Data-Con-101 Sample Questions & Answers
Free Data Cloud Consultant practice questions with worked answers and explanations. See how the ExamJungle simulator prepares you — then jump into the full test.
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- Question 1Intermediate
Segmentation and Insights · Calculated Insights
A company wants to calculate the 'Lifetime Value' (LTV) of their customers. This calculation requires aggregating transaction data over the last 5 years. Which Data Cloud feature is designed to perform this complex aggregation and make the metric available for segmentation?
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Correct answer: C
Calculated Insights allow users to define complex metrics (like sums, averages, counts) across multiple dimensions (like CustomerId) using SQL. This is the correct tool for deriving LTV from historical transaction data.
- Question 2Intermediate
Data Ingestion and Modeling · Data Mapping
True or False: In Data Cloud, a single Data Stream can populate multiple Data Model Objects (DMOs) directly without the use of a data transform.
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Correct answer: A
True. When mapping a Data Lake Object (DLO) to the data model, you can map fields from one DLO to fields in multiple different DMOs. For example, a single 'Contact' CSV might map fields to both the 'Individual' DMO and the 'Contact Point Email' DMO.
- Question 3Advanced
Act on Data · Troubleshooting
A consultant is troubleshooting a segmentation issue where recent purchases are not appearing in the target segment. The data stream is active, and the data model is mapped. Upon investigation, the consultant notices that the 'Data Transforms' used to clean the data run on a schedule that does not align with the segment publication. What is the most likely cause of the data latency?
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Correct answer: B
If a Batch Data Transform is used to populate a DMO that the segment relies on, the segment will only reflect data available after the transform job has successfully finished. If the segment publishes before the transform runs, the new data is missed.
- Question 4IntermediateSelect 2
Act on Data · Data Actions
Select TWO primary use cases for using Data Actions in Data Cloud over standard Activations. (Select TWO)
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Correct answers: A, D
Data Actions are designed to trigger flows or platform events in near real-time when specific conditions (like a Calculated Insight threshold) are met, unlike standard Activations which are batch-oriented.
Data Actions can target Salesforce Flows, allowing for operational actions (like task creation or record updates) in the CRM based on Data Cloud triggers.
- Question 5Intermediate
Data Cloud Setup and Administration · Data Spaces
A global enterprise is setting up Data Cloud. They have separate marketing teams for 'North America' and 'Europe' that must not see each other's data due to regulatory compliance. However, the IT team needs to manage the ingestion for both regions. How should the Data Cloud environment be configured to support this?
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Correct answer: C
Data Spaces allow for the logical partitioning of data within a single Data Cloud instance. By assigning data streams and segments to specific Data Spaces, you can control visibility and access for different teams, meeting the compliance requirement.
- Question 6Beginner
Data Ingestion and Modeling · Standard Data Model
Which standard Data Cloud object should be mapped to when ingesting customer phone numbers to ensure they can be used effectively in Identity Resolution match rules?
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Correct answer: B
The 'Contact Point Phone' object is the standard DMO designed to hold phone number information. Identity Resolution rules specifically look at Contact Point objects (Email, Phone, Address) to perform matching logic.
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