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Free Data-Cloud-Consultant Exam Braindumps (page: 7)

Page 6 of 44
PDF with 170 Questions

Cumulus Financial uses Data Cloud to segment banking customers and activate them for direct mail via a Cloud File Storage activation. The company also wants to analyze individuals who have been in the segment within the last 2 years.
Which Data Cloud component allows for this?

  1. Segment exclusion
  2. Nested segments
  3. Segment membership data model object
  4. Calculated insights

Answer(s): C

Explanation:

Data Cloud allows customers to analyze the segment membership history of individuals using the Segment Membership data model object. This object stores information about when an individual joined or left a segment, and can be used to create reports and dashboards to track segment performance over time. Cumulus Financial can use this object to filter individuals who have been in the segment within the last 2 years and compare them with other metrics. The other options are not Data Cloud components that allow for this analysis. Segment exclusion is a feature that allows customers to remove individuals from a segment based on another segment. Nested segments are segments that are created from other segments using logical operators. Calculated insights are derived attributes that are created from existing data using formulas.


Reference:

Segment Membership Data Model Object
Data Cloud Reports and Dashboards
Create a Segment in Data Cloud



What is Data Cloud's primary value to customers?

  1. To provide a unified view of a customer and their related data
  2. To connect all systems with a golden record
  3. To create a single source of truth for all anonymous data
  4. To create personalized campaigns by listening, understanding, and acting on customer behavior

Answer(s): A

Explanation:

Data Cloud is a platform that enables you to activate all your customer data across Salesforce applications and other systems. Data Cloud allows you to create a unified profile of each customer by ingesting, transforming, and linking data from various sources, such as CRM, marketing, commerce, service, and external data providers. Data Cloud also provides insights and analytics on customer behavior, preferences, and needs, as well as tools to segment, target, and personalize customer interactions. Data Cloud's primary value to customers is to provide a unified view of a customer and their related data, which can help you deliver better customer experiences, increase loyalty, and drive growth.


Reference:

Salesforce Data Cloud, When Data Creates Competitive Advantage



During an implementation project, a consultant completed ingestion of all data streams for their customer.
Prior to segmenting and acting on that data, which additional configuration is required?

  1. Data Activation
  2. Calculated Insights
  3. Data Mapping
  4. Identity Resolution

Answer(s): D

Explanation:

After ingesting data from different sources into Data Cloud, the additional configuration that is required before segmenting and acting on that data is Identity Resolution. Identity Resolution is the process of matching and reconciling source profiles from different data sources and creating unified profiles that represent a single individual or entity. Identity Resolution enables you to create a 360- degree view of your customers and prospects, and to segment and activate them based on their attributes and behaviors. To configure Identity Resolution, you need to create and deploy a ruleset that defines the match rules and reconciliation rules for your data. The other options are incorrect because they are not required before segmenting and acting on the data. Data Activation is the process of sending data from Data Cloud to other Salesforce clouds or external destinations for marketing, sales, or service purposes. Calculated Insights are derived attributes that are computed based on the source or unified data, such as lifetime value, churn risk, or product affinity. Data Mapping is the process of mapping source attributes to unified attributes in the data model. These configurations can be done after segmenting and acting on the data, or in parallel with Identity Resolution, but they are not prerequisites for it.


Reference:

Identity Resolution Overview, Segment and Activate Data in Data Cloud, Configure Identity Resolution Rulesets, Data Activation Overview, Calculated Insights Overview, [Data Mapping Overview]



Northern Trail Outfitters (NTO) wants to connect their B2C Commerce data with Data Cloud and bring two years of transactional history into Data Cloud.
What should NTO use to achieve this?

  1. B2C Commerce Starter Bundles
  2. Direct Sales Order entity ingestion
  3. Direct Sales Product entity ingestion
  4. B2C Commerce Starter Bundles plus a custom extract

Answer(s): D

Explanation:

The B2C Commerce Starter Bundles are predefined data streams that ingest order and product data from B2C Commerce into Data Cloud. However, the starter bundles only bring in the last 90 days of data by default. To bring in two years of transactional history, NTO needs to use a custom extract from B2C Commerce that includes the historical data and configure the data stream to use the custom extract as the source. The other options are not sufficient to achieve this because:
A . B2C Commerce Starter Bundles only ingest the last 90 days of data by default. B . Direct Sales Order entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion.
C . Direct Sales Product entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion.


Reference:

Create a B2C Commerce Data Bundle - Salesforce, B2C Commerce Connector - Salesforce, Salesforce B2C Commerce Pricing Plans & Costs






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