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| Section | Weight | Objectives |
|---|---|---|
| Identity Resolution | 14% | - Conflict resolution - Identity use cases - Unified profile creation - Matching and reconciliation rules |
| Data Cloud Overview | 18% | - Architecture and ecosystem - Business value and use cases - Core concepts and terminology |
| Act on Data | 18% | - Attribute usage and management - Troubleshooting activations - Process automation and triggering - Activation concepts and use cases |
| Data Ingestion and Modeling | 20% | - Transformation and mapping - Data validation and inspection - Ingestion from various sources - Data modeling best practices |
| Data Cloud Setup and Administration | 12% | - Monitoring and maintenance tools - Data spaces and configuration - Permissions and access control - Data streams and data bundles |
| Segmentation and Insights | 18% | - Calculated vs streaming insights - Segment membership analysis - Insight implementation - Segment creation and configuration |
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NEW QUESTION # 136
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
Answer: B,D
Explanation:
The error "Segment references too many data lake objects (DLOs)" occurs when a segment query exceeds the limit of 50 DLOs that can be referenced in a single query. This can happen when the segment has too many filters, nested segments, or exclusion criteria that involve different DLOs. To remedy this issue, the consultant can try the following troubleshooting tips:
Split the segment into smaller segments. The consultant can divide the segment into multiple segments that have fewer filters, nested segments, or exclusion criteria. This can reduce the number of DLOs that are referenced in each segment query and avoid the error. The consultant can then use the smaller segments as nested segments in a larger segment, or activate them separately.
Use calculated insights in order to reduce the complexity of the segmentation query. The consultant can create calculated insights that are derived from existing data using formulas. Calculated insights can simplify the segmentation query by replacing multiple filters or nested segments with a single attribute. For example, instead of using multiple filters to segment individuals based on their purchase history, the consultant can create a calculated insight that calculates the lifetime value of each individual and use that as a filter.
The other options are not troubleshooting tips that can help remedy this issue. Refining segmentation criteria to limit up to five custom data model objects (DMOs) is not a valid option, as the limit of 50 DLOs applies to both standard and custom DMOs. Spacing out the segment schedules to reduce DLO load is not a valid option, as the error is not related to the DLO load, but to the segment query complexity.
Troubleshoot Segment Errors
Create a Calculated Insight
Create a Segment in Data Cloud
NEW QUESTION # 137
Which of the following are characteristics of Formulas? (Choose 2)
Answer: B,C
Explanation:
Explanation
These are two characteristics of Formulas. Formulas are a feature that allows you to create custom fields in the data model using simple logic on a row-based operation. For example, you can use a formula to create a field that concatenates the first name and last name of an individual. Formulas are easy to use and self-service, meaning that you can create them without coding or complex queries. You can use formulas to enrich your data and create more meaningful segments and insights. References: Formulas
NEW QUESTION # 138
Cloud Kicks has received a Request to be Forgotten by a customer. In which two ways can Data Cloud honor this request?
Answer: C,D
Explanation:
Explanation
These two ways can help Data Cloud honor a request to be forgotten by a customer. The Consent API allows you to set a consent flag for an individual that prevents further processing of their data and deletes their records from source data streams. The delete from file functionality allows you to upload a file with individual IDs that will be deleted from Data Cloud. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5https://help.salesfo
NEW QUESTION # 139
Which configuration can support separate Amazon S3 buckets for data ingestion and activation?
Answer: B
NEW QUESTION # 140
What are two benefits Data Cloud provides a company in relation to managing customer data?
Answer: B,D
Explanation:
These two benefits Data Cloud provides a company in relation to managing customer data. Unified Identity Resolution allows a company to link data from different sources and create a single view of each customer. Data Harmonization allows a company to standardize and enrich data from different sources and improve data quality and usability. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_identity_resolution.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_harmonization.htm&type=5
NEW QUESTION # 141
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