[Q14-Q33] Pass Data-Cloud-Consultant Exam in First Attempt Guaranteed 2025 Dumps!

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Pass Data-Cloud-Consultant Exam in First Attempt Guaranteed 2025 Dumps!

Data-Cloud-Consultant Dumps Full Questions – Exam Study Guide

Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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 3	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 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.
Topic 5	Data Cloud Overview: This topic covers Data Cloud’s function, key terminology, business value, typical use cases, the Data Cloud lifecycle, dependencies, and principles of data ethics. These sub-topics provide an overview of Data Cloud’s capabilities and applications.

Q14. Cumulus Financial created a segment called High Investment Balance Customers. This is a foundational segment that includes several segmentation criteria the marketing team should consistently use.
Which feature should the consultant suggest the marketing team use to ensure this consistency when creating future, more refined segments?

Create new segments using nested segments.

Create a High Investment Balance calculated insight.

Package High Investment Balance Customers in a data kit.

Create new segments by cloning High Investment Balance Customers.

Q15. Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?

Individual

Transaction

Sales Order

Engagement

Q16. Northern Trail Outfitters unifies individuals in its Data Cloud instance.
Which three features ca e consultant use to validate the data on a unified profile?
Choose 3 answers

Identity Resolution

Query APL

Data Explorer

Profile Explorer

Data Actions

Q17. Cumulus Financial wants to segregate Salesforce CRM Account data based on Country for its Data Cloud users.
What should the consultant do to accomplish this?

Use streaming transforms to filter out Account data based on Country and map to separate data model objects accordingly.

Use the data spaces feature and applying filtering on the Account data lake object based on Country.

Use Salesforce sharing rules on the Account object to filter and segregate records based on Country.

Use formula fields based on the account Country field to filter incoming records.

Q18. Every day, Northern Trail Outfitters uploads a summary of the last 24 hours of store transactions to a new file in an Amazon S3 bucket, and files older than seven days are automatically deleted. Each file contains a timestamp in a standardized naming convention.
Which two options should a consultant configure when ingesting this data stream?
Choose 2 answers

Ensure that deletion of old files is enabled.

Ensure the refresh mode is set to “Upsert”.

Ensure the filename contains a wildcard toa accommodatethe timestamp.

Ensure the refresh mode is set to “Full Refresh.”

Q19. Which statement about Data Cloud’s Web and Mobile ApplicationConnector is true?

A standard schemacontaining event, profile, andtransaction data is created at the time the connector is configured.

The Tenant Specific Endpoint is auto-generated in Data Cloud when setting the connector.

Any data streams associated with the connector will be automatically deleted upon deleting the app from Data Cloud Setup.

The connector schema can be updated to delete an existing field.

Q20. What is Data Cloud’s primary value to customers?

To provide a unified view of a customer and their related data

To connect all systems with a golden record

To create a single source of truth for all anonymous data

To create personalized campaigns by listening, understanding, and acting on customer behavior

Q21. A consultant needs to package Data Cloud components from one
organization to another.
Which two Data Cloud components should the consultant include in a
data kit to achieve this goal?
Choose 2 answers

Data model objects

Segments

Calculated insights

Identity resolution rulesets

Q22. 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?

Harmonization

Data Cleansing

Data Consolidation

Identity Resolution

Q23. Northern Trail Outfitters (NTO) owns and operates six unique brands, each with their own set of customers, transactions, and loyalty information. The marketing director wants to ensure that segments and activations from the NTO Outlet brand do not reference customers or transactions from the other brands.
What is the most efficient approach to handle this requirement?

Use Business Unit Aware activation.

Separate the Outlet brand into a data space.

Separate the brands into six different data spaces.

Create a batch data transform to generate a DLO for the Outlet brand.

