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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Cloud Setup and Administration | 12% | - Permissions and access control - Data spaces and configuration - Data streams and data bundles - Monitoring and maintenance tools |
| Topic 2: Act on Data | 18% | - Activation concepts and use cases - Troubleshooting activations - Process automation and triggering - Attribute usage and management |
| Topic 3: Data Ingestion and Modeling | 20% | - Transformation and mapping - Ingestion from various sources - Data validation and inspection - Data modeling best practices |
| Topic 4: Identity Resolution | 14% | - Unified profile creation - Identity use cases - Conflict resolution - Matching and reconciliation rules |
| Topic 5: Data Cloud Overview | 18% | - Core concepts and terminology - Architecture and ecosystem - Business value and use cases |
| Topic 6: Segmentation and Insights | 18% | - Segment membership analysis - Insight implementation - Segment creation and configuration - Calculated vs streaming insights |
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NEW QUESTION # 149
Which three features can be used to validate the data in the unified profile object?
Answer: A,B,C
Explanation:
Explanation
These three features can be used to validate the data in the unified profile object. Data Explorer allows you to view the ingested data from different sources and how it is mapped to the unified profile object. Query API allows you to query the unified profile object using SOQL or SQL queries. Profile Explorer allows you to view the unified profile records and their attributes. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_explorer.htm&type=5
https://help.salesforce.com/s/articleView?id=sf.c360_a_query_api.htm&type=5https://help.salesforce.com/s/artic
NEW QUESTION # 150
A consultant is ingesting a list of employees from their human resources database that they want to segment on.
Which data stream category should the consultant choose when ingesting this data?
Answer: C
Explanation:
Categories of Data Streams:
Profile Data: Customer profiles and demographic information.
Contact Data: Contact points like email and phone numbers.
Other Data: Miscellaneous data that doesn't fit into the other categories.
Engagement Data: Interactions and behavioral data.
Reference: Salesforce Data Stream Categories
Ingesting Employee Data:
Employee data typically doesn't fit into profile, contact, or engagement categories meant for customer data.
"Other Data" is appropriate for non-customer-specific data like employee information.
Reference: Salesforce Data Ingestion Guide
Steps to Ingest Employee Data:
Navigate to the data ingestion settings in Salesforce Data Cloud.
Select "Create New Data Stream" and choose the "Other Data" category.
Map the fields from the HR database to the corresponding fields in Data Cloud.
Reference: Salesforce Data Ingestion Tutorial
Practical Application:
Example: A company ingests employee data to segment internal communications or analyze workforce metrics.
Choosing the "Other Data" category ensures that this non-customer data is correctly managed and utilized.
Reference: Salesforce Data Management Case Studies
NEW QUESTION # 151
How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?
Answer: C
Explanation:
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
NEW QUESTION # 152
What is Data Cloud's primary value to customers?
Answer: A
Explanation:
Data Cloud's primary value to customers is that it provides a platform that enables customers to create a unified view of a customer and their related data across different channels and systems, using the Customer
360 data model as the foundation. References: [Data Cloud Overview], [Customer 360 Data Model]
NEW QUESTION # 153
Which method should an administrator use when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK?
Answer: B
Explanation:
This method should be used when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK. Streaming Insight allows you to query and aggregate datafrom real- time streams using window functions. References:https://help.salesforce.com/s/articleView?id=sf.
c360_a_streaming_insights.htm&type=5
NEW QUESTION # 154
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