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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion and Modeling | 20% | - Data modeling best practices - Ingestion from various sources - Transformation and mapping - Data validation and inspection |
| Topic 2: Data Cloud Overview | 18% | - Architecture and ecosystem - Business value and use cases - Core concepts and terminology |
| Topic 3: Segmentation and Insights | 18% | - Segment membership analysis - Segment creation and configuration - Insight implementation - Calculated vs streaming insights |
| Topic 4: Act on Data | 18% | - Activation concepts and use cases - Troubleshooting activations - Attribute usage and management - Process automation and triggering |
| Topic 5: Data Cloud Setup and Administration | 12% | - Data spaces and configuration - Data streams and data bundles - Permissions and access control - Monitoring and maintenance tools |
| Topic 6: Identity Resolution | 14% | - Matching and reconciliation rules - Unified profile creation - Identity use cases - Conflict resolution |
>> Salesforce-Data-Cloud資格問題集 <<
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質問 # 79
How do the Data streams that use the Marketing Cloud Connector refresh data?
正解：C
解説：
The data streams that use the Marketing Cloud Connector refresh data using Marketing Cloud's Automation Studio. The Marketing Cloud Connector is a feature that allows you to stream data from Marketing Cloud to Data Cloud in near real time. The connector uses Automation Studio to schedule and run data extracts from Marketing Cloud data extensions and send them to Data Cloud via SFTP. You can configure the frequency and time of the data extracts in Automation Studio. Reference: Marketing Cloud Connector
質問 # 80
A customer has a Master Customer table from their CRM to ingest into Data Cloud. The table contains a name and primary email address, along with other personally Identifiable information (Pll).
How should the fields be mapped to support identity resolution?
正解：C
解説：
To support identity resolution in Data Cloud, the fields from the Master Customer table should be mapped to the standard data model objects that are designed for this purpose. The Individual object is used to store the name and other personally identifiable information (PII) of a customer, while the Contact Phone Email object is used to store the primary email address and other contact information of a customer. These objects are linked by a relationship field that indicates the contact information belongs to the individual. By mapping the fields to these objects, Data Cloud can use the identity resolution rules to match and reconcile the profiles from different sources based on the name and email address fields. The other options are not recommended because they either create a new custom object that is not part of the standard data model, or map all fields to the Customer object that is not intended for identity resolution, or map all fields to the Individual object that does not have a standard email address field. References: Data Modeling Requirements for Identity Resolution, Create Unified Individual Profiles
質問 # 81
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?
正解：A
解説：
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-timestreams using window functions and aggregation functions.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
質問 # 82
How does an administrator increase the consolidation rate for Identity Resolution?
正解：D
解説：
Explanation
Reducing the number of matching rules can increase the consolidation rate for Identity Resolution, because it reduces the chances of finding multiple matches for the same individual. Matching rules tell Data Cloud which profiles to unify during the identity resolution process. If there are too many matching rules, Data Cloud might find more than one match for a given profile, resulting in a lower consolidation rate. References: Identity Resolution Match Rules
質問 # 83
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?
正解：C
解説：
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_value_suggestion.htm&type=5
質問 # 84
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