Salesforce New 2026 Data-Cloud-Consultant Test Tutorial (Updated 170 Questions) [Q79-Q103]

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Salesforce New 2026 Data-Cloud-Consultant Test Tutorial (Updated 170 Questions)

Data-Cloud-Consultant Exam Questions Dumps, Selling Salesforce Products

NO.79 A customer requests that their personal data be deleted.
Which action should the consultant take to accommodate this request in Data Cloud?

Use a streaming API call to delete the customer’s information.

Use Profile Explorer to delete the customer data from Data Cloud.

Use Consent API to request deletion of the customer’s information.

Use the Data Rights Subject Request tool to request deletion of the customer’s information.

NO.80 A customer is trying to activate data from Data Cloud to an Amazon S3 Cloud File Storage Bucket.
Which authentication type should the consultant recommend to connect to the S3 bucket from Data Cloud?

Use an S3 Private Key Certificate.

Use an S3 Encrypted Username and Password.

Use a JWT Token generated on S3.

Use an S3 Access Key and Secret Key.

NO.81 What does it mean to build a trust-based, first-party data asset?

To provide transparency and security for data gathered from individuals who provide consent for its use and receive value in exchange

To provide trusted, first-party data in the Data Cloud Marketplace that follows all compliance regulations

To ensure opt-in consents are collected for all email marketing as required by law

To obtain competitive data from reliable sources through interviews, surveys, and polls

NO.82 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

NO.83 A customer has a calculated insight about lifetime value.
What does the consultant need to be aware of if the calculated insight.
needs to be modified?

Mew dimensions can be added.

Existing dimensions can be removed.

Existing measures can be removed.

Mew measures can be added.

Explanation
A calculated insight is a multidimensional metric that is defined and calculated from data using SQL expressions. A calculated insight can include dimensions and measures. Dimensions are the fields that are used to group or filter the data, such as customer ID, product category, or region. Measures are the fields that are used to perform calculations or aggregations, such as revenue, quantity, or average order value. A calculated insight can be modified by editing the SQL expression or changing the data space. However, the consultant needs to be aware of the following limitations and considerations when modifying a calculated insight12:
* Existing dimensions cannot be removed. If a dimension is removed from the SQL expression, the calculated insight will fail to run and display an error message. This is because the dimension is used to create the primary key for the calculated insight object, and removing it will cause a conflict with the existing data. Therefore, the correct answer is B.
* New dimensions can be added. If a dimension is added to the SQL expression, the calculated insight will run and create a new field for the dimension in the calculated insight object. However, the consultant should be careful not to add too many dimensions, as this can affect the performance and usability of the calculated insight.
* Existing measures can be removed. If a measure is removed from the SQL expression, the calculated insight will run and delete the field for the measure from the calculated insight object. However, the consultant should be aware that removing a measure can affect the existing segments or activations that use the calculated insight.
* New measures can be added. If a measure is added to the SQL expression, the calculated insight will run and create a new field for the measure in the calculated insight object. However, the consultant should be careful not to add too many measures, as this can affect the performance and usability of the calculated insight. References: Calculated Insights, Calculated Insights in a Data Space.

NO.84 A customer has a requirement to be able to view the last time each segment was published within their Data Cloud org.
Which two features should the consultant recommend to best address this requirement?
Choose 2 answers

Profile Explorer

Calculated insight

Dashboard

Report

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

NO.86 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?

The B2C Commerce Order Bundle ingests 12 months of historical data.

The B2C Commerce Order Bundle ingests 6 months of historical data.

The B2C Commerce Order Bundle does not ingest any historical data and only ingests new orders from that point on.

The B2C Commerce Order Bundle ingests 30 days of historical data.

NO.87 A consultant is setting up a data stream with transactional data,
Which field type should the consultant choose to ensure that leading
zeros in the purchase order number are preserved?

Text

Number

Decimal

Serial

NO.88 A new user of Data Cloud only needs to be able to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user will also need to make changes if required.
What is the minimum permission set needed to accommodate this use case?

Data Cloud for Marketing Specialist

Data Cloud Admin

Data Cloud User

Data Cloud for Marketing Data Aware Specialist

NO.89 A Data Cloud consultant is working with data that is clean and organized. However, the various schemas refer to a person by multiple names – such as user; contact, and subscriber – and need a standard mapping.
Which term describes the process of mapping these different schema points into a standard data model?

Segment

Harmonize

Unify

Transform

NO.90 A customer has a custom Customer Email c object related to the standard Contact object in Salesforce CRM.
This custom object
stores the email address a Contact that they want to use for activation.
To which data entity is mapped?

