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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Activation | - Configure activations to various targets - Describe activation use cases |
| Topic 2: Data Cloud Setup and Administration | - Configure Data Cloud settings - Manage Data Cloud permissions and security |
| Topic 3: Data Ingestion and Modeling | - Explain data modeling concepts including Data Model Objects (DMOs) - Describe data streams and data sources |
| Topic 4: Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Topic 5: Identity Resolution | - Explain the purpose and configuration of Identity Resolution - Describe matching and reconciliation rules |
| Topic 6: Data Cloud Overview | - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform - Explain the purpose and functionality of Data Cloud |
| Topic 7: Segmentation and Calculated Insights | - Explain calculated insights - Create and manage segments |
Salesforce Data Cloud Accredited Professional Sample Questions:
1. Northern Trail Outfitters uses B2C Commerce and is exploring implementing Data Cloud to get a unified view of its customers and all their order transactions.
What should the consultant keep in mind with regard to historical data ingesting order data using the B2C Commerce Order Bundle?
A) The B2C Commerce Order Bundle does not ingest any historical data and only ingests new orders from that point on.
B) The B2C Commerce Order Bundle ingests 12 months of historical data.
C) The B2C Commerce Order Bundle ingests 6 months of historical data.
D) The B2C Commerce Order Bundle ingests 30 days of historical data.
2. 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) Map all fields to the Individual object, adding a custom field for the email address.
B) Map name to the Individual object and email address to the Contact Phone Email object.
C) Map all fields to the Customer object.
D) Create a new custom object with fields that directly match the incoming table.
3. A financial services firm specializing in wealth management contacts a Data Cloud consultant with an identity resolution request. The company wants to enhance its strategy to better manage individual client profiles within family portfolios.
Family members often share addresses and sometimes phone numbers but have distinct investment preferences and financial goals. The firm aims to avoid blending individual family profiles into a single entity to maintain personalized service and accurate financial advice.
Which identity resolution strategy should the consultant put in place?
A) Use a more restrictive design approach to ensure the match rules perform as desired.
B) Use multiple contact points without individual attributes in the match rules.
C) Configure a single match rule based on a custom identifier.
D) Configure a single match rule with a single connected contact point based on address.
4. A consultant is troubleshooting a segment error.
Which error message is solved by using calculated insights Instead of nested segments?
A) Segment is too complex.
B) Segment can't be published.
C) Multiple population counts are in progress.
D) Segment population count failed.
5. Northern Trail Outfitters wants to create a segment with customers that have purchased in the last 24 hours.
The segment data must be as up to date as possible.
What should the consultant Implement when creating the segment?
A) Use Einstein segmentation optimization to collect data from the last 24 hours.
B) Use streaming insights for near real-time segmentation results.
C) Use rapid segments with a publish interval of 1 hour.
D) Use standard segment with a publish interval of 30 minutes.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: B |

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