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| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion | 15% | - Troubleshoot ingestion issues - Configure data sync and refresh schedules - Set up and manage data connectors - Configure streaming data ingestion - Configure batch data ingestion |
| Calculated Insights | 8% | - Define metrics and measurements - Publish insights to Data Cloud - Use formulas and functions in calculations - Create and configure calculated insights |
| Data Actions | 8% | - Configure data actions for activation - Create and manage data bundles - Set up segmentation and target audiences - Configure data sync to external systems |
| Data Cloud Monitoring and Troubleshooting | 22% | - Monitor data ingestion and sync status - Use Data Cloud analytics and reports - Manage data retention and cleanup - Troubleshoot data quality issues - Debug common configuration errors - Analyze identity resolution results |
| Identity Resolution and Data Unification | 17% | - Understand unified records creation - Manage data overlap and deduplication - Configure contact and account matching - Configure identity resolution rules - Configure match rules and strategies |
| Data Sharing and Security | 8% | - Configure data sharing settings - Implement row-level security - Manage user access and permissions - Understand data governance requirements |
| Data Cloud Overview and Licensing | 7% | - Describe the business value of Data Cloud - Describe Data Cloud setup and configuration - Explain licensing model and capacity |
| Data Model Setup and Configuration | 15% | - Configure custom objects, fields, and relationships - Set up and configure Data Lake objects - Map source data to harmonized data model - Understand data types and field mapping - Describe Harmonized Data Model concepts |
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NEW QUESTION # 90
Which data model subject area should be used for any Organization, Individual, or Member in the Customer
360 data model?
Answer: A
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 # 91
A client wants to bring in loyalty data from a custom object in Salesforce CRM that contains a point balance for accrued hotel points and airline points within the same record. The client wants to split these point systems into two separate records for better tracking and processing.
What should a consultant recommend in this scenario?
Answer: A
Explanation:
Explanation
Batch transforms are a feature that allows creating new data lake objects based on existing data lake objects and applying transformations on them. This can be useful for splitting, merging, or reshaping data to fit the data model or business requirements. In this case, the consultant can use batch transforms to create a second data lake object that contains only the airline points from the original loyalty data object. The original object can be modified to contain only the hotel points. This way, the client can have two separate records for each point system and track and process them accordingly. References: Batch Transforms, Create a Batch Transform
NEW QUESTION # 92
Northern Trail Outfitters (NTO) wants to send a promotional campaign for customers that have purchased within the past 6 months. The consultant created a segment to meet this requirement.
Now, NTO brings an additional requirement to suppress customers who have made purchases within the last week.
What should the consultant use to remove the recent customers?
Answer: B
Explanation:
The consultant should use B. Segmentation exclude rules to remove the recent customers. Segmentation exclude rules are filters that can be applied to a segment to exclude records that meet certain criteria. The consultant can use segmentation exclude rules to exclude customers who have made purchases within the last week from the segment that contains customers who have purchased within the past 6 months. This way, the segment will only include customers who are eligible for the promotional campaign.
The other options are not correct. Option A is incorrect because batch transforms are data processing tasks that can be applied to data streams or data lake objects to modify or enrich the data. Batch transforms are not used for segmentation or activation. Option C is incorrect because related attributes are attributes that are derived from the relationships between data model objects. Related attributes are not used for excluding records from a segment. Option D is incorrect because streaming insights are derived attributes that are calculated at the time of data ingestion. Streaming insights are not used for excluding records from a segment. References: Salesforce Data Cloud Consultant Exam Guide, Segmentation, Segmentation Exclude Rules
NEW QUESTION # 93
What is Data Cloud's primary value to customers?
Answer: C
Explanation:
Data Cloud is a platform that enables you to activate all your customer data across Salesforce applications and other systems. Data Cloud allows you to create a unified profile of each customer by ingesting, transforming, and linking data from various sources, such as CRM, marketing, commerce, service, and external data providers. Data Cloud also provides insights and analytics on customer behavior, preferences, and needs, as well as tools to segment, target, and personalize customer interactions. Data Cloud's primary value to customers is to provide a unified view of a customer and their related data, which can help you deliver better customer experiences, increase loyalty, and drive growth. Reference: Salesforce Data Cloud, When Data Creates Competitive Advantage
NEW QUESTION # 94
Northern Trail Outfitters wants to compute recency, frequency, monetary (RFM) scores on its unified individuals in order to use it in Marketing Cloud Engagement. What is the best way to achieve this goal?
Answer: C
Explanation:
The segmentation and activation design starts with grain: who or what the audience represents, and which attributes must travel with it. Include the Calculated Insight attribute in activation. works because Data 360 segmentation and activation must respect audience grain, relationship paths, and activation payload rules. A segment can qualify the audience, but activation determines which related attributes or contact points are actually sent downstream. 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 # 95
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