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| Section | Objectives |
|---|---|
| Segmentation and Calculated Insights | - Explain calculated insights - Create and manage segments |
| Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Activation | - Describe activation use cases - Configure activations to various targets |
| Data Ingestion and Modeling | - Explain data modeling concepts including Data Model Objects (DMOs) - Describe data streams and data sources |
| Data Cloud Setup and Administration | - Configure Data Cloud settings - Manage Data Cloud permissions and security |
| Data Cloud Overview | - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform - Explain the purpose and functionality of Data Cloud |
| Identity Resolution | - Describe matching and reconciliation rules - Explain the purpose and configuration of Identity Resolution |
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質問 # 60
Which two steps are required when configuring a Marketing Cloud activation?
正解：C、D
解説：
These two steps are required when configuring a Marketing Cloud activation. You need to select an activation target that represents a Marketing Cloud business unit and a contact point that represents a Marketing Cloud data extension. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud.htm&type=5
質問 # 61
Which three out-of-the-box connectors are available for Data Cloud?
正解：C、D、E
解説：
Explanation
These three out-of-the-box connectors are available for Data Cloud. They allow you to ingest data from Marketing Cloud, B2C Commerce, or Amazon S3 into Data Cloud and map it to the Data Cloud data model.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_connectors.htm&type=5
質問 # 62
Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
正解：D
解説：
Explanation
This option 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 Data Cloud.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundatio
質問 # 63
A finance company that uses Data Cloud wants to simplify how its users can view all the various channels a customer engages with Which feature should the consultant recommend to meet this requirement?
正解：D
解説：
To simplify how users can view all the various channels a customer engages with, the best solution is to use Data Cloud to connect with analytic tools like Tableau . Here's why and how this works:
Understanding the Requirement
The finance company wants its users to have a consolidated view of all customer engagement channels (e.g., email, social media, website interactions, etc.). This requires:
Aggregating data from multiple sources into a unified platform.
Providing an intuitive and visual way to analyze and interpret the data.
Why Use Data Cloud with Analytic Tools like Tableau?
Data Cloud as a Centralized Data Hub :Salesforce Data Cloud aggregates data from multiple sources (e.g., CRM, Marketing Cloud, external systems) into a unified platform. This ensures that all customer engagement data is available in one place.
Tableau for Advanced Visualization :
Tableau is a powerful analytics and visualization tool that integrates seamlessly with Salesforce Data Cloud.
It allows users to create interactive dashboards and reports that provide a comprehensive view of customer engagement across all channels.
Users can drill down into specific channels, analyze trends, and gain actionable insights without needing advanced technical skills.
Simplified User Experience :By leveraging Tableau's intuitive interface, users can easily explore and understand customer engagement patterns without requiring deep knowledge of the underlying data structure.
Steps to Implement This Solution
Step 1: Ingest Data into Data Cloud
Ensure that all relevant customer engagement data (e.g., website visits, email interactions, social media activity) is ingested into Data Cloud from various sources.
Use Data Streams to bring in data from CRM, Marketing Cloud, and other external systems.
Step 2: Connect Data Cloud to Tableau
Navigate to Setup > Analytics > Tableau CRM in Salesforce.
Configure the integration between Data Cloud and Tableau to enable seamless data flow.
Step 3: Create Dashboards in Tableau
Use Tableau to build dashboards that consolidate customer engagement data from all channels.
Include visualizations such as bar charts, heatmaps, and trend lines to highlight key insights (e.g., most active channels, engagement frequency, etc.).
Step 4: Share Dashboards with Users
Publish the dashboards to Tableau Server or Tableau Online.
Provide access to the relevant users within the finance company so they can view and interact with the dashboards.
Why Not Other Options?
B). Use calculated insights to determine when and how to engage with various customers :While calculated insights are useful for understanding customer behavior, they do not provide a consolidated view of all engagement channels. This option focuses more on decision-making rather than visualization.
C). Create segments based on the ingested data and insights to activate in Marketing Cloud :Segmentation is valuable for targeting specific groups of customers, but it does not address the requirement to view all engagement channels in one place. Segments are more about grouping customers rather than providing a holistic view.
D). Use Data Cloud to ingest data from various available data sources :While ingesting data is a critical first step, it does not solve the problem of simplifying how users view engagement channels. The focus here is on data ingestion, not visualization or analysis.
Conclusion
By connecting Data Cloud with Tableau , the finance company can provide its users with a simplified and visually intuitive way to view all customer engagement channels. This approach lever
質問 # 64
A customer notices that their consolidation rate has recently increased. They contact the consultant to ask why.
What are two likely explanations for the increase?
Choose 2 answers
正解：A、C
解説：
The consolidation rate is a metric that measures the amount by which source profiles are combined to produce unified profiles in Data Cloud, calculated as 1 - (number of unified profiles / number of source profiles). A higher consolidation rate means that more source profiles are matched and merged into fewer unified profiles, while a lower consolidation rate means that fewer source profiles are matched and more unified profiles are created. There are two likely explanations for why the consolidation rate has recently increased for a customer:
New data sources have been added to Data Cloud that largely overlap with the existing profiles. This means that the new data sources contain many profiles that are similar or identical to the profiles from the existing data sources. For example, if a customer adds a new CRM system that has the same customer records as their old CRM system, the new data source will overlap with the existing one. When Data Cloud ingests the new data source, it will use the identity resolution ruleset to match and merge the overlapping profiles into unified profiles, resulting in a higher consolidation rate.
Identity resolution rules have been added to the ruleset to increase the number of matched profiles. This means that the customer has modified their identity resolution ruleset to include more match rules or more match criteria that can identify more profiles as belonging to the same individual. For example, if a customer adds a match rule that matches profiles based on email address and phone number, instead of just email address, the ruleset will be able to match more profiles that have the same email address and phone number, resulting in a higher consolidation rate.
Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Configure Identity Resolution Rulesets
質問 # 65
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