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Salesforce Salesforce-Data-Cloud Exam Sample Questions

Question # 1

An organization wants to enable users with the ability to identify and select text attributes from a picklist of options. Which Data Cloud feature can help with this use case?

A. Transformation Formulas

B. Data Harmonization

C. Value Suggestion

D. Global Picklists

Answer

C. Value Suggestion

Explanation:

Value suggestion is a feature of Data Cloud that allows you to identify and select text attributes from a picklist of options. You can use value suggestion to standardize values across different data sources and improve data quality. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_value_suggestion.htm &type=5

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Question # 2

Which configuration can support separate Amazon S3 buckets for data ingestion and activation?

A. Dedicated S3 data sources in activation setup

B. Dedicated S3 data sources in Data Cloud setup

C. Separate user credentials for data stream and activation

D. Separate user credentials for data stream and activation target

Answer

B. Dedicated S3 data sources in Data Cloud setup

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Question # 3

Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?

A. Transaction

B. Individual

C. Sales Order

D. Engagement

Answer

D. Engagement

The appropriate data stream category to be assigned for time-based operations in segmentation and calculated insights would be Engagement.

• Engagement data typically involves time-based interactions, such as customer behavior, activity, or interaction data, which are critical for segmentation and insights based on time.

• Transaction and Sales Order data categories are more focused on financial or order-related data, while Individual refers to static, personal customer data.

Therefore, Engagement is the most suitable for time-based operations.

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Question # 4

How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?

A. Use a formula field to update the field name in an activation.

B. Update attribute names in the data stream configuration.

C. Set preferred attribute names when configuring activation.

D. Update field names in the data model object.

Answer

C. Set preferred attribute names when configuring activation.

Explanation:

A Cloud File Storage target is a type of data action target in Data Cloud that allows sending data to a cloud storage service such as Amazon S3 or Google Cloud Storage.

When configuring an activation to a Cloud File Storage target, a consultant can modify the attribute names to match a naming convention by setting preferred attribute names in Data Cloud. Preferred attribute names are aliases that can be used to control the field names in the target file. They can be set for each attribute in the activation configuration, and they will override the default field names from the data model object.

The other options are incorrect because they do not affect the field names in the target file. Using a formula field to update the field name in an activation will not change the field name, but only the field value. Updating attribute names in the data stream configuration will not affect the existing data lake objects or data model objects. Updating field names in the data model object will change the field names for all data sources and activations that use the object, which may not be desirable or consistent.

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Question # 5

What is the correct formula to display the value of the raw data column of "RetailPrice' plus an additional 5 percent?

A. sourceField['RetailPrice1*l .05

B. SELECT(['RetailPrice']*1.05)

C. sourceField['retailprice']*1.05

D. SELECT(['retailprice']*1.05)

Answer

C. sourceField['retailprice']*1.05

Explanation:

This is the correct formula to display the value of the raw data column of “RetailPrice” plus an additional 5 percent. The formula uses the sourceField function to access the raw data column, and then multiplies it by 1.05 to add 5 percent. The formula is case-sensitive, so the column name must match exactly with the raw data column name. References: [Formula Editor], [sourceField Function]

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