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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Act on Data | 18% | - Troubleshooting activations - Attribute usage and management - Activation concepts and use cases - Process automation and triggering |
| Topic 2: Data Ingestion and Modeling | 20% | - Ingestion from various sources - Data validation and inspection - Transformation and mapping - Data modeling best practices |
| Topic 3: Data Cloud Setup and Administration | 12% | - Permissions and access control - Data streams and data bundles - Data spaces and configuration - Monitoring and maintenance tools |
| Topic 4: Data Cloud Overview | 18% | - Core concepts and terminology - Business value and use cases - Architecture and ecosystem |
| Topic 5: Segmentation and Insights | 18% | - Calculated vs streaming insights - Insight implementation - Segment creation and configuration - Segment membership analysis |
| Topic 6: Identity Resolution | 14% | - Unified profile creation - Matching and reconciliation rules - Conflict resolution - Identity use cases |
Salesforce Data Cloud Accredited Professional Sample Questions:
1. Northern Trail Outfitters (NTO) wants to connect their B2C Commerce data with Data Cloud and bring two years of transactional history into Data Cloud.
What should NTO use to achieve this?
A) B2C Commerce Starter Bundles
B) Direct Sales Order entity ingestion
C) Direct Sales Product entity ingestion
D) B2C Commerce Starter Bundles plus a custom extract
2. A rideshare company wants to send an email to customers that provides a year-in-review with five "fun" trip statistics, such as destination, distance traveled, etc. This raw data arrives into Data Cloud and is not aggregated at source.
The company creates a segment of customers that had at least one ride in the last 365 days.
Following best practices, which solution should the consultant recommend in Data Cloud to personalize the content of the email?
A) Include related attributes in the activation for the last 365 days.
B) Use a data transform to aggregate the statistics and map them to direct attributes on Individual to include in the activation.
C) Create five calculated insights for the activation and add dimension filters.
D) Use a data action to send each ride as an event to Marketing Cloud Engagement, then use AMP script to summarize this data in the email.
3. How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?
A) Update attribute names in the data stream configuration.
B) Update field names in the data model object.
C) Use a formula field to update the field name in an activation.
D) Set preferred attribute names when configuring activation.
4. A user Is not seeing suggested values from newly-modeled data when building a segment.
What is causing this issue?
A) Value suggestion requires Data Aware Specialist permissions at a minimum.
B) Value suggestion can only work on direct attributes and not related attributes.
C) Value suggestion will only return results for the first 50 values of a specific attribute,
D) Value suggestion is still processing and takes up to 24 hours to be available.
5. A customer creates a large segment of customers that placed orders in the last 30 days, and adds related attributes from the... to the activation. Upon checking the activation in Marketing Cloud, they notice It contains orders that are older than 30 days.
What should a consultant do to resolve this issue?
A) Use SQL in Marketing Cloud Engagement to remove orders older than 30 days.
B) Apply a data space fitter to exclude orders older than 30 days.
C) Apply a filter to Purchase Order Date to exclude orders older than 30 days.
D) use data graphs that contain only 30 days of data.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: C |



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