FREE PDF 2025 AUTHORITATIVE SALESFORCE DATA-CLOUD-CONSULTANT: VALID SALESFORCE CERTIFIED DATA CLOUD CONSULTANT VCE

Free PDF 2025 Authoritative Salesforce Data-Cloud-Consultant: Valid Salesforce Certified Data Cloud Consultant Vce

Free PDF 2025 Authoritative Salesforce Data-Cloud-Consultant: Valid Salesforce Certified Data Cloud Consultant Vce

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

TopicDetails
Topic 1
  • Segmentation and Insights: This topic defines basic concepts of segmentation and use cases, identifies scenarios for analyzing segment membership, configuring, refining, and maintaining segments within Data Cloud, and differentiating between calculated and streaming insights.
Topic 2
  • Data Cloud Setup and Administration: This topic includes applying Data Cloud permissions, permission sets, org-wide settings. It describes and configures data stream types, and data bundles. Moreover, it discusses use cases for data spaces, creating data spaces, managing and administering Data Cloud using reports, dashboards, flows, packaging, data kits, diagnosing and exploring data using Data Explorer, Profile Explorer, and APIs.
Topic 3
  • Identity Resolution: It describes matching and how its rule sets are applied. Furthermore, it discusses reconciling data and its rule sets, the results of identity resolution, and use cases.
Topic 4
  • Data Ingestion and Modeling: This topic covers the different transformation capabilities within Data Cloud. It includes describing processes and considerations for data ingestion from various sources, defining, mapping, and modeling data using best practices aligned with identity resolution. Lastly, it discusses using available tools to inspect and validate ingested and modeled data.

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Salesforce Certified Data Cloud Consultant Sample Questions (Q143-Q148):

NEW QUESTION # 143
During an implementation project, a consultant completed ingestion of all data streams for their customer.
Prior to segmenting and acting on that data, which additional configuration is required?

  • A. Data Activation
  • B. Data Mapping
  • C. Identity Resolution
  • D. Calculated Insights

Answer: C

Explanation:
Explanation
After ingesting data from different sources into Data Cloud, the additional configuration that is required before segmenting and acting on that data is Identity Resolution. Identity Resolution is the process of matching and reconciling source profiles from different data sources and creating unified profiles that represent a single individual or entity1. Identity Resolution enables you to create a 360-degree view of your customers and prospects, and to segment and activate them based on their attributes and behaviors2. To configure Identity Resolution, you need to create and deploy a ruleset that defines the match rules and reconciliation rules for your data3. The other options are incorrect because they are not required before segmenting and acting on the data. Data Activation is the process of sending data from Data Cloud to other Salesforce clouds or external destinations for marketing, sales, or service purposes4. Calculated Insights are derived attributes that are computed based on the source or unified data, such as lifetime value, churn risk, or product affinity5. Data Mapping is the process of mapping source attributes to unified attributes in the data model. These configurations can be done after segmenting and acting on the data, or in parallel with Identity Resolution, but they are not prerequisites for it. References: Identity Resolution Overview, Segment and Activate Data in Data Cloud, Configure Identity Resolution Rulesets, Data Activation Overview, Calculated Insights Overview,
[Data Mapping Overview]


NEW QUESTION # 144
What does the Source Sequence reconciliation rule do in identity resolution?

  • A. Identifies which data sources should be used in the process of reconcillation by prioritizing the most recently updated data source
  • B. Identifies which individual records should be merged into a unified profile by setting a priority for specific data sources
  • C. Includes data from sources where the data is most frequently occurring
  • D. Sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name

Answer: D

Explanation:
The Source Sequence reconciliation rule sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name. This rule allows you to define which data source should be used as the primary source of truth for each attribute, and which data sources should be used as fallbacks in case the primary source is missing or invalid. For example, you can set the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing Cloud as the second priority, and data from Google Analytics as the third priority for the first name attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists, otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the accuracy and consistency of the unified profile attributes across different data sources. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules


NEW QUESTION # 145
Which data model subject area should be used for any Organization, Individual, or Member in the Customer
360 data model?

