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| Section | Weight | Objectives |
|---|---|---|
| Data Cloud Setup and Administration | 12% | - Permissions and access control - Data streams and data bundles - Data spaces and configuration - Monitoring and maintenance tools |
| Data Ingestion and Modeling | 20% | - Data validation and inspection - Ingestion from various sources - Data modeling best practices - Transformation and mapping |
| Identity Resolution | 14% | - Matching and reconciliation rules - Identity use cases - Unified profile creation - Conflict resolution |
| Segmentation and Insights | 18% | - Insight implementation - Calculated vs streaming insights - Segment membership analysis - Segment creation and configuration |
| Data Cloud Overview | 18% | - Business value and use cases - Architecture and ecosystem - Core concepts and terminology |
| Act on Data | 18% | - Activation concepts and use cases - Troubleshooting activations - Attribute usage and management - Process automation and triggering |
Question 1
Northern Trail Outfitters asks its consultant to extract the runner profiles and activity logs from its Track My Run mobile app and load them into Data Cloud. The marketing department also indicates that they need the last 90 days of historical data and want all new and updated data as it becomes available on a go-forward basis.
As best practice, which sequence of actions should the consultant use to implement this request?
A. Use bulk ingestion to first load the last 90 days of data, and also subsequently use bulk ingestion to synchronize the future data as It becomes available.
B. Use streaming ingestion to first load the last 90 days of data, and then use bulk Ingestion to synchronize future data as It becomes available.
C. Use streaming ingestion to first load the last 90 days of data, and also subsequently use streaming ingestion synchronize future data as It becomes available.
D. Use bulk ingestion to first load the last 90 days of data, and then use streaming ingestion to synchronize future data as It becomes available.
Question 2
A segment fails to refresh with the error "Segment references too many data lake objects (DLOS)".
Which two troubleshooting tips should help remedy this issue?
Choose 2 answers
A. Space out the segment schedules to reduce DLO load.
B. Split the segment into smaller segments.
C. Refine segmentation criteria to limit up to five custom data model objects (DMOs).
D. Use calculated insights in order to reduce the complexity of the segmentation query.
Question 3
A consultant is preparing to implement Data Cloud.
Which ethic should the consultant adhere to regarding customer data?
A. Allow senior leaders in the firm to access customer data for audit purposes.
B. Map sensitive data to the same DMO for ease of deletion.
C. Collect and use all of the data to create more personalized experiences.
D. Carefully consider asking for sensitive data such as age, gender, or ethnicity.
Question 4
What is the primary purpose of Data Cloud?
A. Integrating and unifying customer data
B. Providing a golden record of a customer
C. Managing sales cycles and opportunities
D. Analyzing marketing data results
Question 5
A customer notices that their consolidation rate has recently increased. They contact the consultant to ask why.
What are two likely explanations for the increase?
Choose 2 answers
A. Duplicates have been removed from source system data streams.
B. Identity resolution rules have been added to the ruleset to increase the number of matchedprofiles.
C. Identity resolution rules have been removed to reduce the number of matched profiles.
D. New data sources have been added to Data Cloud that largely overlap with the existing profiles.
Solutions:
| Question 1 Answer: D | Question 2 Answer: B,D | Question 3 Answer: D | Question 4 Answer: A | Question 5 Answer: B,D |
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