Contact

Contact Point_Email

Custom customer Email__c object

Individual

NO.91 Which permission setting should a consultant check if the custom Salesforce CRM object is not available in New Data Stream configuration?

Confirm the Create object permission is enabled in the Data Cloud org.

Confirm the View All object permission is enabled in the source Salesforce CRM org.

Confirm the Ingest Object permission is enabled in the Salesforce CRM org.

Confirm that the Modify Object permission is enabled in the Data Cloud org.

NO.92 A new user of Data Cloud only needs to be able to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user will also need to make changes if required.
What is the minimum permission set needed to accommodate this use case?

Data Cloud for Marketing Specialist

Data Cloud Admin

Data Cloud User

Data Cloud for Marketing Data Aware Specialist

NO.93 A finance company that uses Data Cloud wants to simplify how its users can view all the various channels a customer engages with Which feature should the consultant recommend to meet this requirement?

Use Data Cloud to connect with analytic tools, like Tableau.

Use calculated insights to determine when and how to engage with various customers.

Create segments based on the ingested data and insights to activate in Marketing Cloud.

Use Data Cloud to ingest data from various available data sources.

NO.94 Northern Trail Outfitters (NTO) asks its Data Cloud consultant for a list of contacts who fit within a certain segment for a mailing campaign.
How should the consultant provide this list to NTO?

Create the segment and then click Download to obtain the segment membership details to provide to NTO.

Create a new file storage activation target, create the segment, and then activate the segment to the new activation target.

Create the segment, select Email as the activation target, and activate the segment di nearly to NTO.

Create the segment and then activate the segment to NTO’s Salesforce CRM.

NO.95 A global fashion retailer operates online sales platforms across AMFR, FMFA, and APAC. the data formats for customer, order, and product Information vary by region, and compliance regulations require data to remain unchanged in the original data sources They also require a unified view of customer profiles for real- time personalization and analytics.
Given these requirement, which transformation approach should the company implement to standardise and cleanse incoming data streams?

Implement streaming data transformations.

Implement batch data transformations.

Transform data before ingesting into Data Cloud.

Use Apex to transform and cleanse data.

NO.96 A retailer wants to unify profiles using Loyalty ID which is different than the unique ID of their customers.
Which object should the consultant use in identity resolution to perform exact match rules on the Loyalty ID?

Party Identification object

Loyalty Identification object

Individual object

Contact Identification object

NO.97 A consultant needs to minimize the difference between a Data Cloud segment population and Marketing Cloud data extension count to determine the true size of segments for campaign planning.
What should the consultant recommend to filter the segments by to accomplish this?

User preferences for marketing outreach

Geographical divisions

Marketing Cloud Journeys

Business units

NO.98 A segment fails to refresh with the error “Segment references too many data lake objects (DLOS)”.
Which two troubleshooting tips should help remedy this issue?
Choose 2 answers

Split the segment into smaller segments.

Use calculated insights in order to reduce the complexity of the segmentation query.

Refine segmentation criteria to limit up to five custom data model objects (DMOs).

Space out the segment schedules to reduce DLO load.

NO.99 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.

NO.100 What should a user do to pause a segment activation with the intent of using that segment again?

Deactivate the segment.

Delete the segment.

Skip the activation.

Stop the publish schedule.

NO.101 An automotive dealership wants to implement Data Cloud.
What is a use case for Data Cloud’s capabilities?

Implement a full archive solution with version management.

Use browser cookies to track visitor activity on the website and display personalized recommendations.

Build a source of truth for consent management across all unified individuals.

Ingest customer interaction across different touch points, harmonize, and build a data model for analytical reporting.

NO.102 A consultant wants to make sure address details from customer orders are selected as best to save to the unified profile.
What should the consultant do to achieve this?

Select the address details on the Contact Point Address. Change the reconciliation rules for the specific address attributes to Source Priority and move the Individual DMO to the bottom.

Use the default reconciliation rules for Contact Point Address.

Select the address details on the Contact Point Address. Change the reconciliation rules for the specific address attributes to Source Priority and move the Oder DMO to the top.

Change the default reconciliation rules for Individual to Source Priority.

NO.103 A client wants to bring in loyalty data from a custom object in Salesforce CRM that contains a point balance for accrued hotel points and airline points within the same record. The client wants to split these point systems into two separate records for better tracking and processing.
What should a consultant recommend in this scenario?

Clone the data source object.

Use batch transforms to create a second data lake object.

Create a junction object in Salesforce CRM and modify the ingestion strategy.

Create a data kit from the data lake object and deploy it to the same Data Cloud org.