  • A. Party
  • B. Membership
  • C. Global Account
  • D. Engagement

Answer: A

Explanation:
The data model subject area that should be used for any Organization, Individual, or Member in the Customer
360 data model is the Party subject area. The Party subject area defines the entities that are involved in any business transaction or relationship, such as customers, prospects, partners, suppliers, etc. The Party subject area contains the following data model objects (DMOs):
* Organization: A DMO that represents a legal entity or a business unit, such as a company, a department, a branch, etc.
* Individual: A DMO that represents a person, such as a customer, a contact, a user, etc.
* Member: A DMO that represents the relationship between an individual and an organization, such as an employee, a customer, a partner, etc.
The other options are not data model subject areas that should be used for any Organization, Individual, or Member in the Customer 360 data model. The Engagement subject area defines the actions that people take, such as clicks, views, purchases, etc. The Membership subject area defines the associations that people have with groups, such as loyalty programs, clubs, communities, etc. The Global Account subject area defines the hierarchical relationships between organizations, such as parent-child, subsidiary, etc.
References:
* Data Model Subject Areas
* Party Subject Area
* Customer 360 Data Model


NEW QUESTION # 146
The marketing manager at Cloud Kicks plans to bring in corporate phone numbers for its accounts into Data Cloud. They plan to use a custom field with data set to Phone to store these phone numbers.
Which statement is true when ingesting phone numbers?

  • A. Text value can be accepted for ingestion into = phone data type field.
  • B. The phone number field should be used as a primary key.
  • C. The phone number field car only accept 10-digit values.
  • D. Data Cloud validates the format of the phone number at the time of Ingestion.

Answer: A

Explanation:
When ingesting phone numbers into a custom field with the Phone data type in Salesforce Data Cloud, the correct statement is that text values can be accepted for ingestion into a phone data type field . Here's why:
Understanding the Requirement
The marketing manager at Cloud Kicks plans to ingest corporate phone numbers into Data Cloud using a custom field with the Phone data type.
It is important to understand how phone numbers are validated and stored during ingestion.
Why Text Values Can Be Accepted?
Phone Data Type Behavior :
The Phone data type in Salesforce accepts text values, as phone numbers are typically stored as strings (e.g., "+1-800-555-1234").
While the field is designed for phone numbers, it does not enforce strict formatting rules during ingestion.
Validation During Ingestion :
Salesforce does not validate the format of phone numbers at the time of ingestion.
Validation occurs only when the data is used in downstream systems or applications that enforce formatting rules.
Other Options Are Incorrect :
B . Data Cloud validates the format of the phone number at the time of ingestion : This is incorrect because Data Cloud does not validate phone number formats during ingestion.
C . The phone number field can only accept 10-digit values : This is incorrect because the Phone data type supports various formats, including international numbers.
D . The phone number field should be used as a primary key : This is incorrect because phone numbers are not unique identifiers and should not be used as primary keys.
Steps to Ingest Phone Numbers
Step 1: Create a Custom Field
Navigate to Object Manager > Account > Fields & Relationships and create a custom field with the Phone data type.
Step 2: Configure Data Ingestion
Ensure the source data includes phone numbers as text values.
Map the phone number field from the source to the custom field in Data Cloud.
Step 3: Validate Data Usage
Test the ingested data to ensure it meets downstream requirements (e.g., formatting for dialing).
Conclusion
Text values can be accepted for ingestion into a Phone data type field, as phone numbers are stored as strings and formatting validation occurs later in the process.


NEW QUESTION # 147
A marketing manager at Northern Trail Outfitters wants to Improve marketing return on investment (ROI) by tapping into Insights from Data Cloud Segment Intelligence.
Which permission set does a user need to set this up?

  • A. Data Cloud Admin
  • B. Data Cloud Data Aware Specialist
  • C. Cloud Marketing Manager
  • D. Data Cloud User

Answer: A


NEW QUESTION # 148
......

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