Salesforce SALESFORCE-DATA-CLOUD Online Practice Questions and Exam Preparation

Salesforce SALESFORCE-DATA-CLOUD Online Questions & Answers

• Question 21:

  A user needs permissions to access Data Cloud to create, manage, and publish segments. However, the user should not be allowed to create reports or manage data sources.

  Which permission set should an administrator assign?

  A. Customer Data Cloud for Marketing Admin
  B. Customer Data Cloud for Marketing Specialist
  C. Customer Data Cloud for Marketing Data Aware Specialist
  D. Customer Data Cloud for Marketing Manager
  B. Customer Data Cloud for Marketing Specialist

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  Explanation

  This permission set should be assigned to a user who needs permissions to access Data Cloud to create, manage, and publish segments, but not to create reports or manage data sources. This permission set allows the user to create and edit segments, calculated insights, streaming insights, and activations, but not to access data streams, data model, identity resolution, or reports.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_permission_sets.htm&type=5

• Question 22:

  What is a DMO called if it inherits the name, shape, and semantics of the reference object?

  A. Custom DMO
  B. Standard DMO
  C. Data Lake Object (DLO)
  D. Data Source Object (DSO)
  B. Standard DMO

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  Explanation

  A Data Model Object (DMO) that inherits the name, shape, and semantics of the reference object is called a Standard DMO. A reference object is a predefined object in the Data Cloud data model that represents a common entity or concept, such as Individual, Order, or Product. A Standard DMO is a copy of a reference object that you can use to ingest data from a specific source without modifying the original reference object. A Standard DMO has the same fields and relationships as the reference object, but you can add custom fields or relationships to it if needed.

  References:

  Data Model Objects

• Question 23:

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

  A. Engagement
  B. Product
  C. Party
  D. Sales Order
  D. Sales Order

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  Explanation

  The sales order subject area defines the revenue or quantity for an opportunity by product family. It also includes information about the opportunity stage, close date, and owner.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_sales_order.htm&type=

• Question 24:

  What is the result of a segmentation criteria filtering on City | Is Equal To | 'San Jos'?

  A. Cities containing 'San Jos', 'San Jose', 'san jose', or 'san jose'
  B. Cities only containing 'San Jose' or 'san jose'
  C. Cities only containing 'San Jose' or 'San Jose'
  D. Cities only containing 'San Jos' or 'san jos'
  D. Cities only containing 'San Jos' or 'san jos'

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  Explanation

  The result of a segmentation criteria filtering on City | Is Equal To | 'San Jos' is cities only containing 'San Jos' or 'san jos'. This is because the segmentation criteria is case-sensitive and accent-sensitive, meaning that it will only match the exact value that is entered in the filter 1. Therefore, cities containing 'San Jose', 'san jose', or 'San Jose' will not be included in the result, as they do not match the filter value exactly. To include cities with different variations of the name 'San Jos', you would need to use the OR operator and add multiple filter values, such as 'San Jos' OR 'San Jose' OR 'san jose' OR 'san jos' 2.

  References:

  Segmentation Criteria, Segmentation Operators

• Question 25:

  What are the two minimum requirements needed when using the Visual Insights Builder to create a Calculated Insight?

  A. WHERE clause is required
  B. At least two objects to join
  C. At least one dimension
  D. At least one measure
  C. At least one dimension
  D. At least one measure

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  Explanation

  These two requirements are needed when using the Visual Insights Builder to create a Calculated Insight. A dimension is an attribute that can be used to group or filter data, such as product category or customer segment. A measure is an attribute that can be used to perform calculations, such as revenue or quantity.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights_create.htm&type=5

• Question 26:

  Cumulus Financial offers both business and personal loans. Records in the Contact DLO can be useful for both groups since individual customers may have both business and personal loans. However, for legal reasons, the two groups must be kept separate.

  How should Cumulus Financial solve this business requirement?

  A. Duplicate the Individual DM0.
  B. Duplicate the Contact DLO.
  C. Create two identity resolution rules in the same data space.
  D. Use two data spaces.
  D. Use two data spaces.

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  Explanation

  To address the business requirement where Cumulus Financial needs to keep business and personal loan records separate for legal reasons while still leveraging the same Contact DLO, the best solution is to use two data spaces. Here's why and how this works: Understanding Data Spaces in Salesforce Data Cloud:Data spaces are logical containers within Salesforce Data Cloud that allow organizations to segment their data based on specific business needs, compliance requirements, or privacy regulations. They enable isolation of data processing and identity resolution rules while still allowing access to shared data objects like the Contact DLO. Why Two Data Spaces? By creating two data spaces (e.g., one for business loans and another for personal loans), Cumulus Financial can maintain separation between the two groups for legal compliance. Both data spaces can reference the same Contact DLO, ensuring that individual customer data is not duplicated but is accessible in both contexts. Identity resolution rules can be configured independently within each data space to ensure that the segmentation aligns with the legal requirements. Steps to Implement.

