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Salesforce Data-Cloud-Consultant Exam Overview:

Certification Vendor:	Salesforce
Exam Name:	Salesforce Certified Data Cloud Consultant Exam
Exam Number:	Data-Cloud-Consultant
Available Languages:	English
Recommended Training:	Salesforce Trailhead Data Cloud Learning
Exam Registration:	Salesforce Credentials
Sample Questions:	Salesforce Data-Cloud-Consultant Sample Questions
Official Syllabus URL:	https://trailhead.salesforce.com/credentials

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Latest Data-Cloud-Consultant Exam Questions & Reliable Data-Cloud-Consultant Test Topics

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Topic	Details
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 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.
Topic 3	Act on Data: This topic defines activations and their basic use cases, using attributes and related attributes, identifying and analyzing timing dependencies affecting the Data Cloud lifecycle. Additionally it focuses on troubleshooting common problems with activations, and using data actions, including their requirements and intended use cases.

Salesforce Certified Data 360 Consultant (Data-Con-101) Sample Questions (Q64-Q69):

NEW QUESTION # 64
Northern Trail Outfitters uses B2C Commerce and is exploring implementing Data Cloud to get a unified view of its customers and all their order transactions.
What should the consultant keep in mind with regard to historical data ingesting order data using the B2C Commerce Order Bundle?

A. The B2C Commerce Order Bundle ingests 12 months of historical data.
B. The B2C Commerce Order Bundle ingests 6 months of historical data.
C. The B2C Commerce Order Bundle ingests 30 days of historical data.
D. The B2C Commerce Order Bundle does not ingest any historical data and only ingests new orders from that point on.

Answer: D

Explanation:
The B2C Commerce Order Bundle is a data bundle that creates a data stream to flow order data from a B2C Commerce instance to Data Cloud. However, this data bundle does not ingest any historical data and only ingests new orders from the time the data stream is created. Therefore, if a consultant wants to ingest historical order data, they need to use a different method, such as exporting the data from B2C Commerce and importing it to Data Cloud using a CSV file12. Reference:
Create a B2C Commerce Data Bundle
Data Access and Export for B2C Commerce and Commerce Marketplace

NEW QUESTION # 65
A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour.
How should the consultant configure the solution to ensure the data action is triggered at the cadence required?

A. Set the insights aggregation time window to 1 hour.
B. Set the activation schedule to hourly.
C. Configure the data to be ingested in hourly batches.
D. Set the journey entry schedule to run every hour.

Answer: D

NEW QUESTION # 66
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. Engagement
D. Global Account

Answer: A

Explanation:
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 # 67
What is a typical use case for Salesforce Data Cloud?

A. Sending personalized emails at scale
B. Data synchronization across the Salesforce ecosystem
C. Storing CRM data on promises
D. Data harmonization across multiple platforms

Answer: D

Explanation:
A typical use case for Salesforce Data Cloud is data harmonization across multiple platforms . Here's why:
Understanding Salesforce Data Cloud
Salesforce Data Cloud is designed to aggregate, unify, and analyze customer data from multiple sources, including CRM, Marketing Cloud, external systems, and third-party platforms.
Its primary purpose is to provide a unified view of customer data for personalized experiences and actionable insights.
Why Data Harmonization Across Multiple Platforms?
Data Harmonization :
Data Cloud harmonizes data by standardizing and cleansing it from disparate sources.
This ensures consistency and accuracy across platforms, enabling organizations to create a single source of truth for customer data.
Use Case Alignment :
Data harmonization is a core functionality of Data Cloud, making it the most relevant use case among the options provided.
Other Options Are Less Relevant :
A . Data synchronization across the Salesforce ecosystem : While Data Cloud integrates with Salesforce products, its primary focus is on unifying data from multiple platforms, not just Salesforce.
B . Storing CRM data on premises : Data Cloud is a cloud-based solution and does not support on-premises storage.
D . Sending personalized emails at scale : This is a use case for Marketing Cloud, not Data Cloud.
Steps to Achieve Data Harmonization
Step 1: Ingest Data
Bring in customer data from multiple sources (e.g., CRM, Marketing Cloud, external systems) into Data Cloud.
Step 2: Standardize and Cleanse Data
Use batch or streaming transformations to standardize formats, remove duplicates, and cleanse data.
Step 3: Create Unified Profiles
Use identity resolution to merge related records into a single unified profile.
Step 4: Activate Insights
Leverage the harmonized data for segmentation, personalization, and analytics.
Conclusion
The most typical use case for Salesforce Data Cloud is data harmonization across multiple platforms , enabling organizations to unify and leverage customer data effectively.

NEW QUESTION # 68
A Data 360 Consultant is building a segment to announce a new product launch for customers who have previously purchased black pants. How should the consultant place the attributes for product color and product type from the Order Product object to meet this criteria?

A. Place the attributes for product color and product type in a single container.
B. Place the attributes for product color and product type as direct attributes.
C. Place the attribute for product color in one container and the attribute for product type in another container.
D. Place an attribute for the " black pants " calculated insight to dynamically apply.

Answer: A

NEW QUESTION # 69
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