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

Salesforce DATA-CLOUD-CONSULTANT Online Questions & Answers

• Question 91:

  Which data model subject area should be used for any Organization, Individual, or Member in the Customer 360 data model?

  A. Engagement
  B. Membership
  C. Party
  D. Global Account
  C. Party

  ---

  The data model subject area that should be used for any Organization, Individual, or Member in the Customer 360 data model is the Party subject area. The Party subject area defines the entities that are involved in any business transaction or relationship, such as customers, prospects, partners, suppliers, etc. The Party subject area contains the following data model objects (DMOs): Organization: A DMO that represents a legal entity or a business unit, such as a company, a department, a branch, etc. Individual: A DMO that represents a person, such as a customer, a contact, a user, etc. Member: A DMO that represents the relationship between an individual and an organization, such as an employee, a customer, a partner, etc. The other options are not data model subject areas that should be used for any Organization, Individual, or Member in the Customer 360 data model. The Engagement subject area defines the actions that people take, such as clicks, views, purchases, etc. The Membership subject area defines the associations that people have with groups, such as loyalty programs, clubs, communities, etc. The Global Account subject area defines the hierarchical relationships between organizations, such as parent-child, subsidiary, etc. References: Data Model Subject Areas Party Subject Area Customer 360 Data Model

• Question 92:

  Cumulus Financial (CF) wants to target loyal and engaged customers. When a platinum tier customer visits their Investment pages more than three times in a 24-hour period, CF wants to Immediately Send an email that offers a private consultation. What should a consultant recommend for this business requirement?

  A. Calculated insight with a data action to a Marketing Cloud Engagement transactional email
  B. Rapid segment to a data action journey in Marketing Cloud Engagement
  C. Standard segment with activation into Marketing Cloud Engagement
  D. Streaming insight with a data action into a journey in Marketing Cloud Engagement
  D. Streaming insight with a data action into a journey in Marketing Cloud Engagement

• Question 93:

  Which two common use cases can be addressed with Data Cloud?

  Choose 2 answers

  A. Understand and act upon customer data to drive more relevant experiences.
  B. Govern enterprise data lifecycle through a centralized set of policies and processes.
  C. Harmonize data from multiple sources with a standardized and extendable data model.
  D. Safeguard critical business data by serving as a centralized system for backup and disaster recovery.
  A. Understand and act upon customer data to drive more relevant experiences.
  C. Harmonize data from multiple sources with a standardized and extendable data model.

  ---

  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 common use cases that can be addressed with Data Cloud are: Understand and act upon customer data to drive more relevant experiences. Data Cloud can help customers gain a 360-degree view of their customers by unifying data from different sources and resolving identities across channels. Data Cloud can also help customers segment their audiences, create personalized experiences, and activate data in any channel using insights and AI. Harmonize data from multiple sources with a standardized and extendable data model. Data Cloud can help customers transform and cleanse their data before using it, and map it to a common data model that can be extended and customized. Data Cloud can also help customers create calculated insights and related attributes to enrich their data and optimize identity resolution. The other two options are not common use cases for Data Cloud. Data Cloud does not provide data governance or backup and disaster recovery features, as these are typically handled by other Salesforce or external solutions. References: 1. Learn How Data Cloud Works 2. About Salesforce Data Cloud 3. Discover Use Cases for the Platform 4. Understand Common Data Analysis Use Cases

• Question 94:

  What is a reason to create a formula when ingesting a data stream?

  A. To concatenate files so they are ingested in the correct sequence
  B. To add a unique external identifier to an existing ruleset
  C. To transform is date time field into a dale field for use in data mapping
  D. To remove duplicate rows of data from the data stream
  C. To transform is date time field into a dale field for use in data mapping

• Question 95:

  Northern Trail Outfitters wants to create a segment with customers that have purchased in the last 24 hours. The segment data must be as up to date as possible. What should the consultant Implement when creating the segment?

  A. Use streaming insights for near real-time segmentation results.
  B. Use Einstein segmentation optimization to collect data from the last 24 hours.
  C. Use rapid segments with a publish interval of 1 hour.
  D. Use standard segment with a publish interval of 30 minutes.
  A. Use streaming insights for near real-time segmentation results.

• Question 96:

  A consultant is setting up Data Cloud for a multi-brand organization and is using data spaces to segregate its data for various brands.

  While starting the mapping of a data stream, the consultant notices that they cannot map the object for one of the brands.

  What should the consultant do to make the object available for a new data space?

