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| Section | Weight | Objectives |
|---|---|---|
| Calculated Insights | 8% | - Use formulas and functions in calculations - Define metrics and measurements - Publish insights to Data Cloud - Create and configure calculated insights |
| Data Cloud Overview and Licensing | 7% | - Describe the business value of Data Cloud - Explain licensing model and capacity - Describe Data Cloud setup and configuration |
| Data Model Setup and Configuration | 15% | - Map source data to harmonized data model - Understand data types and field mapping - Set up and configure Data Lake objects - Configure custom objects, fields, and relationships - Describe Harmonized Data Model concepts |
| Identity Resolution and Data Unification | 17% | - Configure match rules and strategies - Configure contact and account matching - Understand unified records creation - Manage data overlap and deduplication - Configure identity resolution rules |
| Data Ingestion | 15% | - Set up and manage data connectors - Configure data sync and refresh schedules - Troubleshoot ingestion issues - Configure batch data ingestion - Configure streaming data ingestion |
| Data Sharing and Security | 8% | - Understand data governance requirements - Configure data sharing settings - Implement row-level security - Manage user access and permissions |
| Data Cloud Monitoring and Troubleshooting | 22% | - Analyze identity resolution results - Use Data Cloud analytics and reports - Troubleshoot data quality issues - Manage data retention and cleanup - Debug common configuration errors - Monitor data ingestion and sync status |
| Data Actions | 8% | - Configure data sync to external systems - Configure data actions for activation - Create and manage data bundles - Set up segmentation and target audiences |
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問題 #28
How does Data Cloud ensure data privacy and security?
答案：C
解題說明：
* Data Privacy and Security in Data Cloud:
Ensuring data privacy and security is paramount in Salesforce Data Cloud.
Reference:
* Key Security Measures:
Encrypting Data at Rest and in Transit:
Data encryption ensures that information is protected from unauthorized access both when stored and when transmitted.
Enforcing and Controlling Consent Preferences:
Consent management ensures that data usage complies with customer permissions and regulatory requirements.
* Steps to Implement Security Measures:
Data Encryption:
Enable encryption for data at rest using Salesforce Shield.
Ensure TLS/SSL encryption is used for data in transit.
Consent Management:
Set up and enforce consent preferences within Data Cloud.
Regularly audit and update consent records.
* Practical Application:
Example: A financial institution uses encryption to secure customer financial data and manages consent to comply with GDPR.
問題 #29
A consultant needs to update a field in CRM as soon as a record gets updated in the DMO.
Which feature should the consultant use?
答案：B
解題說明：
When a record in the Data Model Object (DMO) is updated, Data Actions can be used to immediately trigger updates in an external system like Salesforce CRM.
Data Actions allow for real-time or near-real-time updates to external systems.
When a record in the DMO is updated, a Data Action can push updates to CRM fields.
This ensures that CRM always reflects the latest Data Cloud updates without manual intervention.
Why Not A?
Data Share Targets are used for sharing data externally (e.g., Snowflake) but do not update CRM fields directly.
Why Not C?
Rapid Segments are used for fast audience segmentation, not for updating CRM fields.
Why Not D?
Streaming Data Transforms are used for real-time data processing, but they do not update CRM fields directly.
Salesforce Data Cloud Reference:
Salesforce Help Documentation - Data Actions Overview
Trailhead Module: Automating Data Updates with Data Actions
Salesforce Knowledge Base - Best Practices for Keeping CRM and Data Cloud in Sync
問題 #30
Northern Trail Outfitters (NTO) wants to create a segment where a unique record is created in the published audience for every transaction a customer completes. If a customer makes three separate purchases, the resulting segment should contain three distinct entries for that customer to allow for transaction- specific messaging. All transactions are mapped to the Sales Order data model object (DMO), and NTO is using Identity Resolution to unify customers on the Unified Individual DMO. Which configuration should a Data
360 Consultant use to meet this requirement?
答案：C
解題說明：
The identity logic is about linking source profiles safely, then choosing the best surviving values for the unified profile. Segment on the Sales Order DMO is appropriate because identity resolution needs reliable match inputs, qualified identifiers, and controlled reconciliation. It is not just deduplication; it is a rules-driven process that connects source records into a trusted unified profile. The distractors fall short because they either move the problem into the wrong system, add needless duplication, ignore Data 360 object relationships, or rely on a feature built for a different lifecycle stage. In a real implementation, those choices usually create brittle pipelines, stale data, security exposure, or segments that look correct on paper but fail when activated. Thinking like an architect, the selected option places the logic where Data 360 can govern it and reuse it reliably. This is the nuance exam questions often test: the platform capability must match both the technical layer and the business timing requirement, not just sound related to data.
問題 #31
Which statement is true related to batch ingestions from Salesforce CRM?
答案：C
解題說明：
The design point is to preserve source fidelity while shaping data only where Data 360 processing needs it.
Here, When a column is added or removed, the CRM Connector performs a full refresh. fits because it changes the shape, keying, or refresh behavior at the Data 360 layer instead of forcing the source system to carry an analytics-specific design. In production, this keeps the upstream application simpler and gives the data team a repeatable way to prepare records for mapping, identity resolution, insights, or segmentation. The distractors fall short because they either move the problem into the wrong system, add needless duplication, ignore Data 360 object relationships, or rely on a feature built for a different lifecycle stage. In a real implementation, those choices usually create brittle pipelines, stale data, security exposure, or segments that look correct on paper but fail when activated. Thinking like an architect, the selected option places the logic where Data 360 can govern it and reuse it reliably.
問題 #32
A Data 360 Consultant needs to build a model on Einstein Studio to predict the time- to- close of an opportunity brought into Data 360 from CRM. Based on the supported model types, which statement is true?
答案：C
解題說明：
The AI pattern works when the model is grounded in appropriate Data 360 data and its outputs can be operationalized safely. The consultant should use a Regression model because the target outcome is a numeric measure. fits because predictions or generative experiences are only useful when the data is representative, governed, and connected to Salesforce execution patterns such as scoring jobs, Flow, or grounded retrieval.
The distractors fall short because they either move the problem into the wrong system, add needless duplication, ignore Data 360 object relationships, or rely on a feature built for a different lifecycle stage. In a real implementation, those choices usually create brittle pipelines, stale data, security exposure, or segments that look correct on paper but fail when activated. Thinking like an architect, the selected option places the logic where Data 360 can govern it and reuse it reliably. This is the nuance exam questions often test: the platform capability must match both the technical layer and the business timing requirement, not just sound related to data.
問題 #33
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