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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

Section	Objectives
Data Governance and Privacy	– Security and data access controls – Data privacy and compliance concepts
Identity Resolution and Unification	– Identity resolution rules – Unified customer profile concepts
Segmentation and Activation	– Segmentation logic and audience building – Activation to Salesforce and external systems
Data Ingestion and Data Modeling	– Data model objects and harmonization – Data sources and ingestion methods
Salesforce Data Cloud Fundamentals	– Data Cloud value and use cases – Core concepts and architecture

QUESTION 37
How does Data Cloud handle an individual’s right to be forgotten?

Deletes the specified Individual and records from any DMO/DLO related to the Individual.

Deletes the specified Individual and records from any DSO mapped to the Individual DMO.

Deletes the records from all DSOs and any downstream DMOs are updated at the next scheduled ingestion.

Deletes the specified Individual record and its Unified Individual Link record.

QUESTION 38
A customer wants to use the transactional data from their data warehouse in Data Cloud. They are only able to export the data via a SFTP site. What are two recommended ways to bring this data into Data Cloud?

Manually import the file using the Data Import Wizard

Utilize Salesforce’s Dataloader application to perform a bulk upload from a desktop

Import the file into Google Cloud Storage and ingest with the Cloud Storage Connector

Import the file into Amazon S3 and ingest with the Cloud Storage Connector

QUESTION 39
What is the first thing a business stakeholder should focus on whenconsidering a Data Cloud implementation?

Review consent and privacy management policies

Obtain cross-organizational buy-in

Identify activation targets

Identify data sources

QUESTION 40
A client wants to bring in loyalty data from a custom object in Salesforce CRM that contains a point balance for accrued hotel points and airline points within the same record. The client wants to split these point systems into two separate records for better tracking and processing.
What should a consultant recommend in this scenario?

Clone the data source object.

Use batch transforms to create a second data lake object.

Create a junction object in Salesforce CRM and modify the ingestion strategy.

Create a data kit from the data lake object and deploy it to the same Data Cloud org.

QUESTION 41
Northern Trail Outfitters is using the Marketing Cloud Starter Data Bundles to bring Marketing Cloud data into Data Cloud.
What are two of the available datasets in Marketing Cloud Starter Data Bundles?
Choose 2 answers

Personalization

MobileConnect

Loyalty Management

MobilePush

QUESTION 42
What is a DMO called if it inherits the name, shape, and semantics of the reference object?

Custom DMO

Standard DMO

Data Lake Object (DLO)

Data Source Object (DSO)

QUESTION 43
Which two applications automatically create activation targets at the time the application is connected to Data Cloud?

Personalization powered by Interaction Studio

Amazon S3

B2C Commerce

Marketing Cloud Engagement

QUESTION 44
Which three out-of-the-box connectors are available for Data Cloud?

Marketing Cloud

B2C Commerce

Slack Connector

Amazon S3

Amazon Redshift Connector

QUESTION 45
What does it mean to build a trust-based, first-party data asset?

Pass the trust-based compliance rules as a first-party data asset is added to Data Cloud

Provide transparency and security for data gathered from individuals who provide consent for its use and receive value in exchange

Obtain competitive data from reliable sources through interviews, surveys, and polls

Ensure opt-in consents are collected for all email marketing as required by law

QUESTION 46
The website team at Cumulus Financial Services wants to understand which identified users have browsed the jobs page on their website at least twice within the last 12 hours. Which component should a consultant recommend to achieve this goal?

Streaming Insight

Calculated Insight

Streaming Data Transformation

Segment

QUESTION 47
Which data stream category type should be assigned in order to use the dataset for date and time-based operations in segmentation and calculated insights?

