Northern Trail Outfitters wants to be able to calculate each customer's lifetime value (LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels. How should this use case be addressed in Data Cloud?
A.
B.
C.
D. Metrics on metrics
This feature can help Northern Trail Outfitters calculate each customer’s lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Streaming data transformations allow you to transform and enrich streaming data from different sources using formulas and operators.
Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?
A.
B.
C.
D. Engagement
The appropriate data stream category to be assigned for time-based operations in segmentation and calculated insights would be Engagement.
Engagement data typically involves time-based interactions, such as customer behavior, activity, or interaction data, which are critical for segmentation and insights based on time.
Transaction and Sales Order data categories are more focused on financial or order-related data, while Individual refers to static, personal customer data.
Therefore, Engagement is the most suitable for time-based operations.
Which three options can be used to build a filter in the Segmentation Canvas?
A. Data Lake Objects
B. Streaming Insights
C. Calculated Insights
D. Related Attributes
E. Direct Attributes
A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the query to run on the streaming data and the frequency of the query execution.
References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm &type=5
A consultant needs to package Data Cloud components from one organization to another. Which two Data Cloud components should the consultant include in a data kit to achieve this goal? (Choose 2 answers)
A. Data model objects
B. Segments
C. Calculated insights
D. Identity resolution rulesets
An organization wants to enable users with the ability to identify and select text attributes from a picklist of options. Which Data Cloud feature can help with this use case?
A. Transformation Formulas
B. Data Harmonization
C. Value Suggestion
D. Global Picklists
Explanation:
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
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
What is the correct formula to display the value of the raw data column of "RetailPrice' plus an additional 5 percent?
A. sourceField['RetailPrice1*l .05
B. SELECT(['RetailPrice']*1.05)
C. sourceField['retailprice']*1.05
D. SELECT(['retailprice']*1.05)
Explanation:
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]
Which two dependencies can prevent a Data Stream from being deleted?
A. A data stream attribute is mapped to a Data Model object
B. A data stream attribute is used in Calculated Insight
C. A data stream attribute is used in Segmentation
D. A data stream attribute is used in Activation
Explanation:,
A data stream cannot be deleted if any of its attributes are mapped to a Data Model object or used in a Calculated Insight3. These dependencies need to be removed before deleting the data stream.
| Page 1 out of 9 Pages |