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| Section | Objectives |
|---|---|
| Topic 1: Salesforce Data Cloud Fundamentals | - Core concepts and architecture - Data Cloud value and use cases |
| Topic 2: Segmentation and Activation | - Activation to Salesforce and external systems - Segmentation logic and audience building |
| Topic 3: Data Governance and Privacy | - Security and data access controls - Data privacy and compliance concepts |
| Topic 4: Data Ingestion and Data Modeling | - Data model objects and harmonization - Data sources and ingestion methods |
| Topic 5: Identity Resolution and Unification | - Unified customer profile concepts - Identity resolution rules |
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NEW QUESTION # 53
What is a unique requirement of a Streaming Insight query?
Answer: A
Explanation:
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 54
Which two dependencies need to be removed prior to disconnecting a data source?
Choose 2 answers
Answer: B,D
Explanation:
Dependencies in Data Cloud:
Before disconnecting a data source, all dependencies must be removed to prevent data integrity issues.
Reference: Salesforce Data Source Management Documentation
Identifying Dependencies:
Segment: Segments using data from the source must be deleted or reassigned.
Data Stream: The data stream must be disconnected, as it directly relies on the data source.
Reference: Salesforce Segment and Data Stream Management Guide
Steps to Remove Dependencies:
Remove Segments:
Navigate to the Segmentation interface in Salesforce Data Cloud.
Identify and delete segments relying on the data source.
Disconnect Data Stream:
Go to the Data Stream settings.
Locate and disconnect the data stream associated with the source.
Reference: Salesforce Segment Deletion and Data Stream Disconnection Tutorial Practical Application:
Example: When preparing to disconnect a legacy CRM system, ensure all segments and data streams using its data are properly removed or migrated.
Reference: Salesforce Data Source Disconnection Best Practices
NEW QUESTION # 55
What are the two distinct phases of data model management in Data Cloud?
Answer: B,D
Explanation:
Explanation
These two phases are distinct phases of data model management in Data Cloud. Data ingestion is the process of bringing data from different sources into Data Cloud using connectors or APIs. Data modeling is the process of mapping the ingested data to the Data Cloud canonical model or creating custom data model objects.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=5
NEW QUESTION # 56
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 # 57
A customer has a calculated insight about lifetime value.
What does the consultant need to be aware of if the calculated insight.
needs to be modified?
Answer: D
Explanation:
A calculated insight is a multidimensional metric that is defined and calculated from data using SQL expressions. A calculated insight can include dimensions and measures. Dimensions are the fields that are used to group or filter the data, such as customer ID, product category, or region. Measures are the fields that are used to perform calculations or aggregations, such as revenue, quantity, or average order value. A calculated insight can be modified by editing the SQL expression or changing the data space. However, the consultant needs to be aware of the following limitations and considerations when modifying a calculated insight12:
Existing dimensions cannot be removed. If a dimension is removed from the SQL expression, the calculated insight will fail to run and display an error message. This is because the dimension is used to create the primary key for the calculated insight object, and removing it will cause a conflict with the existing data.
Therefore, the correct answer is B.
New dimensions can be added. If a dimension is added to the SQL expression, the calculated insight will run and create a new field for the dimension in the calculated insight object. However, the consultant should be careful not to add too many dimensions, as this can affect the performance and usability of the calculated insight.
Existing measures can be removed. If a measure is removed from the SQL expression, the calculated insight will run and delete the field for the measure from the calculated insight object. However, the consultant should be aware that removing a measure can affect the existing segments or activations that use the calculated insight.
New measures can be added. If a measure is added to the SQL expression, the calculated insight will run and create a new field for the measure in the calculated insight object. However, the consultant should be careful not to add too many measures, as this can affect the performance and usability of the calculated insight. References: Calculated Insights, Calculated Insights in a Data Space.
NEW QUESTION # 58
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