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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: Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Topic 4: Segmentation and Calculated Insights | - Explain calculated insights - Create and manage segments |
| Topic 5: Activation | - Configure activations to various targets - Describe activation use cases |
| 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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NEW QUESTION # 51
Which configuration can support separate Amazon S3 buckets for data ingestion and activation?
Answer: A
NEW QUESTION # 52
Which match criteria is only available as custom in order to perform an exact match in Identity Resolution?
Answer: C
Explanation:
Explanation
Party Identification Id is the only match criteria that is only available as custom in order to perform an exact match in Identity Resolution. Party Identification Id is a unique identifier for each Party Identification record in the data model. It is not one of the standard match criteria that Data Cloud provides out of the box, so it has to be created as a custom match criteria. Custom match criteria allow you to use any field from the data model as a match rule. References: Create Custom Match Criteria
NEW QUESTION # 53
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:
Thisoption allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on 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 DataCloud. References:https://help.salesforce.com/s/articleView?
id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm&type=5
NEW QUESTION # 54
A Data Cloud Consultant Is in the process of setting up data streams for a new service-based data source.
When ingesting Case data, which field is recommended to be associated with the Event Time field?
Answer: D
Explanation:
The Event Time field is a special field type that captures the timestamp of an event in a data stream. It is used to track the chronological order of events and to enable time-based segmentation and activation. When ingesting Case data, the recommended field to be associated with the Event Time field is the Last Modified Date field. This field reflects the most recent update to the case and can be used to measure the case duration, resolution time, and customer satisfaction. The other fields, such as Resolution Date, Escalation Date, or Creation Date, are not as suitable for the Event Time field, as they may not capture the latest status of the case or may not be applicable for all cases. References: Data Stream Field Types, Salesforce Data Cloud Exam Questions
NEW QUESTION # 55
A customer is concerned that the consolidation rate displayed in the identity resolution is quite low compared to their initial estimations.
Which configuration change should a consultant consider in order to increase the consolidation rate?
Answer: C
Explanation:
The consolidation rate is the amount by which source profiles are combined to produce unified profiles, calculated as 1 - (number of unified individuals / number of source individuals). For example, if you ingest
100 source records and create 80 unified profiles, your consolidation rate is 20%. To increase the consolidation rate, you need to increase the number of matches between source profiles, which can be done by adding more match rules. Match rules define the criteria for matching source profiles based on their attributes.
By increasing the number of match rules, you can increase the chances of finding matches between source profiles and thus increase the consolidation rate. On the other hand, changing reconciliation rules, including additional attributes, or reducing the number of match rules can decrease the consolidation rate, as they can either reduce the number of matches or increase the number of unified profiles. References: Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Identity Resolution Ruleset Processing Results, Configure Identity Resolution Rulesets
NEW QUESTION # 56
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