Customer-Data-Platform Salesforce Customer Data Platform (CDP) Exam (SU24) Questions and Answers

Partner Data

First Party Data

Third Party Data

Second Party Data

Email only

Email and MobileConnect

Email, MobileConnect and MobilePush

Email, MobileConnect, MobilePush and GroupConnect

Activate on Individual

Do not use Identity Resolution

Use Identity Resolution and activate on Unified Individual

Activate based on source identifiers

Filtered Data Extensions

Standard Data Extension

Shared Data Extension

Salesforce Data Extensions

DataSource Object

Data Model Object

Segment Objects

Data Extensions

Calculated Insights

Data Model

Segmentation

Calculated Insights

Activation

Tenant Specific Endpoint is auto-generated in CDP when setting up a Mobile or Web ap connectors

Mobile and Web SDK schema can be updated to delete an existing field

CDP admins can see the status of Web or Mobile connector app on the app details page

Any Data Streams associated with Web or Mobile connector app will be automatically owned -----

A file that contains the segment members with additional attributes

A file that contains the segment definition

A file that contains calculated insights

A file that contains security credentials

A platform where end users can see datacollected about themselves

Aplatform to buy and sell advertising data

A social media platform

A platform that collects and stores data about customers

CRM connector

Bulk load through S3 bucket

Ingestion API

MuleSoft Connector

Custom Connector

Mapingested data to existing ingested data objects

Map ingested data to the Data Model

Establish a connection with the source data via Rest API

Preserve data with ingestion to data lake

Customer provided S3 bucket

Salesforce provided S3 bucket

Salesforce Information Model

Any external cloud storage with a restful API

Department silos

Employees working from home

Misaligned business goals

No eCommerce websites

Using the consent API

Using a dedicated field in data stream

Using a dedicated data stream

Using Data Explorer

CDP does not mergesource records but instead creates a unified records that links all source records

The unified individual ID is refreshed after each resolution and it can change over a period of time.

CDP only lets you create one identity resolution ruleset

Fuzzyvalue used to match source profiles are stored in unified profile

Partner Data

Second Party Data

First Party Data

Third Party Data

10

50

500

99

Unified Lead Objects

UnifiedContact Point Objects

Unified Order Objects

Unified Product Objects

.json

.csv

.zip

.xls

Ignores empty reconciliation rules

Replaces the value with a null

Ignores empty fields when running reconciliation

Modified the valuein the field with a predefined value

Segments

Promotions

Profile attributes

Event data

Sales order

Engagement

Transaction

Individual

Einstein Activation

Reconciliation Rules

DataStream Sequence

Random Selection

Create new Calculated Insights(CI) -> Map Data Stream(DSO) to CI -> Use CI in segments

Create new Data Stream (DSO) -> Create Calculated Insights(CI) -> Use CI in segments

Create Segment -> Create Calculated Insights(CI) -> Create new Data Stream (DSO) -> Use CI in segments

Create new Data Stream (DSO) -> Map Data Stream Object (DMO)-> Create Calculated Insights(CI) -> Use CI in segments

Containers

Database Expression Operators

Attribute Library

Streaming Insights

5

10

50

100

Other Data

Engagement Data

Order Data

Profile Data

Event Data

Create a first-party data strategy that is not dependent on third party data

Ingest and unify data from anywhere to reconcile customer identity

Create cross channel marketingmessages across Email, SMS, Push and other channel

Manage social media data including interactions across all major social platforms

Data Stream schedule

Manual

Automated every 12 or 24 hours

Einstein Insights

Direct attributes have one to one relationship while Related attributes are one to many relationships

Direct attributes have one to many relationships while Related attributes are one to one relationship

Direct Attributes are Text based only and Related Attributes are Date and Number based

Direct attributes are attributes on the individual and related attributes are attributes on the unified individual

Product sold by salesforce

Conceptual model

Statistical model

Canonical model

1 - (Total Unified Profiles/ DSO profile)

1 - (Total Unified Profiles/ DMO profile)

1 - (Total Unified Profiles/ Data Stream profile)

The ability to enable integrations via api’sbetween different systems within an organization

The ability to sell customer data

The ability to merge customer information from various systems to create a single view of the customer

The ability to enable seamless customer transactions

A data stream attribute is used inSegmentation

A data stream attribute is used in Calculated Insight

A data stream attribute is mapped to a Data Model object

A data stream attribute is used in Activation

1:1

1: Many

Many: Many

None of the above

Include campaign code in segment name

Include campaign code in activation name

Include campaign code in activation description

Include campaign code in filename specification

Update field names in data model

Set preferred attribute names when configuring activationtarget

Update attributes names in the data stream configuration

Set preferred attribute names when configuring activation

Calculated Insights

Formula Field insights

Streaming Insights

Einstein Insights

Data Visualization

Data Unification

Data Cleansing

Data Mining

Marketing specialist

IT manager

Marketing manager

Data Aware Specialist

Tocreate relationships between your related attributes

Toshow the path of the attribute in the attribute library

To show unrelated attributes

To define data relationships in activation

Engagement data

Event data

Profile attributes

Segments

Calculated insights api

Profile api

Query api

Metadata api

Check if the file exists in S3 bucket

Check permissions are configured for the CDP user

Check permissions are configured for the S3 user

Check if cloud storage data source is enabled in cdp set up

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

Streaming Insight

ProfileInsight

Calculated Insight

Commerce Insight

Every 15 minutes

Every 12Hours

Hourly

Daily

Ingestion Schedule

Activation Schedule

Identity Resolution publish schedule

Segmentation schedule

The system does not fetch any file and the data stream shows an error.

The system chooses the first file foundin the S3 bucket

The ingestion setup can’t be completed without specifying the filename.

The ingestion setup is completedbut the data stream shows 0 records

Data Unification

Data Mining

Data Cleansing

1

2

10

No hard limit

Use and attribute filter feature in activation

Create a segmentand clone via API for each brand

Create a reusable container block with common criteria

Create a segment and copy for each brand.

Data Stream Setup

Data Modeling

Data Mapping

Segment Setup

Metrics & Dimensions

Metrics

Dimensions

Filters

All business unites (BUs) in the Account used for sending

All selected business unites (BUs) during mapping

Top-level (ENT) business unit only

All business units (BUs) in the Accountincluding Top-Level (ENT) business unit