Salesforce Certified Data 360 Consultant (Data-Con-101)
Last Update Jun 3, 2026
Total Questions : 95
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A Data 360 Consultant created a calculated insight that can be seen when ' Segmenting On ' Individuals on the segmentation canvas but not Unified Individual. What is the reason for this?
A retail company has customer data scattered across CRM, ecommerce, and support platforms. Marketing and support teams struggle to get a complete picture of the customer because data is inconsistent and siloed. Which Salesforce Data 360 feature should the company implement first to solve this problem?
A Data 360 Consultant is building a marketing- to- sales handoff process that requires sales reps to see a chronological list of a prospect ' s Web Page Views and Email Clicks directly on the Lead record. These interactions are stored as Engagement data in Data 360. What is the most efficient way to display this?
An organization wants to give users the ability to identify and select text attributes from a picklist of options. Which Data 360 feature should help with this use case?
A Data 360 Consultant is setting up a zero- copy data federation connection with a partner, Snowflake. What is the first step the consultant must perform in Data 360?
A Data 360 Consultant is explaining the behavior of Data 360 sandboxes to project stakeholders. The stakeholders want to know what happens to the data in a Data 360 sandbox during a standard version.
Data 360 receives a nightly file of all ecommerce transactions from the previous day. Several segments and activations depend upon calculated insights from the updated data in order to maintain accuracy in the customer ' s scheduled campaign messages. What should the Data 360 Consultant do to ensure the ecommerce data is ready for use for each of the scheduled activations?
A data architect has deployed an inbound change set containing a data kit into a new Salesforce Production org. Although the deployment status shows " Succeeded " , the architect notices that the specific data stream configurations and calculated insights included in the kit are not yet active or visible in the Data 360 functional tabs. What is the next required action the architect must perform to fully implement the configurations within the data kit?
After a predictive model is activated in Data 360, where are the resulting scores or predictions typically stored for use in segmentation?
What is a Data 360 use case for improving the patient experience in the Healthcare and Life Sciences sector?
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 customer has a custom Customer_Email_c object related to the standard Contact object in Salesforce CRM. This custom object stores the email address for a Contact that they want to use for activation. To which data model object should the customer map the email object to?
A Data 360 Consultant needs to unify records from a legacy billing system and a CRM. Both systems use different internal IDs, but both store a common Customer_Tax_ID. How should the consultant ensure these records can be matched in an identity resolution ruleset?
Cumulus Financial created a segment called High Investment Balance Customers. This is a foundational segment that includes several segmentation criteria the marketing team should consistently use. What should the Data 360 Consultant recommend to ensure this consistency when the team creates future, more refined segments?
A developer at Cloud Kicks is integrating customer data from a legacy shoe-inventory system and a web-store platform into Data 360. They need a way to ensure the Customer Name field from both systems is recognized as the same attribute. Which component should the developer use to provide this standardized structure?
A customer service manager wants to implement generative AI in Salesforce to help agents answer customer inquiries. They are concerned that the AI might give generic or inaccurate responses if it doesn ' t have access to the company ' s internal knowledge and data. Which Salesforce Data 360 feature should help ensure the AI provides accurate, contextually relevant answers by using internal data?
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?
An analyst needs to verify the data populated in a newly mapped data model object (DMO). They open the Query Editor within the Data 360 interface to perform a quick check of the records. What is the programming language the analyst must use to retrieve and view records from the DMO within this tool?
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 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 data science team has developed a custom propensity- to- churn model in Amazon SageMaker. The company wants to use this model to score its Unified Profiles in Data 360 and use those scores for a high- priority retention segment. The Data 360 Consultant needs to ensure the data is not duplicated or moved out of Data 360 during this process. Which feature should the consultant use to integrate this model?
Northern Trail Outfitters uploads new customer data to an Amazon S3 bucket on a daily basis to be ingested in Data 360. Based on this, a calculated insight is created that shows the total spend per customer in the last 30 days. In which sequence should each process be run to ensure that freshly imported data is ready and available to use for any segment?
A Data 360 Consultant creates a segment of customers who placed orders in the last 30 days and includes related attributes from the Sales Order data model object (DMO) in the activation. After activating the segment to Marketing Cloud, the customer notices that some orders older than 30 days are included. What should the consultant do to resolve this issue?
A Data 360 Consultant wants to perform aggregations in 15-minute windows on data collected via the Interactions SDK or Mobile SDK. Which method should the consultant use?
TESTED 03 Jun 2026
