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Salesforce Certified Data Cloud Consultant Exam Questions
Salesforce Certified Data Cloud Consultant (Page 14 )

Updated On: 16-Feb-2026
Page 7 of 35
PDF with 170 Questions

Which two steps should a consultant take if a successfully configured Amazon S3 data stream fails to refresh with a "NO FILE FOUND" error message? Choose 2 answers

  1. Check if correct permissions are configured for the Data Cloud user.
  2. Check if the Amazon S3 data source is enabled in Data Cloud Setup.
  3. Check If the file exists in the specified bucket location.
  4. Check if correct permissions are configured for the S3 user.

Answer(s): A,C

Explanation:

A "NO FILE FOUND" error message indicates that Data Cloud cannot access or locate the file from the Amazon S3 source. There are two possible reasons for this error and two corresponding steps that a consultant should take to troubleshoot it:
The Data Cloud user does not have the correct permissions to read the file from the Amazon S3 bucket. This could happen if the user's permission set or profile does not include the Data Cloud Data Stream Read permission, or if the user's Amazon S3 credentials are invalid or expired. To fix this issue, the consultant should check and update the user's permissions and credentials in Data Cloud and Amazon S3, respectively.
The file does not exist in the specified bucket location. This could happen if the file name or path has changed, or if the file has been deleted or moved from the Amazon S3 bucket. To fix this issue, the consultant should check and verify the file name and path in the Amazon S3 bucket, and update the data stream configuration in Data Cloud accordingly.


Reference:

Create Amazon S3 Data Stream in Data Cloud, How to Use the Amazon S3 Storage Connector in Data Cloud, Amazon S3 Connection



A consultant is discussing the benefits of Data Cloud with a customer that has multiple disjointed data sources.
Which two functional areas should the consultant highlight in relation to managing customer data? Choose 2 answers

  1. Data Harmonization
  2. Unified Profiles
  3. Master Data Management
  4. Data Marketplace

Answer(s): A,B

Explanation:

Data Cloud is an open and extensible data platform that enables smarter, more efficient AI with secure access to first-party and industry data. Two functional areas that the consultant should highlight in relation to managing customer data are:
Data Harmonization: Data Cloud harmonizes data from multiple sources and formats into a common schema, enabling a single source of truth for customer data. Data Cloud also applies data quality rules and transformations to ensure data accuracy and consistency. Unified Profiles: Data Cloud creates unified profiles of customers and prospects by linking data across different identifiers, such as email, phone, cookie, and device ID1. Unified profiles provide a holistic view of customer behavior, preferences, and interactions across channels and touchpoints. The other options are not correct because:
Master Data Management: Master Data Management (MDM) is a process of creating and maintaining a single, consistent, and trusted source of master data, such as product, customer, supplier, or location data. Data Cloud does not provide MDM functionality, but it can integrate with MDM solutions to enrich customer data.
Data Marketplace: Data Marketplace is a feature of Data Cloud that allows users to discover, access, and activate data from third-party providers, such as demographic, behavioral, and intent data. Data

Marketplace is not a functional area related to managing customer data, but rather a source of external data that can enhance customer data.


Reference:

Salesforce Data Cloud
[Data Harmonization for Data Cloud]
[Unified Profiles for Data Cloud]
[What is Master Data Management?]
[Integrate Data Cloud with Master Data Management]
[Data Marketplace for Data Cloud]



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?

  1. Party Identification object
  2. Loyalty Identification object
  3. Individual object
  4. Contact Identification object

Answer(s): A

Explanation:

The Party Identification object is the correct object to use in identity resolution to perform exact match rules on the Loyalty ID. The Party Identification object is a child object of the Individual object that stores different types of identifiers for an individual, such as email, phone, loyalty ID, social media handle, etc. Each identifier has a type, a value, and a source. The consultant can use the Party Identification object to create a match rule that compares the Loyalty ID type and value across different sources and links the corresponding individuals. The other options are not correct objects to use in identity resolution to perform exact match rules on the Loyalty ID. The Loyalty Identification object does not exist in Data Cloud. The Individual object is the parent object that represents a unified profile of an individual, but it does not store the Loyalty ID directly. The Contact Identification object is a child object of the Contact object that stores identifiers for a contact, such as email, phone, etc., but it does not store the Loyalty ID.


Reference:

Data Modeling Requirements for Identity Resolution
Identity Resolution in a Data Space
Configure Identity Resolution Rulesets
Map Required Objects
Data and Identity in Data Cloud



Which data model subject area defines the revenue or quantity for an opportunity by product family?

  1. Engagement
  2. Product
  3. Party
  4. Sales Order

Answer(s): D

Explanation:

The Sales Order subject area defines the details of an order placed by a customer for one or more products or services. It includes information such as the order date, status, amount, quantity, currency, payment method, and delivery method. The Sales Order subject area also allows you to track the revenue or quantity for an opportunity by product family, which is a grouping of products that share common characteristics or features. For example, you can use the Sales Order Line Item DMO to associate each product in an order with its product family, and then use the Sales Order Revenue DMO to calculate the total revenue or quantity for each product family in an opportunity.


Reference:

Sales Order Subject Area, Sales Order Revenue DMO Reference



Which configuration supports separate Amazon S3 buckets for data ingestion and activation?

  1. Dedicated S3 data sources in Data Cloud setup
  2. Multiple S3 connectors in Data Cloud setup
  3. Dedicated S3 data sources in activation setup
  4. Separate user credentials for data stream and activation target

Answer(s): A

Explanation:

To support separate Amazon S3 buckets for data ingestion and activation, you need to configure dedicated S3 data sources in Data Cloud setup. Data sources are used to identify the origin and type of the data that you ingest into Data Cloud. You can create different data sources for each S3 bucket that you want to use for ingestion or activation, and specify the bucket name, region, and access credentials. This way, you can separate and organize your data by different criteria, such as brand, region, product, or business unit. The other options are incorrect because they do not support separate S3 buckets for data ingestion and activation. Multiple S3 connectors are not a valid configuration in Data Cloud setup, as there is only one S3 connector available. Dedicated S3 data sources in activation setup are not a valid configuration either, as activation setup does not require data sources, but activation targets. Separate user credentials for data stream and activation target are not sufficient to support separate S3 buckets, as you also need to specify the bucket name and region for each data source.


Reference:

Data Sources Overview, Amazon S3 Storage Connector, Data Spaces Overview, Data Streams Overview, Data Activation Overview






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