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Salesforce Data-Cloud-Consultant Exam Sample Questions

Question # 1

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?

A. User preferences for marketing outreach

B. Geographical divisions

C. Marketing Cloud Journeys

D. Business units

Answer

A. User preferences for marketing outreach

Explanation: 

Segment Population vs. Data Extension Count: Minimizing the difference between Data Cloud segment populations and Marketing Cloud data extensions ensures accurate segment sizes for campaign planning. 

Filtering by User Preferences: By filtering segments based on user preferences for marketing outreach, you ensure that only those contacts who have opted in or are eligible for marketing campaigns are included. This aligns the segment population in Data Cloud with the counts in Marketing Cloud. 

Process: 

Define Preferences: Ensure that user preferences for marketing outreach are clearly defined and captured in the system. Filter Segments: Use these preferences to filter segments in Data Cloud, ensuring only the relevant contacts are included. 

Benefits: Accuracy: Increases the accuracy of segment sizes by including only those who have opted in for marketing. 

Compliance: Helps in complying with regulatory requirements for marketing communications. 

References: Salesforce Data Cloud Segmentation Marketing Cloud Data Extensions

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Question # 2

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.

Answer

D. Place the attributes for product color and product type in a single container.

Explanation:
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:
Create a Segment in Data Cloud Learn About Segmentation Tools Salesforce Launches: Data Cloud Consultant Certification

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Question # 3

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?

A. B2C Commerce Starter Bundles

B. Direct Sales Order entity ingestion

C. Direct Sales Product entity ingestion

D. B2C Commerce Starter Bundles plus a custom extract

Answer

D. B2C Commerce Starter Bundles plus a custom extract

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.

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

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Question # 4

A consultant is ingesting a list of employees from their human resources database that they want to segment on. Which data stream category should the consultant choose when ingesting this data?

A. Profile Data

B. Contact Data

C. Other Data

D. Engagement Data

Answer

C. Other Data

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Question # 5

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

A. Data Harmonization

B. Unified Profiles

C. Master Data Management

D. Data Marketplace

Answer

A. Data Harmonization
B. Unified Profiles

Explanation: Data Cloud is an open and extensible data platform that enables smarter, more efficient AI with secure access to first-party and industry data1. 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 data1. 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.

 

References: 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]

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