Salesforce-Data-Cloud Exam Questions Instant Access

Question 1

A retail customer wants to bring customer data from different sources and wants to take advantage of Identity Resolution so that it can be used in Segmentation. On which entity should this be segmented for activation membership?

ASubscriber

BUnified Contact

CUnified Individual

DIndividual

Answer : C

The Unified Individual entity represents the result of Identity Resolution, which links together multiple records of an individual from different sources into a single profile4. This entity can be used for Segmentation and Activation, as it provides a complete and accurate view of each customer.

Question 2

What does the Ignore Empty Value option do in Identity Resolution?

AIgnores Individual object records with empty fields when running Identity Resolution rules

BIgnores empty fields when running any custom match rules

CIgnores empty fields when running reconciliation rules

DIgnores empty fields when running the standard match rules

Answer : C

The Ignore Empty Value option is a setting for reconciliation rules, which determine the logic for data selection in a unified profile7. If this option is enabled, empty fields are ignored when applying the reconciliation rule. For example, if the rule is to select the most frequent value, and one of the values is empty, it will not be counted as a frequency.

Question 3

Which two objects or fields are supported for ingestion using the Salesforce CRM connector?

ACustom Big Objects

BStandard Big Objects

CStandard Objects

DCustom Objects

Answer : C, D

These two objects or fields are supported for ingestion using the Salesforce CRM connector. You can select standard or custom objects from your Salesforce CRM org and map them to Data Cloud data model objects. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_salesforce_crm.htm&type=5

Question 4

How do the Data streams that use the Marketing Cloud Connector refresh data?

AManually refreshed by CDP Admin

BMarketing Cloud's Automation Studio handles this process.

CAPIs are used for refresh

DNone of the above

Answer : B

The data streams that use the Marketing Cloud Connector refresh data using Marketing Cloud's Automation Studio. The Marketing Cloud Connector is a feature that allows you to stream data from Marketing Cloud to Data Cloud in near real time. The connector uses Automation Studio to schedule and run data extracts from Marketing Cloud data extensions and send them to Data Cloud via SFTP. You can configure the frequency and time of the data extracts in Automation Studio. Reference:Marketing Cloud Connector

Question 5

When can the data types be changed during ingestion?

AAfter the DSO is created

BBefore DSO is created

CData type can never be changed

DData type can be changed at any time

Answer : B

The data types can be changed during ingestion before the Data Source Object (DSO) is created. A DSO is a container for ingested data that defines the schema, format, and metadata of the data. Data types can be changed in the Data Explorer before creating a DSO by using the Edit Schema option. Once a DSO is created, the data types cannot be changed. Reference:Create a Data Source Object

Question 6

How many days of historical data is loaded when B2C Commerce Data Stream is created

from the Order Bundle?

A90 days

B60 days

C30 days

D10 days

Answer : C

When B2C Commerce Data Stream is created from the Order Bundle, 30 days of historical data is loaded. The Order Bundle is a preconfigured data bundle that contains order-related data from B2C Commerce Cloud. Data Stream is a feature that allows you to stream data from B2C Commerce Cloud to Data Cloud in near real time. Reference:B2C Commerce Data Stream

Question 7

A customer wants to create segments of users based on their Customer Lifetime Value. The source data that will be brought into the Data Cloud does not include that KPI. What process should be followed to achieve this outcome?

AMap Data to Data Model > Create Calculated Insight > Use in Segmentation

BIngest Data > Map Data to Data Model > Create Calculated

CInsight > Use in Segmentation

DIngest Data > Create Calculated Insight > Use in Segmentation

ECreate Calculated Insight > Map Data to Data Model > Use in Segmentation

Answer : B

To create segments of users based on their Customer Lifetime Value, the customer needs to first ingest the source data into Data Cloud, then map the data to the Customer 360 data model, then create a calculated insight using the formula editor, and finally use the calculated insight in segmentation. Reference: [Data Ingestion], [Data Mapping], [Calculated Insights], [Segmentation]

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