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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Cloud Setup and Administration | 12% | - Data streams and data bundles - Monitoring and maintenance tools - Data spaces and configuration - Permissions and access control |
| Act on Data | 18% | - Process automation and triggering - Attribute usage and management - Troubleshooting activations - Activation concepts and use cases |
| Data Cloud Overview | 18% | - Business value and use cases - Architecture and ecosystem - Core concepts and terminology |
| Identity Resolution | 14% | - Matching and reconciliation rules - Unified profile creation - Conflict resolution - Identity use cases |
| Data Ingestion and Modeling | 20% | - Data validation and inspection - Transformation and mapping - Ingestion from various sources - Data modeling best practices |
| Segmentation and Insights | 18% | - Segment membership analysis - Segment creation and configuration - Insight implementation - Calculated vs streaming insights |
Salesforce Data Cloud Accredited Professional Sample Questions:
1. A user Is not seeing suggested values from newly-modeled data when building a segment.
What is causing this issue?
A) Value suggestion is still processing and takes up to 24 hours to be available.
B) Value suggestion requires Data Aware Specialist permissions at a minimum.
C) Value suggestion will only return results for the first 50 values of a specific attribute,
D) Value suggestion can only work on direct attributes and not related attributes.
2. A customer needs to integrate in real time with Salesforce CRM.
Which feature accomplishes this requirement?
A) Sales and Service bundle
B) Data actions and Lightning web components
C) Streaming transforms
D) Data model triggers
3. A consultant is working in a customer's Data Cloud org and is asked to delete the existing identity resolution ruleset.
Which two impacts should the consultant communicate as a result of this action?
Choose 2 answers
A) Dependencies on data model objects will be removed.
B) Unified customer data associated with this ruleset will be removed.
C) All individual data will be removed.
D) All source profile data will be removed
4. 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 a streaming insight with a data action.
B) Create one batch data transform that creates a new DLO.
C) Create one batch data transform per data stream.
D) Use formula fields when ingesting at the data stream level.
5. 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 only update the formula on a go-forward basis for new records.
C) Data Cloud will initiate a full refresh of data from $3 and will update the formula on all records.
D) Data Cloud will update the formula for all records at the next incremental upsert refresh.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: A,B | Question # 4 Answer: B | Question # 5 Answer: C |




