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| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion and Modeling | - Explain data modeling concepts including Data Model Objects (DMOs) - Describe data streams and data sources |
| Topic 2: Data Cloud Overview | - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform - Explain the purpose and functionality of Data Cloud |
| Topic 3: Activation | - Configure activations to various targets - Describe activation use cases |
| Topic 4: Segmentation and Calculated Insights | - Explain calculated insights - Create and manage segments |
| Topic 5: Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Topic 6: Identity Resolution | - Describe matching and reconciliation rules - Explain the purpose and configuration of Identity Resolution |
| Topic 7: Data Cloud Setup and Administration | - Manage Data Cloud permissions and security - Configure Data Cloud settings |
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質問 # 84
Which of the following functions returns the first value from a list that isn't empty?
正解：A
解説：
Explanation
COALESCE is the function that returns the first value from a list that isn't empty. It takes a list of values as arguments and returns the first non-empty value. For example, COALESCE(NULL, '', 'Hello', 'World') returns 'Hello'. If all values are empty, it returns NULL. References: COALESCE
質問 # 85
What is a DMO called if it inherits the name, shape, and semantics of the reference object?
正解：B
解説：
A Data Model Object (DMO) that inherits the name, shape, and semantics of the reference object is called a Standard DMO. A reference object is a predefined object in the Data Cloud data model that represents a common entity or concept, such as Individual, Order, or Product. A Standard DMO is a copy of a reference object that you can use to ingest data from a specific source without modifying the original reference object. A Standard DMO has the same fields and relationships as the reference object, but you can add custom fields or relationships to it if needed. References: Data Model Objects
質問 # 86
The leadership team at Cumulus Financial has declared that customers who have deposited more than
$250,000 in the last 5 years and who are not using advisory services, will be the central focus for all new campaigns in the next year. Which two features support this need?
正解：A、B
解説：
These two features support the need to calculate each customer's lifetime value (LTV) and create breakdowns of the revenuesourced by different channels. Calculated Insight allows you to create complex calculations based on stored data, such as LTV. Segment allows you to create audiences based on different criteria, such as revenue source. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights.htm&type=5https://help.salesforce.co
質問 # 87
Which three Data Model objects do Reconciliation Rules operate across?
正解：B、D、E
解説：
These are the three Data Model objectsthat Reconciliation Rules operate across. Reconciliation rules tell Data Cloud how to prioritize values for unified individual profiles when there is conflicting information in the data model. For example, if two profiles have different email addresses, reconciliation rules can determine which one to use for the unified profile. Reconciliation rules can operate on the Individual object, which represents a person or entity, the Party Identification object, which represents an identifier such as a social media handle or a loyalty card number, and the Contact Point Email object, which represents an email address.
References: Identity Resolution Reconciliation Rules
質問 # 88
Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud. In what order should each process be run to ensure that freshly imported data is ready and available to use for any segment?
正解：D
解説：
The recommended order of processes for updating data in Data Cloud is as follows6:
Refresh Data Stream: This process updates the data from the source, such as Amazon S3, into Data Cloud.
Identity Resolution: This process runs the rulesets that link together multiple records of an individual into a unified profile.
Calculated Insight: This process calculates additional attributes based on existing data, such as lifetime value or churn risk.
質問 # 89
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