Salesforce-Data-Cloud Salesforce Data CloudAccredited Professional Exam (SU24) Questions and Answers

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

This option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on 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_foundation.htm &type=5

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

These data sources are available from Marketing Cloud as a starter bundle. They provide basic contact data, such as email address, mobile number, and device ID, as well as engagement data, such as email opens, clicks, bounces, unsubscribes, SMS sends, deliveries, opt-outs, and push sends, opens, and opt-outs. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm &type=5

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

The data types can be changed during ingestion before the Data Source Object (DSO) is created. A DSO is a container for ingested data that defines the schema, format, and metadata of the data. Data types can be changed in the Data Explorer before creating a DSO by using the Edit Schema option. Once a DSO is created, the data types cannot be changed. References: Create a Data Source Object

One possible reason why a new custom field is not available in the data stream is that the Salesforce Integration User, which is used to connect to the CRM source, does not have “Read” permissions on that field2. To fix this issue, the administrator needs to grant the appropriate permissions to the Integration User profile or permission set.

The Source Sequence reconciliation rule allows you to sort your data sources in order of most to least preferred for inclusion in a unified profile9. For example, you can specify that data from Marketing Cloud should have higher priority than data from Service Cloud when selecting attributes such as first name or last name.

This is the correct formula to display the value of the raw data column of “RetailPrice” plus an additional 5 percent. The formula uses the sourceField function to access the raw data column, and then multiplies it by 1.05 to add 5 percent. The formula is case-sensitive, so the column name must match exactly with the raw data column name. References: [Formula Editor], [sourceField Function]

This is what it means to build a trust-based, first-party data asset. It involves respecting the privacy and preferences of individuals who share their data with an organization and ensuring that the data is used in a responsible and ethical way. References: https://www.salesforce.com/products/genie/overview/

These two applications automatically create activation targets when they are connected to Data Cloud. You can use these targets to activate segments or calculated insights to these applications. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_activation.htm &type=5

 The sales order subject area defines the revenue or quantity for an opportunity by product family. It also includes information about the opportunity stage, close date, and owner. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_sales_order.htm &type=5

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. References: AWS S3 Data Stream

Numeric is the only type of measures that support aggregate functions. Measures are numeric fields that can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. For example, you can use a measure to calculate the total revenue or the average order value from your data. Date, Text, and Boolean are not types of measures, but types of dimensions. Dimensions are fields that can be used to group or filter data, but not to perform calculations. References: Measures and Dimensions

To track the daily transaction volume for each customer in real time and send out a notification as soon as it detects volume outside a customer’s normal range, the administrator should use a Streaming Insight paired with a Data Action. A Streaming Insight is a metric that is calculated on streaming data as it is ingested into Data Cloud, allowing near-real-time analysis of customer behavior. A Data Action is an action that is triggered by a Streaming Insight, such as sending an email, updating a record, or calling an API. By using these features, the administrator can monitor and respond to customer transactions in real time.

The Email field from a CRM Contact object 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. References: [Contact Point Email Entity]

 These three components of Data Cloud can be bundled within a Data Kit. A Data Kit is a package that contains data model objects, segments, and data streams that can be installed in another Data Cloud org. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_kit.htm &type=5

These two ways can help Data Cloud honor a request to be forgotten by a customer. The Consent API allows you to set a consent flag for an individual that prevents further processing of their data and deletes their records from source data streams. The delete from file functionality allows you to upload a file with individual IDs that will be deleted from Data Cloud. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm &type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_from_file.htm &type=5

The app details page shows the status of the app, such as active, inactive, or error. The tenant specific endpoint is a unique URL that is generated for each app and used to send data to Data Cloud from the web or mobile SDK. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm &type=5

This action should be performed to accommodate the request to delete personal data in Data Cloud. The Consent API allows you to set a consent flag for an individual that prevents further processing of their data and deletes their records from source data streams. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm &type=5

Value suggestion is a feature of Data Cloud that allows you to identify and select text attributes from a picklist of options. You can use value suggestion to standardize values across different data sources and improve data quality. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_value_suggestion.htm &type=5

The transaction data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights. This category indicates that the data stream contains events that occur at a specific point in time and have a duration. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_stream_category.htm &type=5

This is the first step to set up and configure a Data Cloud instance after it has been provisioned. The customer needs to connect to the Salesforce CRM org that Data Cloud is provisioned in, using the Salesforce CRM connector. This will allow Data Cloud to access the CRM data and map it to the Customer 360 data model. References: [Salesforce CRM Connector], [Data Cloud Setup]

These are the three data categories to select from when setting up the data source object or schema for data ingestion. Engagement data includes information about how customers interact with a brand or product, such as clicks, views, likes, etc. Order data includes information about transactions or purchases made by customers, such as order ID, amount, date, etc. Profile data includes information about customers’ attributes or preferences, such as name, email, gender, etc. References: [Data Categories]