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Salesforce Data-Cloud-Consultant Exam (page: 7)
Salesforce Certified Data Cloud Consultant
Updated on: 25-Dec-2025

Viewing Page 7 of 35
Data-Cloud-Consultant PDF 170 Questions

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?

  1. Ingest the file with the SFTP Connector.
  2. Ingest the file through the Cloud Storage Connector.
  3. Manually import the file using the Data Import Wizard.
  4. Use Salesforce's Dataloader application to perform a bulk upload from a desktop.

Answer(s): A

Explanation:

The SFTP Connector is a data source connector that allows Data Cloud to ingest data from an SFTP

server. The customer can use the SFTP Connector to create a data stream from their exported file and bring it into Data Cloud as a data lake object. The other options are not the best ways to bring the file into Data Cloud because:
B . The Cloud Storage Connector is a data source connector that allows Data Cloud to ingest data from cloud storage services such as Amazon S3, Azure Storage, or Google Cloud Storage. The customer does not have their data in any of these services, but only on an SFTP site. C . The Data Import Wizard is a tool that allows users to import data for many standard Salesforce objects, such as accounts, contacts, leads, solutions, and campaign members. It is not designed to import data from an SFTP site or for custom objects in Data Cloud. D . The Dataloader is an application that allows users to insert, update, delete, or export Salesforce records. It is not designed to ingest data from an SFTP site or into Data Cloud.


Reference:

SFTP Connector - Salesforce, Create Data Streams with the SFTP Connector in Data Cloud - Salesforce, Data Import Wizard - Salesforce, Salesforce Data Loader



When performing segmentation or activation, which time zone is used to publish and refresh data?

  1. Time zone specified on the activity at the time of creation
  2. Time zone of the user creating the activity
  3. Time zone of the Data Cloud Admin user
  4. Time zone set by the Salesforce Data Cloud org

Answer(s): D

Explanation:

The time zone that is used to publish and refresh data when performing segmentation or activation is D. Time zone set by the Salesforce Data Cloud org. This time zone is the one that is configured in the org settings when Data Cloud is provisioned, and it applies to all users and activities in Data Cloud. This time zone determines when the segments are scheduled to refresh and when the activations are scheduled to publish. Therefore, it is important to consider the time zone difference between the Data Cloud org and the destination systems or channels when planning the segmentation and activation strategies.


Reference:

Salesforce Data Cloud Consultant Exam Guide, Segmentation, Activation



Cumulus Financial is currently using Data Cloud and ingesting transactional data from its backend system via an S3 Connector in upsert mode. During the initial setup six months ago, the company created a formula field in Data Cloud to create a custom classification. It now needs to update this formula to account for more classifications.
What should the consultant keep in mind with regard to formula field updates when using the S3 Connector?

  1. Data Cloud will initiate a full refresh of data from $3 and will update the formula on all records.
  2. Data Cloud will only update the formula on a go-forward basis for new records.
  3. Data Cloud does not support formula field updates for data streams of type upsert.
  4. Data Cloud will update the formula for all records at the next incremental upsert refresh.

Answer(s): A



Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?

  1. Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.
  2. Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated.
  3. Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.
  4. Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud.
    They do not allow activation of new records.

Answer(s): B

Explanation:

Data Cloud requires a Contact Point for Marketing Cloud activations, which is a record that links an individual to an email address. This ensures that the individual has given consent to receive email communications and that the email address is valid. If the individual does not have a related Contact Point, they will not be activated in Marketing Cloud. This may result in a lower activated count than the segment count.


Reference:

Data Cloud Activation, Contact Point for Marketing Cloud



Northern Trail Outfitters wants to implement Data Cloud and has several use cases in mind.
Which two use cases are considered a good fit for Data Cloud?

Choose 2 answers

  1. To ingest and unify data from various sources to reconcile customer identity
  2. To create and orchestrate cross-channel marketing messages
  3. To use harmonized data to more accurately understand the customer and business impact
  4. To eliminate the need for separate business intelligence and IT data management tools

Answer(s): A,C

Explanation:

Data Cloud is a data platform that can help customers connect, prepare, harmonize, unify, query, analyze, and act on their data across various Salesforce and external sources. Some of the use cases that are considered a good fit for Data Cloud are:
To ingest and unify data from various sources to reconcile customer identity. Data Cloud can help customers bring all their data, whether streaming or batch, into Salesforce and map it to a common data model. Data Cloud can also help customers resolve identities across different channels and sources and create unified profiles of their customers. To use harmonized data to more accurately understand the customer and business impact. Data Cloud can help customers transform and cleanse their data before using it, and enrich it with calculated insights and related attributes. Data Cloud can also help customers create segments and audiences based on their data and activate them in any channel. Data Cloud can also help customers use AI to predict customer behavior and outcomes.
The other two options are not use cases that are considered a good fit for Data Cloud. Data Cloud does not provide features to create and orchestrate cross-channel marketing messages, as this is typically handled by other Salesforce solutions such as Marketing Cloud. Data Cloud also does not eliminate the need for separate business intelligence and IT data management tools, as it is designed to work with them and complement their capabilities.


Reference:

Learn How Data Cloud Works
About Salesforce Data Cloud
Discover Use Cases for the Platform
Understand Common Data Analysis Use Cases



Viewing Page 7 of 35



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