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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Identity Resolution | - Explain the purpose and configuration of Identity Resolution - Describe matching and reconciliation rules |
| Topic 2: Data Cloud Overview | - Explain the purpose and functionality of Data Cloud - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform |
| Topic 3: Activation | - Describe activation use cases - Configure activations to various targets |
| Topic 4: Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Topic 5: Data Ingestion and Modeling | - Explain data modeling concepts including Data Model Objects (DMOs) - Describe data streams and data sources |
| Topic 6: Segmentation and Calculated Insights | - Create and manage segments - Explain calculated insights |
| Topic 7: Data Cloud Setup and Administration | - Manage Data Cloud permissions and security - Configure Data Cloud settings |
Salesforce Data Cloud Accredited Professional Sample Questions:
A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data Cloud.
Where does a request for data deletion or right to be forgotten get submitted?
- A. through Consent API
- B. On the individual data profile in Data Cloud
- C. In Marketing Cloud settings
- D. In Data Cloud settings
Correct Answer: A 🗳️
A customer has two Data Cloud orgs. A new configuration has been completed and tested for an Amazon S3 data stream and its mappings in one of the Data Cloud orgs.
What is recommended to package and promote this configuration to the customer's second org?
- A. Create a data kit.
- B. Use the Metadata API.
- C. Package as an AppExchange application.
- D. Use the Salesforce CRM connector.
Correct Answer: A 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
Cumulus Financial is currently using Data Cloud and ingesting transactional data from its backend system via an S3 Connector in upsert mode. During the initial setup six months ago, the company created a formula field in Data Cloud to create a custom classification. It now needs to update this formula to account for more classifications.
What should the consultant keep in mind with regard to formula field updates when using the S3 Connector?
- A. Data Cloud does not support formula field updates for data streams of type upsert.
- B. Data Cloud will update the formula for all records at the next incremental upsert refresh.
- C. Data Cloud will initiate a full refresh of data from $3 and will update the formula on all records.
- D. Data Cloud will only update the formula on a go-forward basis for new records.
Correct Answer: C 🗳️
A user Is not seeing suggested values from newly-modeled data when building a segment.
What is causing this issue?
- A. Value suggestion will only return results for the first 50 values of a specific attribute,
- B. Value suggestion can only work on direct attributes and not related attributes.
- C. Value suggestion requires Data Aware Specialist permissions at a minimum.
- D. Value suggestion is still processing and takes up to 24 hours to be available.
Correct Answer: D 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
A Data Cloud consultant recently added a new data source and mapped some of the data to a new custom data model object (DMO) that they want to use for creating segments. However, they cannot view the newly created DMO when trying to create a new segment.
What is the cause of this issue?
- A. The new DMO is not of category Profile.
- B. Data has not yes been ingested into the DMO.
- C. The new DMO does not have a relationship to the individual DMO
- D. Segmentation is only supported for the Individual and Unified Individual DMOs.
Correct Answer: A 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
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