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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

SectionObjectives
Data Cloud Setup and Administration- Manage Data Cloud permissions and security
- Configure Data Cloud settings
Activation- Configure activations to various targets
- Describe activation use cases
Data Cloud Reporting and Analytics- Utilize Data Cloud reports and dashboards
Data Cloud Overview- Describe the Data Cloud ecosystem and how it fits into the Salesforce platform
- Explain the purpose and functionality of Data Cloud
Segmentation and Calculated Insights- Explain calculated insights
- Create and manage segments
Data Ingestion and Modeling- Describe data streams and data sources
- Explain data modeling concepts including Data Model Objects (DMOs)
Identity Resolution- Describe matching and reconciliation rules
- Explain the purpose and configuration of Identity Resolution

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q89-Q94):

NEW QUESTION # 89
Which data model subject area defines the revenue or quantity for an opportunity by product family?

Answer: A

Explanation:
The sales order subject area defines the revenue or quantity for an opportunity by product family. It also includes information about the opportunity stage, close date, and owner.References:https://help.salesforce.com
/s/articleView?id=sf.c360_a_data_cloud_sales_order.htm&type=5


NEW QUESTION # 90
Which information is provided in a .csv file when activating to Amazon S3?

Answer: B

Explanation:
When activating to Amazon S3, the information that is provided in a .csv file is the activated data payload. The activated data payload is the data that is sent from Data Cloud to the activation target, which in this case is an Amazon S3 bucket1. The activated data payload contains the attributes and values of the individuals or entities that are included in the segment that is being activated2. The activated data payload can be used for various purposes, such as marketing, sales, service, or analytics3. The other options are incorrect because they are not provided in a .csv file when activating to Amazon S3. Option A is incorrect because an audit log is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Activation History tab4. Option C is incorrect because the metadata regarding the segment definition is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Segmentation tab5. Option D is incorrect because the manifest of origin sources within Data Cloud is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Data Sources tab. References: Data Activation Overview, Create and Activate Segments in Data Cloud, Data Activation Use Cases, View Activation History, Segmentation Overview, [Data Sources Overview]


NEW QUESTION # 91
What are the two minimum requirements needed when using the Visual Insights Builder to create a Calculated Insight?

Answer: A,B

Explanation:
These two requirements are needed when using the Visual Insights Builder to create a Calculated Insight. A dimension is an attribute that can be used to group or filter data, such as product category or customer segment. A measure is an attribute that can be used to perform calculations, such as revenue or quantity. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights_create.htm&type=5


NEW QUESTION # 92
Which type of measures with aggregate functions are supported?

Answer: A

Explanation:
Numeric is the only type of measures that support aggregate functions. Measures are numeric fields that can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. For example, you can use a measure to calculate the total revenue or the average order value from your data. Date, Text, and Boolean are not types of measures, but types of dimensions. Dimensions are fields that can be used to group or filter data, but not to perform calculations. Reference: Measures and Dimensions


NEW QUESTION # 93
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: C

Explanation:
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 # 94
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