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[Hardware] Salesforce-Data-Cloud Valid Test Forum, New Salesforce-Data-Cloud Test Prep

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【Hardware】 Salesforce-Data-Cloud Valid Test Forum, New Salesforce-Data-Cloud Test Prep

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q160-Q165):NEW QUESTION # 160
Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?
  • A. Transaction
  • B. Sales Order
  • C. Engagement
  • D. Individual
Answer: A
Explanation:
The transaction data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights. This category indicates that the data stream contains events that occur at a specific point in time and have a duration. References:https://help.salesforce.com/s/articleView?id=sf.
c360_a_data_cloud_data_stream_category.htm&type=5

NEW QUESTION # 161
A consultant wants to ensure that every segment managed by multiple brand teams adheres to the same set of exclusion criteria, that are updated on a monthly basis.
What is the most efficient option to allow for this capability?
  • A. Create a nested segment.
  • B. Create a segment and copy it for each brand.
  • C. Create a reusable container block with common criteria.
  • D. Create, publish, and deploy a data kit.
Answer: C
Explanation:
The most efficient option to allow for this capability is to create a reusable container block with common criteria. A container block is a segment component that can be reused across multiple segments. A container block can contain any combination of filters, nested segments, and exclusion criteria. A consultant can create a container block with the exclusion criteria that apply to all the segments managed by multiple brand teams, and then add the container block to each segment. This way, the consultant can update the exclusion criteria in one place and have them reflected in all the segments that use the container block.
The other options are not the most efficient options to allow for this capability. Creating, publishing, and deploying a data kit is a way to share data and segments across different data spaces, but it does not allow for updating the exclusion criteria on a monthly basis. Creating a nested segment is a way to combine segments using logical operators, but it does not allow for excluding individuals based on specific criteria. Creating a segment and copying it for each brand is a way to create multiple segments with the same exclusion criteria, but it does not allow for updating the exclusion criteria in one place.
Create a Container Block
Create a Segment in Data Cloud
Create and Publish a Data Kit
Create a Nested Segment

NEW QUESTION # 162
What are the two distinct phases of data model management in Data Cloud?
  • A. Data Actions
  • B. Data Modeling
  • C. Data Ingestion
  • D. Data Activation
Answer: B,C
Explanation:
These two phases are distinct phases of data model management in Data Cloud. Data ingestion is the process of bringing data from different sources into Data Cloud using connectors or APIs. Data modeling is the process of mapping the ingested data to the Data Cloud canonical model or creating custom data model objects. Reference: https://help.salesforce.com/s/ar ... odel.htm&type=5

NEW QUESTION # 163
Which permission setting should an administrator check if the custom CRM object is not available in New Data Stream configuration?
  • A. View All object permission enabled in source CRM org
  • B. Create object permission enabled in Data Cloud org
  • C. Modify All object permission enabled in DataCloud org
  • D. Ingest Object permission is enabled in the CRM org
Answer: A
Explanation:
This permission setting should be checked if the custom CRM object is not available in New Data Stream configuration. The user who connects the Salesforce CRM connector must have View All permission for the custom object in the source CRM org. References:https://help.salesforce.com/s/articleView?id=sf.
c360_a_data_cloud_salesforce_crm.htm&type=5

NEW QUESTION # 164
Which data stream category type should be assigned in order to use the dataset for date and time-based operations in segmentation and calculated insights?
  • A. Sales Order
  • B. Engagement
  • C. Profile
  • D. Individual
Answer: B
Explanation:
To use a dataset for date and time-based operations in segmentation and calculated insights, the data stream category type should be assigned as Engagement . Here's why:
Understanding the Requirement
The goal is to perform date and time-based operations (e.g., filtering customers based on specific dates or times) in segmentation and calculated insights.
This requires a data stream category that captures customer interactions or activities over time.
Why Engagement?
Engagement Data Streams :
Engagement data streams are designed to capture customer interactions, such as website visits, email opens, purchases, or other time-based activities.
These streams inherently include timestamps, making them ideal for date and time-based operations.
Use in Segmentation and Calculated Insights :
Segmentation often involves filtering customers based on their engagement behavior (e.g., "customers who visited the website in the last 7 days").
Calculated insights leverage engagement data to derive metrics like recency, frequency, and trends over time.
Other Categories Are Less Suitable :
Individual : Focuses on demographic or static attributes (e.g., name, age) rather than time-based interactions.
Sales Order : Captures transactional data but is not optimized for general engagement-based operations.
Profile : Represents unified customer profiles and does not directly support date and time-based operations.
Steps to Implement This Solution
Step 1: Assign the Correct Category
When setting up the data stream, assign the Engagement category to ensure it is optimized for time-based operations.
Step 2: Map Date-Time Fields
Ensure that relevant fields (e.g., interaction timestamps) are mapped correctly during ingestion.
Step 3: Use in Segmentation and Insights
Leverage the ingested engagement data for segmentation (e.g., "customers who engaged in the last 24 hours") and calculated insights (e.g., "average time between interactions").
Conclusion
The Engagement category is specifically designed for capturing time-based interactions, making it the best choice for datasets used in date and time-based operations in segmentation and calculated insights.

NEW QUESTION # 165
......
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