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Data-Cloud-Consultant Practice Questions

Question # 1
What is the primary purpose of Data Cloud?
A. Providing a golden record of a customer
B. Managing sales cycles and opportunities
C. Analyzing marketing data results
D. Integrating and unifying customer data


D. Integrating and unifying customer data

Explanation: Primary Purpose of Data Cloud: Salesforce Data Cloud's main function is to integrate and unify customer data from various sources, creating a single, comprehensive view of each customer.
Reference: Salesforce Data Cloud Overview

Benefits of Data Integration and Unification:
Golden Record: Providing a unified, accurate view of the customer.
Enhanced Analysis: Enabling better insights and analytics through comprehensive data. Improved Customer Engagement: Facilitating personalized and consistent customer experiences across channels.
Reference: Salesforce Data Cloud Benefits Documentation

Steps for Data Integration:
Ingest data from multiple sources (CRM, marketing, service platforms).
Use data harmonization and reconciliation processes to unify data into a single profile.
Reference: Salesforce Data Integration and Unification Guide

Practical Application:
Example: A retail company integrates customer data from online purchases, in-store transactions, and customer service interactions to create a unified customer profile.
This unified data enables personalized marketing campaigns and improved customer service. Reference: Salesforce Unified Customer Profile Case Studies

Question # 2
During discovery, which feature should a consultant highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile?
A. Data Cleansing
B. Harmonization
C. Data Consolidation
D. Identity Resolution


D. Identity Resolution


Question # 3
Cumulus Financial segregates its sales CRM data based on Region for its Data Cloud users. Multiple data spaces are configured: a default space and two additional spaces tailored for EMEA and APAC regions. EME A sales reps who need temporary access to visualize data for both regions say that they cannot visualize APAC data. APAC sales reps can visualize the corresponding segmented data. Which statement describes the cause of this issue?
A. The EMEA sales reps have not been assigned to the profile associated with the APAC data space.
B. The APAC data space is not associated with any permission set.
C. The APAC data space Is not associated with any profile.
D. The EMEA sales reps have not been assigned to the permission set associated with the APAC data space.


D. The EMEA sales reps have not been assigned to the permission set associated with the APAC data space.


Question # 4
A new user of Data Cloud only needs to be able to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user will also need to make changes if required. What is the minimum permission set needed to accommodate this use case?
A. Data Cloud for Marketing Specialist
B. Data Cloud Admin
C. Data Cloud for Marketing Data Aware Specialist
D. Data Cloud User


C. Data Cloud for Marketing Data Aware Specialist


Question # 5
What are the two minimum requirements needed when using the Visual Insights Builder to create a calculated insight? Choose 2 answers
A. At least one measure
B. At least one dimension
C. At least two objects to Join
D. A WHERE clause


A. At least one measure
B. At least one dimension

Explanation: Introduction to Visual Insights Builder: The Visual Insights Builder in Salesforce Data Cloud is a tool used to create calculated insights, which are custom metrics derived from the existing data. 
Reference: Salesforce Visual Insights Builder Documentation 

Requirements for Creating Calculated Insights: 

Measure: A measure is a quantitative value that you want to analyze, such as revenue, number of purchases, or total time spent on a platform. 
Dimension: A dimension is a qualitative attribute that you use to categorize or filter the measures, such as date, region, or customer segment. 
Reference: Salesforce Insights Builder Guide 

Steps to Create a Calculated Insight: 
Navigate to the Visual Insights Builder within Salesforce Data Cloud. Select "Create New Insight" and choose the dataset. 
Add at least one measure: This could be any metric you want to analyze, such as "Total Sales." 
Add at least one dimension: This helps to break down the measure, such as "Sales by Region." 
Reference: Salesforce Calculated Insights Creation Tutorial 

Practical Application: 
Example: To create an insight on "Average Purchase Value by Region," you would need: A measure: Total Purchase Value. 
A dimension: Customer Region. 

This allows for actionable insights, such as identifying high-performing regions.

Question # 6
A user Is not seeing suggested values from newly-modeled data when building a segment. What is causing this issue?
A. Value suggestion will only return results for the first 50 values of a specific attribute,
B. Value suggestion can only work on direct attributes and not related attributes.
C. Value suggestion requires Data Aware Specialist permissions at a minimum.
D. Value suggestion is still processing and takes up to 24 hours to be available.


D. Value suggestion is still processing and takes up to 24 hours to be available.


Question # 7
An organization wants to enable users with the ability to identify and select text attributes from a picklist of options. Which Data Cloud feature should help with this use case?
A. Value suggestion
B. Data harmonization
C. Transformation formulas
D. Global picklists


A. Value suggestion

Explanation: Value suggestion is a Data Cloud feature that allows users to see and select the possible values for a text field when creating segment filters. Value suggestion can be enabled or disabled for each data model object (DMO) field in the DMO record home. Value suggestion can help users to identify and select text attributes from a picklist of options, without having to type or remember the exact values. Value suggestion can also reduce errors and improve data quality by ensuring consistent and valid values for the segment filters. 
References: Use Value Suggestions in Segmentation, Considerations for Selecting Related Attributes

Question # 8
A consultant is integrating an Amazon 53 activated campaign with the customer's destination system. In order for the destination system to find the metadata about the segment, which file on the 53 will contain this information for processing?
A. The .txt file
B. The json file
C. The .csv file
D. The .zip file


B. The json file

Explanation:
The file on the Amazon S3 that will contain the metadata about the segment for processing is B. The json file. The json file is a metadata file that is generated along with the csv file when a segment is activated to Amazon S3. The json file contains information such as the segment name, the segment ID, the segment size, the segment attributes, the segment filters, and the segment schedule. The destination system can use this file to identify the segment and its properties, and to match the segment data with the corresponding fields in the destination system.
References:
Salesforce Data Cloud Consultant Exam Guide, Amazon S3 Activation

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Salesforce Data-Cloud-Consultant Exam Dumps

Exam Name: Salesforce Certified Data Cloud Consultant (WI25)
Certification Name: Salesforce Data Cloud

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