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| Section | Weight | Objectives |
|---|---|---|
| Act on Data | 18% | - Activation concepts and use cases - Process automation and triggering - Troubleshooting activations - Attribute usage and management |
| Data Cloud Setup and Administration | 12% | - Monitoring and maintenance tools - Data spaces and configuration - Data streams and data bundles - Permissions and access control |
| Segmentation and Insights | 18% | - Segment creation and configuration - Calculated vs streaming insights - Insight implementation - Segment membership analysis |
| Identity Resolution | 14% | - Matching and reconciliation rules - Conflict resolution - Unified profile creation - Identity use cases |
| Data Ingestion and Modeling | 20% | - Transformation and mapping - Ingestion from various sources - Data validation and inspection - Data modeling best practices |
| Data Cloud Overview | 18% | - Core concepts and terminology - Business value and use cases - Architecture and ecosystem |
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NEW QUESTION # 67
What does the Source Sequence reconciliation rule do in identity resolution?
Answer: B
Explanation:
The Source Sequence reconciliation rule sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name. This rule allows you to define which data source should be used as the primary source of truth for each attribute, and which data sources should be used as fallbacks in case the primary source is missing or invalid. For example, you can set the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing Cloud as the second priority, and data from Google Analytics as the third priority for the first name attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists, otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the accuracy and consistency of the unified profile attributes across different data sources. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules
NEW QUESTION # 68
What is allowed when editing a Calculated Insight?
Answer: A
Explanation:
Explanation
You can add new measures or dimensions to a Calculated Insight by selecting them from the available attributes list
NEW QUESTION # 69
What is a unique requirement of a Streaming Insight query?
Answer: C
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 thefrequency of the query execution. References:https://help.salesforce.
com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 70
Which three options can be used to build a filter in the Segmentation Canvas?
Answer: A,C,E
Explanation:
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.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 71
A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data Cloud.
Where does a request for data deletion or right to be forgotten get submitted?
Answer: D
NEW QUESTION # 72
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