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| Section | Objectives |
|---|---|
| Topic 1: Data Governance and Privacy | - Data privacy and compliance concepts - Security and data access controls |
| Topic 2: Identity Resolution and Unification | - Identity resolution rules - Unified customer profile concepts |
| Topic 3: Data Ingestion and Data Modeling | - Data sources and ingestion methods - Data model objects and harmonization |
| Topic 4: Segmentation and Activation | - Activation to Salesforce and external systems - Segmentation logic and audience building |
| Topic 5: Salesforce Data Cloud Fundamentals | - Data Cloud value and use cases - Core concepts and architecture |
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NEW QUESTION # 14
How many calculated insights can be created per tenant?
Answer: C
Explanation:
Explanation
The maximum number of calculated insights that can be created per tenant is 50. A calculated insight is a metric that defines and calculates a multidimensional measure on your data. You can use calculated insights to create segments and analyze your data in Data Cloud. You can also use calculated insights to create dashboards and reports in Tableau CRM. References: Calculated Insights
NEW QUESTION # 15
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 data from real-time streams using window functions. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 16
A customer needs to integrate in real time with Salesforce CRM.
Which feature accomplishes this requirement?
Answer: D
Explanation:
The correct answer is A. Streaming transforms. Streaming transforms are a feature of Data Cloud that allows real-time data integration with Salesforce CRM. Streaming transforms use the Data Cloud Streaming API to synchronize micro-batches of updates between the CRM data source and Data Cloud in near-real time1. Streaming transforms enable Data Cloud to have the most current and accurate CRM data for segmentation and activation2.
The other options are incorrect for the following reasons:
B). Data model triggers. Data model triggers are a feature of Data Cloud that allows custom logic to be executed when data model objects are created, updated, or deleted3. Data model triggers do not integrate data with Salesforce CRM, but rather manipulate data within Data Cloud.
C). Sales and Service bundle. Sales and Service bundle is a feature of Data Cloud that allows pre-built data streams, data model objects, segments, and activations for Sales Cloud and Service Cloud data sources4. Sales and Service bundle does not integrate data in real time with Salesforce CRM, but rather ingests data at scheduled intervals.
D). Data actions and Lightning web components. Data actions and Lightning web components are features of Data Cloud that allow custom user interfaces and workflows to be built and embedded in Salesforce applications5. Data actions and Lightning web components do not integrate data with Salesforce CRM, but rather display and interact with data within Salesforce applications.
1: Load Data into Data Cloud
2: [Data Streams in Data Cloud]
3: [Data Model Triggers in Data Cloud] unit on Trailhead
4: [Sales and Service Bundle in Data Cloud] unit on Trailhead
5: [Data Actions and Lightning Web Components in Data Cloud] unit on Trailhead
[Data Model in Data Cloud] unit on Trailhead
[Create a Data Model Object] article on Salesforce Help
[Data Sources in Data Cloud] unit on Trailhead
[Connect and Ingest Data in Data Cloud] article on Salesforce Help
[Data Spaces in Data Cloud] unit on Trailhead
[Create a Data Space] article on Salesforce Help
[Segments in Data Cloud] unit on Trailhead
[Create a Segment] article on Salesforce Help
[Activations in Data Cloud] unit on Trailhead
[Create an Activation] article on Salesforce Help
NEW QUESTION # 17
Which data model subject area should be used for any Organization, Individual, or Member in the Customer 360 data model?
Answer: A
Explanation:
The party subject area should be used for any organization, individual, or member in the Customer 360 data model. It includes information such as name, address, email, phone, and loyalty membership. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_party.htm&type=5
NEW QUESTION # 18
A consultant wants to build a new audience in Data Cloud.
Which three criteria can the consultant include when building a segment?
Choose 3 answers
Answer: C,D,E
Explanation:
A segment is a subset of individuals who meet certain criteria based on their attributes and behaviors. A consultant can use different types of criteria when building a segment in Data Cloud, such as:
Direct attributes: These are attributes that describe the characteristics of an individual, such as name, email, gender, age, etc. These attributes are stored in the Profile data model object (DMO) and can be used to filter individuals based on their profile data.
Calculated Insights: These are insights that perform calculations on data in a data space and store the results in a data extension. These insights can be used to segment individuals based on metrics or scores derived from their data, such as customer lifetime value, churn risk, loyalty tier, etc.
Related attributes: These are attributes that describe the relationships of an individual with other DMOs, such as Email, Engagement, Order, Product, etc. These attributes can be used to segment individuals based on their interactions or transactions with different entities, such as email opens, clicks, purchases, etc.
The other two options are not valid criteria for building a segment in Data Cloud. Data stream attributes are attributes that describe the streaming data that is ingested into Data Cloud from various sources, such as Marketing Cloud, Commerce Cloud, Service Cloud, etc. These attributes are not directly available for segmentation, but they can be transformed and stored in data extensions using streaming data transforms.
Streaming insights are insights that analyze streaming data in real time and trigger actions based on predefined conditions. These insights are not used for segmentation, but for activation and personalization. References: Create a Segment in Data Cloud, Use Insights in Data Cloud, Data Cloud Data Model
NEW QUESTION # 19
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