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| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion and Modeling | 20% | - Ingestion from various sources - Data modeling best practices - Data validation and inspection - Transformation and mapping |
| Data Cloud Overview | 18% | - Business value and use cases - Architecture and ecosystem - Core concepts and terminology |
| Identity Resolution | 14% | - Matching and reconciliation rules - Identity use cases - Unified profile creation - Conflict resolution |
| Segmentation and Insights | 18% | - Insight implementation - Calculated vs streaming insights - Segment membership analysis - Segment creation and configuration |
| Data Cloud Setup and Administration | 12% | - Data spaces and configuration - Data streams and data bundles - Monitoring and maintenance tools - Permissions and access control |
| Act on Data | 18% | - Activation concepts and use cases - Process automation and triggering - Troubleshooting activations - Attribute usage and management |
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質問 # 52
A customer has a custom 'Customer_Email_c' object related to the standard 'Contact' object in Salesforce CRM. To which data entity is this mapped?
正解：A
解説：
The custom 'Customer_Email_c' object related to the standard 'Contact' object in Salesforce CRM should be mapped to the Contact Point Email entity in the Customer 360 data model. This entity represents an email address that is associated with an individual or an account contact. Reference: [Contact Point Email Entity]
質問 # 53
How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?
正解：D
解説：
Identity resolution is the process of creating unified profiles of individuals by matching and merging data from different sources. When there is conflicting information in the data model, such as different names, addresses, or phone numbers for the same person, identity resolution leverages reconciliation rules to select the most accurate and complete attributes for the unified profile. Reconciliation rules are configurable rules that define how to resolve conflicts based on criteria such as recency, frequency, source priority, or completeness. For example, a reconciliation rule can specify that the most recent name or the most frequent phone number should be selected for the unified profile. Reconciliation rules can be applied at the attribute level or the contact point level. References: Identity Resolution, Reconciliation Rules, Salesforce Data Cloud Exam Questions
質問 # 54
The Data Cloud admin at Northern Trail Outfitters (NTO) wants to be proactively and immediately informed via Slack and email if any of the data streams fail for any reason. If this happens, a case should also be triggered as part of NTO's existing support and triage process, and reflected in its global monitoring dashboard.
What should a consultant recommend for these requirements?
正解：D
解説：
To meet the requirement of being proactively and immediately informed via Slack and email if any data streams fail, and to trigger a case as part of the support process, the best solution is to use Salesforce Flows .
Here's why and how this works:
Understanding the Requirements :
The admin wants to be notified immediately via Slack and email when a data stream fails.
A case should also be created automatically to reflect the issue in the global monitoring dashboard.
This requires an automated process that integrates with both internal systems (e.g., Slack, email) and external workflows (e.g., case creation).
Why Salesforce Flows?
Salesforce Flows are highly flexible and can automate complex business processes. They can monitor system events (e.g., data stream failures) and trigger actions like sending notifications or creating records.
Flows can integrate seamlessly with Slack and email using platform events and action elements.
They can also create cases programmatically and update dashboards for real-time monitoring.
Steps to Implement This Solution :
Step 1: Navigate to Setup > Process Automation > Flows and create a new flow.
Step 2: Configure a Platform Event Trigger or Record-Triggered Flow to listen for data stream failure events.
Step 3: Add an action element to send a notification to Slack using the Slack Integration feature.
Step 4: Add another action element to send an email alert using the Send Email action.
Step 5: Add a step to create a Case record with details about the failure. Use predefined fields to populate relevant information (e.g., error message, timestamp).
Step 6: Update the global monitoring dashboard to reflect the newly created case. This can be done by linking the case to a report or dashboard component.
Why Not Other Options?
A). Data actions: While data actions can perform specific tasks on data, they are not designed for cross-system automation like sending Slack notifications or creating cases.
B). Data Cloud Query Editor: The Query Editor is used for querying and analyzing data but does not provide automation capabilities for notifications or case creation.
D). Salesforce reports and dashboards: Reports and dashboards are for visualizing data, not for triggering actions or automating workflows.
By using Salesforce Flows, NTO can achieve a fully automated and integrated solution that meets all the stated requirements.
質問 # 55
Which two applications automatically create activation targets at the time the application is connected to Data Cloud?
正解：A、D
解説：
These two applications automatically create activation targets when they are connected to Data Cloud. You can use these targets to activate segments or calculated insights to these applications. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_activation.htm&type=5
質問 # 56
Cumulus Financial wants to be able to track the daily transaction volume for of each of its customers in real time and send out a notification as soon it detects volume outside a customer's normal range. How should an administrator accommodate this request?
正解：A
解説：
To track the daily transaction volume for each customer in real time and send out a notification as soon as it detects volume outside a customer's normal range, the administrator should use a Streaming Insight paired with a Data Action. A Streaming Insight is a metric that is calculated on streaming data as it is ingested into Data Cloud, allowing near-real-time analysis of customer behavior. A Data Action is an action that is triggered by a Streaming Insight, such as sending an email, updating a record, or calling an API. By using these features, the administrator can monitor and respond to customer transactions in real time.
質問 # 57
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