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| Section | Objectives |
|---|---|
| Topic 1: Identity Resolution | - Describe matching and reconciliation rules - Explain the purpose and configuration of Identity Resolution |
| Topic 2: Data Cloud Setup and Administration | - Manage Data Cloud permissions and security - Configure Data Cloud settings |
| Topic 3: Activation | - Describe activation use cases - Configure activations to various targets |
| Topic 4: Data Cloud Overview | - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform - Explain the purpose and functionality of Data Cloud |
| Topic 5: Data Ingestion and Modeling | - Explain data modeling concepts including Data Model Objects (DMOs) - Describe data streams and data sources |
| Topic 6: Segmentation and Calculated Insights | - Explain calculated insights - Create and manage segments |
| Topic 7: Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
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NEW QUESTION # 103
What is the first thing a business stakeholder should focus on when considering a Data Cloud implementation?
Answer: D
Explanation:
This is the first thing a business stakeholder should focus on when considering a Data Cloud implementation. Obtaining cross-organizational buy-in involves aligning the goals and expectations of different teams and stakeholders who will use or contribute to Data Cloud. Reference: https://trailhead.salesforce.com/content/learn/modules/customer-data-platform-basics/get-started-with-customer-data-platform
NEW QUESTION # 104
The marketing manager at Cloud Kicks plans to bring in corporate phone numbers for its accounts into Data Cloud. They plan to use a custom field with data set to Phone to store these phone numbers.
Which statement is true when ingesting phone numbers?
Answer: A
Explanation:
When ingesting phone numbers into a custom field with the Phone data type in Salesforce Data Cloud, the correct statement is that text values can be accepted for ingestion into a phone data type field . Here's why:
Understanding the Requirement
The marketing manager at Cloud Kicks plans to ingest corporate phone numbers into Data Cloud using a custom field with the Phone data type.
It is important to understand how phone numbers are validated and stored during ingestion.
Why Text Values Can Be Accepted?
Phone Data Type Behavior :
The Phone data type in Salesforce accepts text values, as phone numbers are typically stored as strings (e.g.,
"+1-800-555-1234").
While the field is designed for phone numbers, it does not enforce strict formatting rules during ingestion.
Validation During Ingestion :
Salesforce does not validate the format of phone numbers at the time of ingestion.
Validation occurs only when the data is used in downstream systems or applications that enforce formatting rules.
Other Options Are Incorrect :
B). Data Cloud validates the format of the phone number at the time of ingestion : This is incorrect because Data Cloud does not validate phone number formats during ingestion.
C). The phone number field can only accept 10-digit values : This is incorrect because the Phone data type supports various formats, including international numbers.
D). The phone number field should be used as a primary key : This is incorrect because phone numbers are not unique identifiers and should not be used as primary keys.
Steps to Ingest Phone Numbers
Step 1: Create a Custom Field
Navigate to Object Manager > Account > Fields & Relationships and create a custom field with the Phone data type.
Step 2: Configure Data Ingestion
Ensure the source data includes phone numbers as text values.
Map the phone number field from the source to the custom field in Data Cloud.
Step 3: Validate Data Usage
Test the ingested data to ensure it meets downstream requirements (e.g., formatting for dialing).
Conclusion
Text values can be accepted for ingestion into a Phone data type field, as phone numbers are stored as strings and formatting validation occurs later in the process.
NEW QUESTION # 105
How many calculated insights can be created per tenant?
Answer: B
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 # 106
Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_stream_category.htm&type=5
NEW QUESTION # 107
Which of the following are characteristics of Formulas? (Choose 2)
Answer: A,C
Explanation:
These are two characteristics of Formulas. Formulas are a feature that allows you to create custom fields in the data model using simple logic on a row-based operation. For example, you can use a formula to create a field that concatenates the first name and last name of an individual. Formulas are easy to use and self-service, meaning that you can create them without coding or complex queries. You can use formulas to enrich your data and create more meaningful segments and insights. Reference: Formulas
NEW QUESTION # 108
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