  A. Create a new data stream and map the second data stream to the data space.
  B. Copy data from the default data space to a new DMO using the Data Copy feature and link this DMO to the new data space.
  C. Create a batch transform to split data between different data spaces.
  D. Navigate to the Data Space tab and select the object to be included in the new data space.
  D. Navigate to the Data Space tab and select the object to be included in the new data space.

  ---

  Explanation

• Question 97:

  What does the Ignore Empty Value option do in identity resolution?

  A. Ignores empty fields when running any custom match rules
  B. Ignores empty fields when running reconciliation rules
  C. Ignores Individual object records with empty fields when running identity resolution rules
  D. Ignores empty fields when running the standard match rules
  B. Ignores empty fields when running reconciliation rules

  ---

  The Ignore Empty Value option in identity resolution allows customers to ignore empty fields when running reconciliation rules. Reconciliation rules are used to determine the final value of an attribute for a unified individual profile, based on the values from different sources. The Ignore Empty Value option can be set to true or false for each attribute in a reconciliation rule. If set to true, the reconciliation rule will skip any source that has an empty value for that attribute and move on to the next source in the priority order. If set to false, the reconciliation rule will consider any source that has an empty value for that attribute as a valid source and use it to populate the attribute value for the unified individual profile. The other options are not correct descriptions of what the Ignore Empty Value option does in identity resolution. The Ignore Empty Value option does not affect the custom match rules or the standard match rules, which are used to identify and link individuals across different sources based on their attributes. The Ignore Empty Value option also does not ignore individual object records with empty fields when running identity resolution rules, as identity resolution rules operate on the attribute level, not the record level. References: 1. Data Cloud Identity Resolution Reconciliation Rule Input 2. Configure Identity Resolution Rulesets 3. Data and Identity in Data Cloud

• Question 98:

  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

  ---

  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. References: Sales Order Subject Area, Sales Order Revenue DMO Reference

• Question 99:

  A customer has a Master Customer table from their CRM to ingest into Data Cloud. The table contains a name and primary email address, along with other personally Identifiable information (Pll).

  How should the fields be mapped to support identity resolution?

  A. Create a new custom object with fields that directly match the incoming table.
  B. Map all fields to the Customer object.
  C. Map name to the Individual object and email address to the Contact Phone Email object.
  D. Map all fields to the Individual object, adding a custom field for the email address.
  C. Map name to the Individual object and email address to the Contact Phone Email object.

  ---

  To support identity resolution in Data Cloud, the fields from the Master Customer table should be mapped to the standard data model objects that are designed for this purpose. The Individual object is used to store the name and other personally identifiable information (PII) of a customer, while the Contact Phone Email object is used to store the primary email address and other contact information of a customer. These objects are linked by a relationship field that indicates the contact information belongs to the individual. By mapping the fields to these objects, Data Cloud can use the identity resolution rules to match and reconcile the profiles from different sources based on the name and email address fields. The other options are not recommended because they either create a new custom object that is not part of the standard data model, or map all fields to the Customer object that is not intended for identity resolution, or map all fields to the Individual object that does not have a standard email address field. References: Data Modeling Requirements for Identity Resolution, Create Unified Individual Profiles

• Question 100:

  A consultant is building a segment to announce a new product launch for customers that have previously purchased black pants.

  How should the consultant place attributes for product color and product type from the Order Product object to meet this criteria?

  A. Place the attribute for product color in one container and the attribute for product type in another container.
  B. Place an attribute for the "black" calculated insight to dynamically apply
  C. Place the attributes for product and product type as direct attributes.
  D. Place the attributes for product color and product type in a single container.
  D. Place the attributes for product color and product type in a single container.

  ---

  To create a segment based on the product color and product type from the Order Product object, the consultant should place the attributes for product color and product type in a single container. This way, the segment will include only the customers who have purchased black pants, and not those who have purchased black shirts or blue pants. A container is a grouping of attributes that defines a segment of individuals based on a logical AND operation. Placing the attributes in separate containers would result in a segment that includes customers who have purchased any black product or any pants product, which is not the desired criteria. Placing an attribute for the "black" calculated insight would not work, because calculated insights are based on aggregated data and not individual-level data. Placing the attributes as direct attributes would not work, because direct attributes are used to filter individuals based on their profile data, not their order data. References: 1. Create a Segment in Data Cloud 2. Learn About Segmentation Tools 3. Salesforce Launches: Data Cloud Consultant Certification