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| Section | Weight | Objectives |
|---|---|---|
| Data Sharing and Security | 8% | - Understand data governance requirements - Implement row-level security - Manage user access and permissions - Configure data sharing settings |
| Calculated Insights | 8% | - Define metrics and measurements - Create and configure calculated insights - Use formulas and functions in calculations - Publish insights to Data Cloud |
| Data Model Setup and Configuration | 15% | - Set up and configure Data Lake objects - Map source data to harmonized data model - Configure custom objects, fields, and relationships - Understand data types and field mapping - Describe Harmonized Data Model concepts |
| Data Actions | 8% | - Set up segmentation and target audiences - Configure data actions for activation - Create and manage data bundles - Configure data sync to external systems |
| Data Cloud Monitoring and Troubleshooting | 22% | - Analyze identity resolution results - Use Data Cloud analytics and reports - Troubleshoot data quality issues - Debug common configuration errors - Monitor data ingestion and sync status - Manage data retention and cleanup |
| Identity Resolution and Data Unification | 17% | - Configure identity resolution rules - Configure match rules and strategies - Understand unified records creation - Configure contact and account matching - Manage data overlap and deduplication |
| Data Cloud Overview and Licensing | 7% | - Describe Data Cloud setup and configuration - Describe the business value of Data Cloud - Explain licensing model and capacity |
| Data Ingestion | 15% | - Configure streaming data ingestion - Set up and manage data connectors - Configure batch data ingestion - Configure data sync and refresh schedules - Troubleshoot ingestion issues |
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NEW QUESTION # 107
Where is value suggestion for attributes in segmentation enabled when creating the DMO?
Answer: B
Explanation:
Value suggestion for attributes in segmentation is a feature that allows you to see and select the possible values for a text field when creating segment filters. You can enable or disable this feature for each data model object (DMO) field in the DMO record home. Value suggestion can be enabled for up to 500 attributes for your entire org. It can take up to 24 hours for suggested values to appear. To use value suggestion when creating segment filters, you need to drag the attribute onto the canvas and start typing in the Value field for an attribute. You can also select multiple values for some operators. Value suggestion is not available for attributes with more than 255 characters or for relationships that are one-to-many (1:N). References: Use Value Suggestions in Segmentation, Considerations for Selecting Related Attributes
NEW QUESTION # 108
What is the primary purpose of Data Cloud?
Answer: B
Explanation:
Primary Purpose of Data Cloud:
* Salesforce Data Cloud's main function is to integrate and unify customer data from various sources, creating a single, comprehensive view of each customer.
NEW QUESTION # 109
Which data model subject area should be used for any Organization, Individual, or Member in the Customer
360 data model?
Answer: C
Explanation:
Explanation
The data model subject area that should be used for any Organization, Individual, or Member in the Customer
360 data model is the Party subject area. The Party subject area defines the entities that are involved in any business transaction or relationship, such as customers, prospects, partners, suppliers, etc. The Party subject area contains the following data model objects (DMOs):
* Organization: A DMO that represents a legal entity or a business unit, such as a company, a department, a branch, etc.
* Individual: A DMO that represents a person, such as a customer, a contact, a user, etc.
* Member: A DMO that represents the relationship between an individual and an organization, such as an employee, a customer, a partner, etc.
The other options are not data model subject areas that should be used for any Organization, Individual, or Member in the Customer 360 data model. The Engagement subject area defines the actions that people take, such as clicks, views, purchases, etc. The Membership subject area defines the associations that people have with groups, such as loyalty programs, clubs, communities, etc. The Global Account subject area defines the hierarchical relationships between organizations, such as parent-child, subsidiary, etc.
References:
* Data Model Subject Areas
* Party Subject Area
* Customer 360 Data Model
NEW QUESTION # 110
A Data 360 Consultant is explaining the behavior of Data 360 sandboxes to project stakeholders. The stakeholders want to know what happens to the data in a Data 360 sandbox during a standard version.
Answer: A
Explanation:
The lifecycle point is that Data 360 configuration is metadata, but it still has product-specific packaging and activation steps. Only the metadata, such as data model object (DMO) definitions and mappings 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. 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.
NEW QUESTION # 111
Northern Trail Outfitters (NTO) wants to connect their B2C Commerce data with Data Cloud and bring two years of transactional history into Data Cloud.
What should NTO use to achieve this?
Answer: A
Explanation:
Explanation
The B2C Commerce Starter Bundles are predefined data streams that ingest order and product data from B2C Commerce into Data Cloud. However, the starter bundles only bring in the last 90 days of data by default. To bring in two years of transactional history, NTO needs to use a custom extract from B2C Commerce that includes the historical data and configure the data stream to use the custom extract as the source. The other options are not sufficient to achieve this because:
* A. B2C Commerce Starter Bundles only ingest the last 90 days of data by default.
* B. Direct Sales Order entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion.
* C. Direct Sales Product entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion. References: Create a B2C Commerce Data Bundle - Salesforce, B2C Commerce Connector - Salesforce, Salesforce B2C Commerce Pricing Plans & Costs
NEW QUESTION # 112
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