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Last Updated: Jul 31, 2026
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| Section | Objectives |
|---|---|
| Activation | - Describe activation use cases - Configure activations to various targets |
| Data Ingestion and Modeling | - Describe data streams and data sources - Explain data modeling concepts including Data Model Objects (DMOs) |
| Identity Resolution | - Explain the purpose and configuration of Identity Resolution - Describe matching and reconciliation rules |
| Data Cloud Setup and Administration | - Manage Data Cloud permissions and security - Configure Data Cloud settings |
| Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Data Cloud Overview | - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform - Explain the purpose and functionality of Data Cloud |
| Segmentation and Calculated Insights | - Create and manage segments - Explain calculated insights |
1. Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?
A) Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.
B) Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.
C) Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud. They do not allow activation of new records.
D) Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated.
2. A client wants to bring in loyalty data from a custom object in Salesforce CRM that contains a point balance for accrued hotel points and airline points within the same record. The client wants to split these point systems into two separate records for better tracking and processing.
What should a consultant recommend in this scenario?
A) Clone the data source object.
B) Create a data kit from the data lake object and deploy it to the same Data Cloud org.
C) Create a junction object in Salesforce CRM and modify the ingestion strategy.
D) Use batch transforms to create a second data lake object.
3. A consultant is discussing the benefits of Data Cloud with a customer that has multiple disjointed data sources.
Which two functional areas should the consultant highlight in relation to managing customer data?
Choose 2 answers
A) Unified Profiles
B) Data Harmonization
C) Data Marketplace
D) Master Data Management
4. A customer has a Master Customer table from their CRM to ingest into Data Cloud. The table contains a name and primary email address, along with other personally Identifiable information (Pll).
How should the fields be mapped to support identity resolution?
A) Create a new custom object with fields that directly match the incoming table.
B) Map all fields to the Customer object.
C) Map all fields to the Individual object, adding a custom field for the email address.
D) Map name to the Individual object and email address to the Contact Phone Email object.
5. How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?
A) Leverages match rules
B) Creates additional rulesets
C) Creates additional contact points
D) Leverages reconciliation rules
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A,B | Question # 4 Answer: D | Question # 5 Answer: D |
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