| Topic 3: Data Ingestion and Modeling | - Describe data streams and data sources - Explain data modeling concepts including Data Model Objects (DMOs) |
| Topic 4: Data Cloud Overview | - Explain the purpose and functionality of Data Cloud - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform |
| Topic 5: Activation | - Describe activation use cases - Configure activations to various targets |
| Topic 6: Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Topic 7: Identity Resolution | - Explain the purpose and configuration of Identity Resolution - Describe matching and reconciliation rules |
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NEW QUESTION # 65
How many calculated insights can be created per tenant?
Answer: A
Explanation:
The maximum number of calculated insights that can be created per tenant is 50. A calculated insight is a metric that defines and calculates a multidimensional measure on your data. You can use calculated insights to create segments and analyze your data in Data Cloud. You can also use calculated insights to create dashboards and reports in Tableau CRM. Reference: Calculated Insights
NEW QUESTION # 66
Cloud Kicks received a Request to be Forgotten by a customer.
In which two ways should a consultant use Data Cloud to honor this request?
Choose 2 answers
Answer: C,D
Explanation:
To honor a Request to be Forgotten by a customer, a consultant should use Data Cloud in two ways:
Add the Individual ID to a headerless file and use the delete from file functionality. This option allows the consultant to delete multiple Individuals from Data Cloud by uploading a CSV file with their IDs1. The deletion process is asynchronous and can take up to 24 hours to complete1.
Use the Consent API to suppress processing and delete the Individual and related records from source data streams. This option allows the consultant to submit a Data Deletion request for an Individual profile in Data Cloud using the Consent API2. A Data Deletion request deletes the specified Individual entity and any entities where a relationship has been defined between that entity's identifying attribute and the Individual ID attribute2. The deletion process is reprocessed at 30, 60, and 90 days to ensure a full deletion2. The other options are not correct because:
Deleting the data from the incoming data stream and performing a full refresh will not delete the existing data in Data Cloud, only the new data from the source system3.
Using Data Explorer to locate and manually remove the Individual will not delete the related records from the source data streams, only the Individual entity in Data Cloud. References:
Delete Individuals from Data Cloud
Requesting Data Deletion or Right to Be Forgotten
Data Refresh for Data Cloud
[Data Explorer]
NEW QUESTION # 67
Which permission setting should an administrator check if the custom CRM object is not available in New Data Stream configuration?
Answer: A
Explanation:
This permission setting should be checked if the custom CRM object is not available in New Data Stream configuration. The user who connects the Salesforce CRM connector must have View All permission for the custom object in the source CRM org.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_salesforce_crm.htm&type=5
NEW QUESTION # 68
How can attribute names be modified to match a naming convention in Cloud File Storage target?
Answer: B
Explanation:
You can modify the attribute names in the data model by editing the field label or API name of the corresponding field. This will change how the attribute name appears in the Cloud File Storage target. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=5
NEW QUESTION # 69
A healthcare client wants to make use of identity resolution, but does not want to risk unifying profiles that may share certain personally identifying information (PII).
Which matching rule criteria should a consultant recommend for the most accurate matching results?
Answer: B
Explanation:
Identity resolution is the process of linking data from different sources into a unified profile of a customer or an individual. Identity resolution uses matching rules to compare the attributes of different records and determine if they belong to the same person. Matching rules can be based on exact or fuzzy matching of various attributes, such as name, email, phone, address, or custom identifiers. A healthcare client who wants to use identity resolution, but does not want to risk unifying profiles that may share certain personally identifying information (PII), such as name or email, should use a matching rule criteria that is based on a unique and reliable identifier that is specific to the healthcare domain. One such identifier is the patient ID, which is a unique number assigned to each patient by a healthcare provider or system. By using the party identification on patient ID as a matching rule criteria, the healthcare client can ensure that only records that have the same patient ID are matched and unified, and avoid false positives or false negatives that may occur due to common or similar names or emails. The party identification on patient ID is also a secure and compliant way of handling sensitive healthcare data, as it does not expose or share any PII that may be subject to data protection regulations or standards. References: Configure Identity Resolution Rulesets, A framework of identity resolution: evaluating identity attributes and methods
NEW QUESTION # 70
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