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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Topic 2: Identity Resolution | - Explain the purpose and configuration of Identity Resolution - Describe matching and reconciliation rules |
| Topic 3: Activation | - Configure activations to various targets - Describe activation use cases |
| Topic 4: 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 5: Data Cloud Setup and Administration | - Configure Data Cloud settings - Manage Data Cloud permissions and security |
| Topic 6: Segmentation and Calculated Insights | - Create and manage segments - Explain calculated insights |
| Topic 7: Data Ingestion and Modeling | - Explain data modeling concepts including Data Model Objects (DMOs) - Describe data streams and data sources |
Salesforce Data Cloud Accredited Professional Sample Questions:
1. Cumulus Financial segregates its sales CRM data based on Region for its Data Cloud users. Multiple data spaces are configured: a default space and two additional spaces tailored for EMEA and APAC regions.
EME A sales reps who need temporary access to visualize data for both regions say that they cannot visualize APAC data. APAC sales reps can visualize the corresponding segmented data.
Which statement describes the cause of this issue?
A) The EMEA sales reps have not been assigned to the profile associated with the APAC data space.
B) The APAC data space Is not associated with any profile.
C) The EMEA sales reps have not been assigned to the permission set associated with the APAC data space.
D) The APAC data space is not associated with any permission set.
2. What is a reason to create a formula when ingesting a data stream?
A) To add a unique external identifier to an existing ruleset
B) To concatenate files so they are ingested in the correct sequence
C) To transform is date time field into a dale field for use in data mapping
D) To remove duplicate rows of data from the data stream
3. 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) Create five calculated insights for the activation and add dimension filters.
B) Include related attributes in the activation for the last 365 days.
C) Use a data transform to aggregate the statistics and map them to direct attributes on Individual to include in the activation.
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.
4. Northern Trail Outfitters (NTO) owns and operates six unique brands, each with their own set of customers, transactions, and loyalty information. The marketing director wants to ensure that segments and activations from the NTO Outlet brand do not reference customers or transactions from the other brands.
What is the most efficient approach to handle this requirement?
A) Separate the Outlet brand into a data space.
B) Use Business Unit Aware activation.
C) Separate the brands into six different data spaces.
D) Create a batch data transform to generate a DLO for the Outlet brand.
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: C | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: D |


