Salesforce Certified Data 360 Consultant

Last checked November 10, 2026 against the official Salesforce exam page.

1. Question 1Data Activations and Utilization

   What does a segment in Data 360 define?

   1. AA physical copy of every data lake object, stored in a separate database for reuse
   2. BA permission set that determines which users can edit activation targets
   3. CA dashboard layout that arranges calculated insight widgets on one page for executives
   4. DA set of unified individuals who meet filter criteria such as recent purchases
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   Correct answer: D

   A segment is a set of unified individuals selected by filter criteria, such as recent purchase behaviour. It is not a copy of data lake objects, a permission set, or a dashboard layout.

2. Question 2Data Source Connection and Ingestion

   A mobile app must send product view events to Data 360 within seconds so that the next app visit can be personalized. Which ingestion approach fits this requirement best?

   1. AA nightly bulk upload of yesterday's app logs into a data lake object
   2. BA monthly export that a marketer uploads by hand from the app dashboard
   3. CA weekly calculated insight that counts product views across the app
   4. DA streaming data stream fed by the Ingestion API or an SDK-based connector
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   Correct answer: D

   Near-real-time personalization needs events to arrive continuously, and a streaming data stream fed by the Ingestion API or an SDK connector delivers that. Nightly, monthly, and weekly approaches deliver data too late, and a calculated insight does not ingest events at all.

3. Question 3Data Enhancements, Sharing, and Analysis

   A marketing director wants lifetime order value per unified individual, refreshed on a schedule and reusable in segment criteria. Which Data 360 feature fits best?

   1. AA data action that fires once for each individual order placed on the company website
   2. BA permission set that hides order fields from the marketing team
   3. CA data stream that copies the order table into a new CRM custom object
   4. DA calculated insight that aggregates unified data with a query-based definition
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   Correct answer: D

   A calculated insight aggregates unified data with a query-based definition and refreshes on a schedule, which suits lifetime value. A data action reacts to events, a data stream copies records rather than aggregating them, and a permission set controls access.

4. Question 4Harmonization and Unification

   What is the purpose of mapping a data lake object field to a data model object field?

   1. AEncrypting the field so that only the source system can read its values
   2. BRemoving duplicate values from the source before the records are stored
   3. CHarmonizing differently named source fields into one shared standard meaning
   4. DChanging the source system's own schema so future exports match the model
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   Correct answer: C

   Mapping aligns source fields such as email_addr and EmailAddress with one common data model field, so unification and activation see a consistent meaning. Encryption, deduplication, and changing the source schema are not what mapping does.

5. Question 5Solution Positioning

   A retailer wants one customer view that combines web browsing data, in-store purchases, and support cases so its marketing team can personalize offers. Which Data 360 capability fits this need best?

   1. AIngesting and harmonizing data from many sources into unified customer profiles
   2. BExporting each system's records into a shared spreadsheet every week
   3. CReplacing every source system with one new transactional database
   4. DStoring raw event logs in a file share for occasional manual review
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   Correct answer: A

   Data 360 ingests data from many sources, harmonizes it into a common model, and resolves records into unified profiles that marketing can use continuously. The spreadsheet, replacement database, and file share options do not produce a current, unified customer view.