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Salesforce Data-Cloud-Consultant Sample Questions

Question # 1

An organization is just getting started with Data 360 and wants to demonstrate quick wins in order to build momentum for broader adoption. Which business outcome should the organization prioritize?

A. Consolidating all partner and supply chain data into a single master management hub
B. Implementing a global data lineage system to calculate data quality scores and create audit reports for compliance teams across all business units
C. Building a predictive platform to update dynamic segments every 30 seconds
D. Improving customer service resolution times by giving support agents a 360-degree view

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Question # 2

What is a Data 360 use case for improving the patient experience in the Healthcare and Life Sciences sector? 

A. Activating a Unified Health Score to provide a holistic view of patient wellness and engagement
B. Managing the payroll of visiting physicians via a custom mobile app
C. Using data to predict the best location for which hospital the patient should visit
D. Automating the retail checkout process in hospital gift shops

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Question # 3

A Data 360 Consultant has been asked to help a customer implement Data 360 to improve their customer experience. They have identified four potential use cases. Which scenario represents the most appropriate initial use case based on Salesforce implementation best practices?

A. Implementing a complex, sub-second web personalization engine using 15 disparate third-party data streams with varying schemas
B. Moving 20 years of legacy transaction data into Data 360 to reduce storage costs in their primary CRM org
C. Redefining the global identity resolution rules for 1 billion records across 12 global regions simultaneously without a specific departmental pilot
D. Consolidating three systems (Sales, Service, and Marketing Cloud) to provide a " Single View of the Customer " for high-tier support agents

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Question # 4

A Data 360 Consultant is preparing to implement Data 360. Which ethic should the consultant adhere to regarding customer data?

A. Carefully consider asking for sensitive data such as age, gender, and ethnicity.
B. Give senior leaders in the firm access to customer data for audit purposes.
C. Collect and use all of the data to create more personalized experiences.
D. Map sensitive data to the same data model object for ease of deletion.

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Question # 5

What is the primary functionality of Data 360? 

A. To help users build a heat map using their data
B. To automatically generate sales forecasts based on historical email patterns
C. To unify and harmonize data from multiple sources to create a complete customer profile
D. To create a master data management (MDM) strategy

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Question # 6

Northern Trail Outfitters (NTO) is struggling with fragmented customer data across marketing, sales, and service systems. NTO decides to implement Data 360 to improve its customer strategy. How does Data 360 primarily help NTO solve this business challenge?

A. It archives historical transaction records for 10 years to meet regulatory data retention requirements.
B. It creates automated weekly business intelligence dashboards to help managers forecast sales revenue.
C. It unifies data into a single profile to provide personalized experiences across all touch points.
D. It provides a data security layer that encrypts sensitive information to ensure global GDPR compliance.

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Question # 7

A luxury travel company wants to optimize its high-value customer retention strategy. The marketing team requires a predictive insight that estimates the total dollar amount a unified profile is likely to spend on bookings over the next 12 months. This prediction will be used to prioritize concierge service assignments. Which native model type should a Data 360 Consultant select in Einstein Studio to predict this outcome?

A. Foundational model
B. Regression model
C. Binary model
D. Multiclass model

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Question # 8

A user wants to be able to create a multi- dimensional metric to identify unified individual lifetime value (LTV). Which sequence of data model object (DMO) joins is necessary within the calculated insight to enable this calculation?

A. Sales Order > Unified Individual
B. Unified Individual > Individual > Sales Order
C. Sales Order > Individual > Unified Individual
D. Unified Individual > Unified Link Individual > Sales Order

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Question # 9

Northern Trail Outfitters (NTO) has a machine learning (ML) model trained externally in Amazon SageMaker to predict customer churn, and wants to use that model ' s inference inside Data 360 without duplicating data. What should NTO do to achieve this?

A. Use built-in Data 360 Calculated Insights.
B. Consume the predictions from the external platform as a data lake object (DLO).
C. Connect the trained model in Data 360 in Bring Your Own Model (BYOM).
D. Use an out-of-the-box Einstein Studio customer churn predictive model.

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Question # 10

A lead architect needs to build a real-time Customer Health Dashboard in a custom web portal that displays a unified customer ' s recent purchase history (Engagement data) and their calculated loyalty score. Which API strategy is most appropriate to meet this requirement?

A. Use the Metadata API to retrieve the schema of the unified profile, then use a standard REST GET call on the Individual object.
B. Use the Query API to send an SQL/SOQL-based request to join data to retrieve a comprehensive view. 
C. Use the Profile API because it is optimized for high-speed retrieval of unified profile attributes and calculated insights.
D. Use the Ingestion API to push the dashboard requirements into a data stream to trigger a webhook.

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Question # 11

Northern Trail Outfitters wants to compute recency, frequency, monetary (RFM) scores on its unified individuals in order to use it in Marketing Cloud Engagement. What is the best way to achieve this goal?

A. Include the Calculated Insight attribute in activation.
B. Use copy fields to show the calculated insight.
C. Add the score to a related list.
D. Import the score to Marketing Cloud via SFTP.

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Question # 12

When preparing to build a predictive AI model in Einstein Studio using Data 360 data, which step is essential to ensure the model produces ethical and unbiased results?

A. Disabling all calculated insights before starting the training process
B. Ensuring the training dataset contains at least 10 million records
C. Auditing training data to identify which segments of the customer base are underrepresented
D. Using only unstructured data to prevent pattern recognition

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Question # 13

A marketer needs to segment customers based on their Lifetime Loyalty Points. This requires summing all point-based transactions from a historical ledger brought in from their data lake along with a Commerce Cloud data stream. Which tool should the marketer use?

A. Streaming Transform
B. Calculated Insight
C. Batch Transform
D. Secondary Index

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Question # 14

A Data 360 Consultant needs to build a model on Einstein Studio to predict the time- to- close of an opportunity brought into Data 360 from CRM. Based on the supported model types, which statement is true?

A. The consultant should use a Multiclass Classification model to bucket the time-to-close into specifications.
B. The consultant should use a Binary Classification model to determine if the time-to-close is long or short.
C. The consultant should use a Multiclass Classification model because the outcome is represented as text data.
D. The consultant should use a Regression model because the target outcome is a numeric measure.

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Question # 15

A global beverage company (data provider) and a sports media network (data consumer) are collaborating in a Data 360 clean room to identify high- value partnership opportunities. The parties decide to use the segment overlap use case template to determine how many of the beverage company ' s Premium Loyalty Members are also active subscribers of the sports network, without exposing raw personally identifiable information (PII). When configuring the segment overlap template, which requirement must be met to allow the results to be filtered by specific demographics like " Region " or " Age Group " in the final output?

A. The Region and Age Group fields must be set as foreign keys in the data model objects (DMOs) of both organizations.
B. Both parties must map their " Region " and " Age Group " data to a shared calculated insight before joining the clean room.
C. The Data 360 Consultant must configure a many-to-many relationship between the two search index data model objects (DMOs).
D. The data provider must include these additional fields as segmentation attributes within the use case template configuration.

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Salesforce Data-Cloud-Consultant Reviews