To ensure segments and activations for the NTO Outlet brand do not reference data from other brands, the most efficient approach is to isolate the Outlet brand’s data using Data Spaces. Here’s the analysis:
Data Spaces (Option B):
Definition: Data Spaces in Salesforce Data Cloud partition data into isolated environments, ensuring that segments, activations, and analytics only reference data within the same space.
Why It Works: By creating a dedicated Data Space for the Outlet brand, all customer, transaction, and loyalty data for Outlet will be siloed. Segments and activations built in this space cannot access data from other brands, even if they exist in the same Data Cloud instance.
Efficiency: This avoids complex filtering logic or manual data management. It aligns with Salesforce’s best practice of using Data Spaces for multi-brand or multi-entity organizations (Source: Salesforce Data Cloud Implementation Guide, “Data Partitioning with Data Spaces”).
Why Other Options Are Incorrect:
Business Unit Aware Activation (A):
Business Unit (BU) settings in Salesforce CRM control record visibility but are not natively tied to Data Cloud segmentation.
BU-aware activation ensures activations respect sharing rules but does not prevent segments from referencing data across BUs in Data Cloud.
Six Different Data Spaces (C):
While creating a Data Space for each brand (6 total) would technically isolate all data, the requirement specifically focuses on the Outlet brand. Creating six spaces is unnecessary overhead and not the “most efficient” solution.
Batch Data Transform to Generate DLO (D):
Creating a Data Lake Object (DLO) via batch transforms would require ongoing manual effort to filter Outlet-specific data and does not inherently prevent cross-brand references in segments.
Steps to Implement:
Step 1: Navigate to Data Cloud Setup > Data Spaces and create a new Data Space for the Outlet brand.
Step 2: Ingest Outlet-specific data (customers, transactions, loyalty) into this Data Space.
Step 3: Build segments and activations within the Outlet Data Space. The system will automatically restrict access to other brands’ data.
Conclusion: Separating the Outlet brand into its own Data Space (Option B) is the most efficient way to enforce data isolation and meet the requirement. This approach leverages native Data Cloud functionality without overcomplicating the setup.

Individuals who purchased at least one of any red’ product and also purchased at least one pairof ‘shoes’

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

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

Individuals who purchased at least one of any ‘red’ product or purchased at least one pair of’shoes’

Q25. What does the Ignore Empty Value option do in identity resolution?

Ignores empty fields when running any custom match rules

Ignores empty fields when running reconciliation rules

Ignores Individual object records with empty fields when running identity resolution rules

Ignores empty fields when running the standard match rules

Q26. What is the result of a segmentation criteria filtering on City | Is Equal To | ‘San Jose’?

Cities containing ‘San Jose’, ‘San Jose’, ‘san jose’, or ‘san jose’

Cities only containing ‘San Jose’ or ‘san jose’

Cities only containing ‘San Jose’ or ‘San Jose’

Cities only containing ‘San Jose’ or ‘san jose’

Q27. A customer creates a large segment of customers that placed orders in the last 30 days, and adds related attributes from the… to the activation. Upon checking the activation in Marketing Cloud, they notice It contains orders that are older than 30 days.
What should a consultant do to resolve this issue?

use data graphs that contain only 30 days of data.

Apply a data space fitter to exclude orders older than 30 days.

Apply a filter to Purchase Order Date to exclude orders older than 30 days.

Use SQL in Marketing Cloud Engagement to remove orders older than 30 days.

Q28. Which two requirements must be met for a calculated insight to appear in the segmentation canvas?
Choose 2 answers

The metrics of the calculated insights must only contain numeric values.

The primary key of the segmented table must be a metric in the calculated insight.

The calculated insight must contain a dimension including the Individual or Unified Individual Id.

The primary key of the segmented table must be a dimension in the calculated insight.

Q29. What should an organization use to stream inventory levels from an inventory management system into Data Cloud in a fast and scalable, near-real-time way?

Cloud Storage Connector

Commerce Cloud Connector

Ingestion API

Marketing Cloud Personalization Connector

Q30. Cloud Kicks wants to be able to build a segment of customers who have visited its website within the previous
7 days.
Which filter operator on the Engagement Date field fits this use case?

Is Between

Greater than Last Number of

Next Number of Days

Last Number of Days

Q31. A Data Cloud customer wants to adjust their identity resolution rules to increase their accuracy of matches. Rather than matching on email address, they want to review a rule that joins their CRM Contacts with their Marketing Contacts, where both use the CRM ID as their primary key.
Which two steps should the consultant take to address this new use case?
Choose 2 answers

Map the primary key from the two systems to Party Identification, using CRM ID as the identification name for both.

Map the primary key from the two systems to party identification, using CRM ID as the identification name for individuals coming from the CRM, and Marketing ID as the identification name for individuals coming from the marketing platform.

Create a custom matching rule for an exact match on the Individual ID attribute.

Create a matching rule based on party identification that matches on CRM ID as the party identification name.

Q32. What is the primary purpose of Data Cloud?

Providing a golden record of a customer

Managing sales cycles and opportunities

Analyzing marketing data results

Integrating and unifying customer data

Q33. 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?

The .txt file

The json file

The .csv file

The .zip file

Salesforce Data Cloud Free Certification Exam Material from TestBraindump with 170 Questions: https://www.testbraindump.com/Data-Cloud-Consultant-exam-prep.html

[Q14-Q33] Pass Data-Cloud-Consultant Exam in First Attempt Guaranteed 2025 Dumps!

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