Cumulus Financial is experiencing delays in publishing multiple segments simultaneously. The company wants to avoid reducing the frequency at which segments are published, while retaining the same segments in place today. Which action should a consultant take to alleviate this issue?
A. Enable rapid segment publishing to all to segment to reduce generation time.
B. Reduce the number of segments being published.
C. Increase the Data Cloud segmentation concurrency limit.
D. Adjust the publish schedule start time of each segment to prevent overlapping processes.
Northern Trail Outfitters wants to create a segment with customers that have purchased in the last 24 hours. The segment data must be as up to date as possible. What should the consultant Implement when creating the segment?
A. Use streaming insights for near real-time segmentation results.
B. Use Einstein segmentation optimization to collect data from the last 24 hours.
C. Use rapid segments with a publish interval of 1 hour.
D. Use standard segment with a publish interval of 30 minutes.
Cumulus Financial wants to create a segment of individuals based on transaction history data. This data has been mapped in the data model and is accessible via multiple container paths for segmentation. What happens if the optimal container path for this use case is not selected?
A. Alternate container paths will be suggested before the segment is published.
B. The resulting segment may be smaller or larger than expected.
C. Data Cloud segmentation will automatically select the optimal container path.
D. The resulting segment will not be generated.
How does Data Cloud ensure data privacy and security?
A. By encrypting data at rest and in transit
B. By enforcing and controlling consent references
C. By securely storing data in an offsite server
D. BY limiting data access to authorized admins
Northern Trail Outfitters has the following customer data to ingest into Data Cloud and use for segmentation. 1. Propensity to purchase 2. Has active membership 3. Work email address Which data types should the consultant use when ingesting this data?
A. Number, Text, URL
B. Percent, Boolean, Email
C. Number, Boolean, Text
D. Percent, Number, Email
If a data source does not have a field that can be designated as a primary key, what should the consultant do?
A. Use the default primary key recommended by Data Cloud.
B. Create a composite key by combining two or more source fields through a formula field.
C. Select a field as a primary key and then add a key qualifier.
D. Remove duplicates from the data source and then select a primary key.
A customer has two Data Cloud orgs. A new configuration has been completed and tested for an Amazon S3 data stream and its mappings in one of the Data Cloud orgs. What is recommended to package and promote this configuration to the customer's second org?
A. Use the Metadata API.
B. Use the Salesforce CRM connector.
C. Create a data kit.
D. Package as an AppExchange application.
A consultant at Northern Trail Outfitters is attempting to ingest a field from the Contact object in Salesforce CRM that contains both yyyy-mm-dd and yyyy-mm-dd hh:mm:ss values. The target field is set to Date datatype. Which statement is true in this situation?
A. The target field will throw an error and store null values.
B. The target field will be able to hold both types of values.
C. The target field will only hold the time part and ignore the date part.
D. The target field will only hold the date part and ignore the time part.
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. Split the segment into smaller segments.
B. Use calculated insights in order to reduce the complexity of the segmentation query.
C. Refine segmentation criteria to limit up to five custom data model objects (DMOs).
D. Space out the segment schedules to reduce DLO load.
What is the primary purpose of Data Cloud?
A. Providing a golden record of a customer
B. Managing sales cycles and opportunities
C. Analyzing marketing data results
D. Integrating and unifying customer data