Salesforce Customer Data Platform (CDP) Exam (SU24) (Customer-Data-Platform) Practice Test

Questions # 21:

Which two features can be used to validate the data in the unified profile object? [Answer need confirmation]

Options:

Query API

Data Explorer

Segmentation

Identity Reconciliation

Questions # 22:

What are the two distinct phases of data management in CDP?

Options:

Data Ingestion

Data Actions

Data Modeling

Data Activation

Questions # 23:

What is the Salesforce CRM connector full refresh frequency for data streams?

Options:

One time only

Weekly

Daily

Hourly

Questions # 24:

Where is value suggestion for attributes in segmentation enabled?

Options:

Data Stream Setup

Data Modeling

Data Mapping

Segment Setup

Questions # 25:

How can a Data Subject Rights request from a customer be submitted to Salesforce CDP?

Options:

Using the consent API

Using a dedicated field in data stream

Using a dedicated data stream

Using Data Explorer

Questions # 26:

Which of the following objects or fields are supported for ingestion using the Salesforce CRM connect

Options:

Standard Big Objects

Standard Objects

Custom Big Objects

Classic Encrypted Fields

Custom Objects

Questions # 27:

What role in a company was Salesforce CDP designed for?

Options:

Developer

Marketer

Salesperson

Data Analyst

Questions # 28:

Whichfunction does the Copy SOQL button perform in Data Explorer?

Options:

Copy SOQL for any formula fields in that object

Copy SOQL for the current data view to clipboard and export

Copy SOQL for data export from Salesforce CDP

Copy SOQL for the current data view to clipboard

Questions # 29:

What salesforce CDP API enables simultaneous retrieve of customer profile details and computed insights?

Options:

Calculated insights api

Profile api

Query api

Metadata api

Questions # 30:

What are the two steps of data ingestion in Salesforce CDP?

Options:

Map ingested data to existing ingested data objects.

Map ingested data to data model with consistent semantics.

Preserve data persource schema with ingestion to data lake.

Establish a connection with the source data via REST API

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