  This Solution: Step 1: Navigate to the Data Spaces section in Salesforce Data Cloud. Step 2: Create two new data spaces: one for "Business Loans" and another for "Personal Loans." Step 3: Configure the identity resolution rules separately for each data space to ensure proper segmentation. Step 4: Link the existing Contact DLO to both data spaces. This ensures that the same contact data is available in both contexts without duplication. Step 5: Set up activation rules and permissions to ensure that data from one data space cannot inadvertently mix with the other. Why Not Other Options?

  A. Duplicate the Individual DMO: This would lead to unnecessary duplication of data and increase storage costs. It also introduces complexity in maintaining consistency across duplicated records.

  B. Duplicate the Contact DLO: Similar to duplicating the DMO, this approach increases storage and maintenance overhead without solving the core issue of legal separation.

  C. Create two identity resolution rules in the same data space: While this might seem like a viable option, it does not provide the required legal separation since both groups would still exist within the same data space. By using two data spaces, Cumulus Financial achieves the necessary legal separation while maintaining efficiency and avoiding data redundancy.

• Question 27:

  Which data model object category can a Data Cloud user create segments on?

  A. Profile
  B. Unified Individual only
  C. Engagement
  D. Other
  B. Unified Individual only

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  Explanation

  According to the Data Cloud documentation, segments can only be created on the Unified Individual entity, which represents the result of Identity Resolution. The other data model object categories, such as Profile, Engagement, and Other, are not available for segmentation.

• Question 28:

  Which two objects or fields are supported for ingestion using the Salesforce CRM connector?

  A. Custom Big Objects
  B. Standard Big Objects
  C. Standard Objects
  D. Custom Objects
  C. Standard Objects
  D. Custom Objects

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  Explanation

  These two objects or fields are supported for ingestion using the Salesforce CRM connector. You can select standard or custom objects from your Salesforce CRM org and map them to Data Cloud data model objects.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_salesforce_crm.htm&type=5

• Question 29:

  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?

  A. Data Cloud for Marketing Specialist
  B. Data Cloud Admin
  C. Data Cloud User
  D. Data Cloud for Marketing Data Aware Specialist
  C. Data Cloud User

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  Explanation

  The Data Cloud User permission set is the minimum permission set needed to accommodate this use case. The Data Cloud User permission set grants access to the Data Explorer feature, which allows the user to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user can also make changes to the data model object fields, such as adding or removing fields, changing field types, or creating formula fields. The Data Cloud User permission set does not grant access to other Data Cloud features or tasks, such as creating data streams, creating segments, creating activations, or managing users. The other permission sets

  are either too restrictive or too permissive for this use case. The Data Cloud for Marketing Specialist permission set only grants access to the segmentation and activation features, but not to the Data Explorer feature. The Data Cloud Admin permission set grants access to all Data Cloud features and tasks, including the Data Explorer feature, but it is more than what the user needs. The Data Cloud for Marketing Data Aware Specialist permission set grants access to the Data Explorer feature, but also to the segmentation and activation features, which are not required for this use case.

  References:

  Data Cloud Standard Permission Sets, Data Explorer, Set Up Data Cloud Unit

• Question 30:

  A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour.

  How should the consultant configure the solution to ensure the data action is triggered at the cadence required?

  A. Set the activation schedule to hourly.
  B. Configure the data to be ingested in hourly batches.
  C. Set the journey entry schedule to run every hour.
  D. Set the insights aggregation time window to 1 hour.
  C. Set the journey entry schedule to run every hour.

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  Explanation

  QUESTION NO: 99 A consultant is helping a beauty company ingest its profile data into Data Cloud. The company's source data includes several fields, such as eye color, skin type, and hair color, that are not fields in the standard Individual data model object (DMO). What should the consultant recommend to map this data to be used for both segmentation and identity resolution?

  A. Create a custom DMO from scratch that has all fields that are needed.

  B. Create a custom DMO with only the additional fields and map it to the standard Individual DMO.

  C. Create custom fields on the standard Individual DMO.

  D. Duplicate the standard Individual DMO and add the additional fields.

  Correct Answer: C

  The best option to map the data to be used for both segmentation and identity resolution is to create custom fields on the standard Individual DMO. This way, the consultant can leverage the existing fields and functionality of the Individual DMO, such as identity resolution rulesets, calculated insights, and data actions, while adding the additional fields that are specific to the beauty company's data 1. Creating a custom DMO from scratch or duplicating the standard Individual DMO would require more effort and maintenance, and might not be compatible with the existing features of Data Cloud. Creating a custom DMO with only the additional fields and mapping it to the standard Individual DMO would create unnecessary complexity and redundancy, and might not allow the use of the custom fields for identity resolution.

  1: Data Model Objects in Data Cloud