Salesforce Certified Data 360 Consultant - Certified Data 360 Consultant Exam
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Total 65 questions
Question #1 (Topic: Exam A)
A user has built a segment in Data 360 and is in the process of creating an activation. When selecting related attributes, they cannot find a specific set of attributes they know to be related to the individual.
Which statement explains why these attributes are not available?
Which statement explains why these attributes are not available?
A. The segment is not segmenting on profile data.
B. The attributes are being used in another activation.
C. Activations can only include 1-to-1 attributes.
D. The desired attributes reside on different related paths.
Answer: D
Question #2 (Topic: Exam A)
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?
Which Salesforce Data 360 feature should the company implement first to solve this problem?
A. Automating proactive service actions using IoT and predictive analytics
B. Unifying fragmented customer and business data into a single, comprehensive view
C. Creating real-time AI-driven recommendations for customer engagement
D. Delivering personalized offers across channels based on advanced segmentation
Answer: B
Question #3 (Topic: Exam A)
What does the Source Sequence reconciliation rule do in Identity Resolution?
A. Sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name
B. Includes data from sources where the data is most frequently occurring
C. Identifies which individual records should be merged into a unified profile by setting a priority for specific data sources
D. Identifies which data sources should be used in the process of reconciliation by prioritizing the most recently updated data source
Answer: A
Question #4 (Topic: Exam A)
A data architect is modeling a relationship between a custom Vehicle data model object (DMO) and the standard Individual DMO to track car ownership. The requirement states that one vehicle can be owned by only one individual, but one individual can own multiple vehicles.
Which cardinality should the architect select when creating this relationship from Vehicle to Individual?
Which cardinality should the architect select when creating this relationship from Vehicle to Individual?
A. Many-to-One (N:1)
B. Many-to-Many (N:N)
C. One-to-One (1:1)
D. One-to-Many (1:N)
Answer: A
Question #5 (Topic: Exam A)
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?
What should NTO do to achieve this?
A. Consume the predictions from the external platform as a data lake object (DLO).
B. Connect the trained model in Data 360 in Bring Your Own Model (BYOM).
C. Use an out-of-the-box Einstein Studio customer churn predictive model.
D. Use built-in Data 360 Calculated Insights.
Answer: B
