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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Cloud Setup and Administration | 12% | - Monitoring and maintenance tools - Permissions and access control - Data streams and data bundles - Data spaces and configuration |
| Data Ingestion and Modeling | 20% | - Data validation and inspection - Transformation and mapping - Data modeling best practices - Ingestion from various sources |
| Identity Resolution | 14% | - Unified profile creation - Conflict resolution - Identity use cases - Matching and reconciliation rules |
| Data Cloud Overview | 18% | - Core concepts and terminology - Architecture and ecosystem - Business value and use cases |
| Segmentation and Insights | 18% | - Insight implementation - Calculated vs streaming insights - Segment membership analysis - Segment creation and configuration |
| Act on Data | 18% | - Troubleshooting activations - Attribute usage and management - Process automation and triggering - Activation concepts and use cases |
Salesforce Data Cloud Accredited Professional Sample Questions:
1. Northern Trail Outfitters (NTO), an outdoor lifestyle clothing brand, recently started a new line of business. The new business specializes in gourmet camping food. For business reasons as well as security reasons, it's important to NTO to keep all Data Cloud data separated by brand.
Which capability best supports NTO's desire to separate its data by brand?
A) Data sources for each brand
B) Data spaces for each brand
C) Data model objects for each brand
D) Data streams for each brand
2. A consultant is reviewing a recent activation using engagement-based related attributes but is not seeing any related attributes in their payload for the majority of their segment members.
Which two areas should the consultant review to help troubleshoot this issue?
Choose 2 answers
A) The activations are referencing segments that segment on profile data rather than engagement data.
B) The related engagement events occurred within the last 90 days.
C) The activated profiles have a Unified Contact Point.
D) The correct path is selected for the related attributes.
3. A company wants to include certain personalized fields in an email by including related attributes during the activation in Data Cloud. It notices that some values, such as purchased product names, do not have consistent casing in Marketing Cloud Engagement. For example, purchased product names appear as follows: Jacket, jacket, shoes, SHOES. The company wants to normalize all names to proper case and replace any null values with a default value.
How should a consultant fulfill this requirement within Data Cloud?
A) Create one batch data transform per data stream.
B) Use formula fields when ingesting at the data stream level.
C) Create one batch data transform that creates a new DLO.
D) Create a streaming insight with a data action.
4. Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud.
In what order should each process be run to ensure that freshly imported data is ready and available to use for any segment?
A) Refresh Data Stream > Identity Resolution > Calculated Insight
B) Identity Resolution > Refresh Data Stream > Calculated Insight
C) Refresh Data Stream > Calculated Insight > Identity Resolution
D) Calculated Insight > Refresh Data Stream > Identity Resolution
5. What is the role of artificial intelligence (AI) in Data Cloud?
A) Generating email templates for use cases
B) Automating data validation
C) Creating dynamic data-driven management dashboards
D) Enhancing customer interactions through insights and predictions
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B,D | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: D |
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