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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Cloud Monitoring and Troubleshooting | 22% | - Monitor data ingestion and sync status - Debug common configuration errors - Troubleshoot data quality issues - Use Data Cloud analytics and reports - Analyze identity resolution results - Manage data retention and cleanup |
| Topic 2: Data Ingestion | 15% | - Configure data sync and refresh schedules - Configure streaming data ingestion - Set up and manage data connectors - Configure batch data ingestion - Troubleshoot ingestion issues |
| Topic 3: Data Model Setup and Configuration | 15% | - Describe Harmonized Data Model concepts - Set up and configure Data Lake objects - Map source data to harmonized data model - Understand data types and field mapping - Configure custom objects, fields, and relationships |
| Topic 4: Data Cloud Overview and Licensing | 7% | - Describe the business value of Data Cloud - Explain licensing model and capacity - Describe Data Cloud setup and configuration |
| Topic 5: Identity Resolution and Data Unification | 17% | - Manage data overlap and deduplication - Understand unified records creation - Configure contact and account matching - Configure match rules and strategies - Configure identity resolution rules |
| Topic 6: Data Sharing and Security | 8% | - Manage user access and permissions - Configure data sharing settings - Understand data governance requirements - Implement row-level security |
| Topic 7: Calculated Insights | 8% | - Use formulas and functions in calculations - Define metrics and measurements - Publish insights to Data Cloud - Create and configure calculated insights |
| Topic 8: Data Actions | 8% | - Configure data actions for activation - Set up segmentation and target audiences - Configure data sync to external systems - Create and manage data bundles |
>> Data-Cloud-Consultant Vorbereitung <<
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109. Frage
A bank collects customer data for its loan applicants and high net worth customers. A customer can be both a load applicant and a high net worth customer, resulting in duplicate data.
How should a consultant ingest and map this data in Data Cloud?
Antwort: A
110. Frage
A data architect has deployed an inbound change set containing a data kit into a new Salesforce Production org. Although the deployment status shows " Succeeded " , the architect notices that the specific data stream configurations and calculated insights included in the kit are not yet active or visible in the Data 360 functional tabs. What is the next required action the architect must perform to fully implement the configurations within the data kit?
Antwort: B
Begründung:
The lifecycle point is that Data 360 configuration is metadata, but it still has product-specific packaging and activation steps. Install the data kit from the Data 360 Setup menu to map and activate the components. is the right fit because Data 360 components are not fully usable just because generic deployment succeeded. The consultant must complete the Data 360-specific lifecycle step so streams, mappings, insights, and rules are correctly registered in the target environment. 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.
111. Frage
A consultant wants to confirm the Identity resolution they Just set up. Which two features can the consultant use to validate the data on a unified profile?
Choose 2 answers
Antwort: B,C
112. Frage
A customer requests that their personal data be deleted.
Which action should the consultant take to accommodate this request in Data Cloud?
Antwort: A
Begründung:
Explanation
The Data Rights Subject Request tool is a feature that allows Data Cloud users to manage customer requests for data access, deletion, or portability. The tool provides a user interface and an API to create, track, and fulfill data rights requests. The tool also generates a report that contains the customer's personal data and the actions taken to comply with the request. The consultant should use this tool to accommodate the customer's request for data deletion in Data Cloud. References: Data Rights Subject Request Tool, Create a Data Rights Subject Request
113. Frage
A Data 360 Consultant is planning to use Data Explorer to examine Data 360 data. Which data is the consultant able to examine in Data Explorer?
Antwort: B
Begründung:
The core Data 360 principle is harmonization: bring data from multiple systems into a governed model that business teams can use consistently. Data lake objects, data model objects, calculated insights is the strongest answer because Data 360 is designed to unify, harmonize, and activate customer and business data across systems. The platform is not merely a dashboard, archive, or point solution. 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.
114. Frage
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