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 Data-Cloud-Consultant Dumps with Practice Exam Questions Answers

Questions: 104 questions

Last Update: May 17, 2024

Data-Cloud-Consultant Question Includes: Single Choice Questions: 81, Multiple Choice Questions: 23,

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Salesforce Data-Cloud-Consultant Practice Exam FAQs

1. What is Salesforce Data-Cloud-Consultant Exam?

Salesforce Data-Cloud-Consultant exam is a certification exam that validates the knowledge and skills of candidates in designing and implementing Data Cloud solutions for customers.

2. What are the prerequisites for taking the Salesforce Data-Cloud-Consultant Exam?

There are no prerequisites for taking the Salesforce Data-Cloud-Consultant exam. However, it is recommended that candidates have a broad knowledge of Data Cloud and its capabilities, ranging from positioning Data Cloud and its business value to designing and implementing Data Cloud solutions for customers.

3. What is the format of the Salesforce Data-Cloud-Consultant Exam?

The Salesforce Data-Cloud-Consultant exam consists of 60 multiple-choice questions. The exam has a duration of 105 minutes.

4. What are the key topics covered in the Salesforce Data-Cloud-Consultant Exam?

The Salesforce Data-Cloud-Consultant exam focuses on various aspects of Data Cloud, including:

  • Data Integration: Data APIs, Data Sync, MuleSoft Connector.
  • Data Governance: Data Quality, Privacy, Security.
  • Data Modeling: Customer 360, Identity, Relationships.
  • Einstein Analytics: Data Prep, Insights, Lenses.
  • Marketing Cloud Integration: Journey Builder, Personalization.

5. What is the validity period of the Salesforce Data-Cloud-Consultant Exam?

The Salesforce Data-Cloud-Consultant  exam is valid for two years from the date of issue.

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Yes! Enjoy instant access to all Salesforce Data Cloud practice tests upon successful payment. Download the PDF, use the testing engine, and start studying right away.

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Data-Cloud-Consultant Questions and Answers

Question # 1

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

Question # 2

Cumulus Financial uses Data Cloud to segment banking customers and activate them for direct mail via a Cloud File Storage

activation. The company also wants to analyze individuals who have been in the segment within the last 2 years.

Which Data Cloud component allows for this?


Nested segments


Segment exclusion


Calculated insights


Segment membership data model object

Question # 3

A customer wants to use the transactional data from their data warehouse in Data Cloud.

They are only able to export the data via an SFTP site.

How should the file be brought into Data Cloud?


Ingest the file with the SFTP Connector.


Ingest the file through the Cloud Storage Connector.


Manually import the file using the Data Import Wizard.


Use Salesforce's Dataloader application to perform a bulk upload from a desktop.

Question # 4

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

Question # 5

A consultant is planning the ingestion of a data stream that has profile information including a mobile phone number.

To ensure that the phone number can be used for future SMS campaigns, they need to confirm the phone number field is in the

proper E164 Phone Number format. However, the phone numbers in the file appear to be in varying formats.

What is the most efficient way to guarantee that the various phone number formats are standardized?


Create a formula field to standardize the format.


Edit and update the data in the source system prior to sending to Data Cloud.


Assign the PhoneNumber field type when creating the data stream.


Create a calculated insight after ingestion.