Individual

Engagement

Sales Order

Profile

To use a dataset for date and time-based operations in segmentation and calculated insights, the data stream category type should be assigned as Engagement . Here’s why:
Understanding the Requirement
The goal is to perform date and time-based operations (e.g., filtering customers based on specific dates or times) in segmentation and calculated insights.
This requires a data stream category that captures customer interactions or activities over time.
Why Engagement?
Engagement Data Streams :
Engagement data streams are designed to capture customer interactions, such as website visits, email opens, purchases, or other time-based activities.
These streams inherently include timestamps, making them ideal for date and time-based operations.
Use in Segmentation and Calculated Insights :
Segmentation often involves filtering customers based on their engagement behavior (e.g., “customers who visited the website in the last 7 days”).
Calculated insights leverage engagement data to derive metrics like recency, frequency, and trends over time.
Other Categories Are Less Suitable :
Individual : Focuses on demographic or static attributes (e.g., name, age) rather than time-based interactions.
Sales Order : Captures transactional data but is not optimized for general engagement-based operations.
Profile : Represents unified customer profiles and does not directly support date and time-based operations.
Steps to Implement This Solution
Step 1: Assign the Correct Category
When setting up the data stream, assign the Engagement category to ensure it is optimized for time-based operations.
Step 2: Map Date-Time Fields
Ensure that relevant fields (e.g., interaction timestamps) are mapped correctly during ingestion.
Step 3: Use in Segmentation and Insights
Leverage the ingested engagement data for segmentation (e.g., “customers who engaged in the last 24 hours”) and calculated insights (e.g., “average time between interactions”).
Conclusion
The Engagement category is specifically designed for capturing time-based interactions, making it the best choice for datasets used in date and time-based operations in segmentation and calculated insights.

QUESTION 48
What is a unique requirement of a Streaming Insight query?

A dimension

A measurement

A window function

A WHERE clause

QUESTION 49
A financial services firm specializing in wealth management contacts a Data Cloud consultant with an identity resolution request. The company wants to enhance its strategy to better manage individual client profiles within family portfolios.
Family members often share addresses and sometimes phone numbers but have distinct investment preferences and financial goals. The firm aims to avoid blending individual family profiles into a single entity to maintain personalized service and accurate financial advice.
Which identity resolution strategy should the consultant put in place?

Configure a single match rule with a single connected contact point based on address.

Use multiple contact points without individual attributes in the match rules.

Use a more restrictive design approach to ensure the match rules perform as desired.

Configure a single match rule based on a custom identifier.

QUESTION 50
A consultant needs to minimize the difference between a Data Cloud segment population and Marketing Cloud data extension count to determine the true size of segments for campaign planning.
What should the consultant recommend to filter the segments by to accomplish this?

User preferences for marketing outreach

Geographical divisions

Marketing Cloud Journeys

Business units

QUESTION 51
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?

Transformation Formulas

Data Harmonization

Value Suggestion

Global Picklists

QUESTION 52
What can be customized in the Data Cloud canonical model?

Fields

Objects, Fields, and Relationships

Objects and Fields

Objects

QUESTION 53
A customer wants to use the transactional data from their data warehouse in Data Cloud. They are only able to export the data via a SFTP site. What are two recommended ways to bring this data into Data Cloud?

Manually import the file using the Data Import Wizard

Utilize Salesforce’s Dataloader application to perform a bulk upload from a desktop

Import the file into Google Cloud Storage and ingest with the Cloud Storage Connector

Import the file into Amazon S3 and ingest with the Cloud Storage Connector

QUESTION 54
When creating a segment on an individual, what is the result of using two separate containers linked by an AND: At Least 1 of GoodsProduct.Color Is Equal To ‘red’ AND At Least 1 of GoodsProduct.
PrimaryProductCategory Is Equal To shoes’?

Individuals who purchased at least 1 of any red’ product and also purchased at least 1 pair of shoes’

Individuals who purchased at least 1 ‘red shoes’ as a single line item in a purchase

Individuals whopurchased at least 1 ‘red shoes’. 1 of any red’ item, or 1 of any ‘shoes’ item in a purchase

Individuals who made a purchase of at least 1 of only ‘red shoes’ and nothing else

QUESTION 55
Northern Trail Outfitters (NTO) wants to connect their B2C Commerce data with Data Cloud and bring two years of transactional history into Data Cloud.
What should NTO use to achieve this?

B2C Commerce Starter Bundles

Direct Sales Order entity ingestion

Direct Sales Product entity ingestion

B2C Commerce Starter Bundles plus a custom extract

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Category Salesforce-Data-Cloud

[Oct-2026] Accredited Professional Salesforce-Data-Cloud Exam Practice Test Questions Dumps Bundle! [Q37-Q55]

Salesforce Salesforce-Data-Cloud Exam Syllabus Topics: