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Salesforce Data-Cloud-Consultant Exam (page: 3)
Salesforce Certified Data Cloud Consultant
Updated on: 25-Dec-2025

Viewing Page 3 of 35
Data-Cloud-Consultant PDF 170 Questions

What does the Source Sequence reconciliation rule do in identity resolution?

  1. Includes data from sources where the data is most frequently occurring
  2. Identifies which individual records should be merged into a unified profile by setting a priority for specific data sources
  3. Identifies which data sources should be used in the process of reconcillation by prioritizing the most recently updated data source
  4. Sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name

Answer(s): D

Explanation:

The Source Sequence reconciliation rule sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name. This rule allows you to define which data source should be used as the primary source of truth for each attribute, and which data sources should be used as fallbacks in case the primary source is missing or invalid. For example, you can set the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing Cloud as the second priority, and data from Google Analytics as the third priority for the first name attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists, otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the accuracy and consistency of the unified profile attributes across different data sources.


Reference:

Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules



Which two dependencies prevent a data stream from being deleted?

Choose 2 answers

  1. The underlying data lake object is used in activation.
  2. The underlying data lake object is used in a data transform.
  3. The underlying data lake object is mapped to a data model object.
  4. The underlying data lake object is used in segmentation.

Answer(s): B,C

Explanation:

To delete a data stream in Data Cloud, the underlying data lake object (DLO) must not have any dependencies or references to other objects or processes. The following two dependencies prevent a data stream from being deleted1:
Data transform: This is a process that transforms the ingested data into a standardized format and structure for the data model. A data transform can use one or more DLOs as input or output. If a DLO is used in a data transform, it cannot be deleted until the data transform is removed or modified. Data model object: This is an object that represents a type of entity or relationship in the data model. A data model object can be mapped to one or more DLOs to define its attributes and values. If a DLO is mapped to a data model object, it cannot be deleted until the mapping is removed or changed.


Reference:

1: Delete a Data Stream article on Salesforce Help
2: [Data Transforms in Data Cloud] unit on Trailhead
3: [Data Model in Data Cloud] unit on Trailhead



What should a user do to pause a segment activation with the intent of using that segment again?

  1. Deactivate the segment.
  2. Delete the segment.
  3. Skip the activation.
  4. Stop the publish schedule.

Answer(s): A

Explanation:

The correct answer is A. Deactivate the segment. If a segment is no longer needed, it can be deactivated through Data Cloud and applies to all chosen targets. A deactivated segment no longer publishes, but it can be reactivated at any time. This option allows the user to pause a segment activation with the intent of using that segment again. The other options are incorrect for the following reasons:
B . Delete the segment. This option permanently removes the segment from Data Cloud and cannot be undone. This option does not allow the user to use the segment again. C . Skip the activation. This option skips the current activation cycle for the segment, but does not affect the future activation cycles. This option does not pause the segment activation indefinitely. D . Stop the publish schedule. This option stops the segment from publishing to the chosen targets, but does not deactivate the segment. This option does not pause the segment activation completely.


Reference:

1: Deactivated Segment article on Salesforce Help
2: Delete a Segment article on Salesforce Help
3: Skip an Activation article on Salesforce Help
4: Stop a Publish Schedule article on Salesforce Help



When creating a segment on an individual, what is the result of using two separate containers linked by an AND as shown below?

GoodsProduct | Count | At Least | 1
Color | Is Equal To | red
AND
GoodsProduct | Count | At Least | 1
PrimaryProductCategory | Is Equal To | shoes

  1. Individuals who purchased at least one of any red' product and also purchased at least one pair of `shoes'
  2. Individuals who purchased at least one 'red shoes' as a single line item in a purchase
  3. Individuals who made a purchase of at least one 'red shoes' and nothing else
  4. Individuals who purchased at least one of any 'red' product or purchased at least one pair of 'shoes'

Answer(s): A

Explanation:

When creating a segment on an individual, using two separate containers linked by an AND means that the individual must satisfy both the conditions in the containers. In this case, the individual must have purchased at least one product with the color attribute equal to `red' and at least one product with the primary product category attribute equal to `shoes'. The products do not have to be the same or purchased in the same transaction. Therefore, the correct answer is A. The other options are incorrect because they imply different logical operators or conditions. Option B implies that the individual must have purchased a single product that has both the color attribute equal to `red' and the primary product category attribute equal to `shoes'. Option C implies that the individual must have purchased only one product that has both the color attribute equal to `red' and the primary product category attribute equal to `shoes' and no other products. Option D implies that the individual must have purchased either one product with the color attribute equal to `red' or one product with the primary product category attribute equal to `shoes' or both, which is equivalent to using an OR operator instead of an AND operator.


Reference:

Create a Container for Segmentation
Create a Segment in Data Cloud
Navigate Data Cloud Segmentation



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?

  1. Cloud Storage Connector
  2. Commerce Cloud Connector
  3. Ingestion API
  4. Marketing Cloud Personalization Connector

Answer(s): C

Explanation:

The Ingestion API is a RESTful API that allows you to stream data from any source into Data Cloud in a fast and scalable way. You can use the Ingestion API to send data from your inventory management system into Data Cloud as JSON objects, and then use Data Cloud to create data models, segments, and insights based on your inventory data. The Ingestion API supports both batch and streaming modes, and can handle up to 100,000 records per second. The Ingestion API also provides features such as data validation, encryption, compression, and retry mechanisms to ensure data quality and security.


Reference:

Ingestion API Developer Guide, Ingest Data into Data Cloud



Viewing Page 3 of 35



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