Which feature can integrate in real time with Salesforce CRM?
A. Data Actions
B. Identity Resolution
C. CRM Starter Bundle
D. Data Model Triggers
Explanation:
This feature can integrate in real time with Salesforce CRM. Data Actions allow you to perform actions on Salesforce CRM records based on Data Cloud data, such as creating, updating, or deleting records. References: https://help.salesforce.com/s/articleViewid=sf.c360_a_data_actions.htm &type=5
Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
A. Marketing Cloud Connect API
B. Email Studio Starter Data Bundle
C. Profile attributes are not yet supported
D. Automation Studio and Profile API
Explanation:
This option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis. You can use Automation Studio to export profile attributes to a data extension and use the Profile API to send them to Data Cloud. References: https://help.salesforce.com/s/articleViewid=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm &type=5
Which data model subject area should be used for any Organization, Individual, or Member in the Customer 360 data model?
A. Individual
B. Global Account
C. Party
D. Membership
Explanation:
The party subject area should be used for any organization, individual, or member in the Customer 360 data model. It includes information such as name, address, email, phone, and loyalty membership.
An organization wants to enable users with the ability to identify and select text attributes from a picklist of options. Which Data Cloud feature can help with this use case?
A. Transformation Formulas
B. Data Harmonization
C. Value Suggestion
D. Global Picklists
Northern Trail Outfitters wants to be able to calculate each customer's lifetime value (LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels. How should this use case be addressed in Data Cloud?
A. Nested segments
B. Flow orchestration
C. Streaming data transformations
D. Metrics on metrics
Explanation:
This feature can help Northern Trail Outfitters calculate each customer’s lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Streaming data transformations allow you to transform and enrich streaming data from different sources using formulas and operators.
What is the result of a segmentation criteria filtering on City | Is Equal To I 'San Jose?
A. Cities containing 'San Jose', 'San Jose', 'san jose'. or 'san jose'
B. Cities only containing 'San Jose' or 'San Jose'
C. Cities only containing 'San Jose' or 'san jose'
D. Cities only containing 'San Jose' or 'san jose'
Which configuration can support separate Amazon S3 buckets for data ingestion and activation?
A. Dedicated S3 data sources in activation setup
B. Dedicated S3 data sources in Data Cloud setup
C. Separate user credentials for data stream and activation
D. Separate user credentials for data stream and activation target
What is allowed when editing a Calculated Insight?
A. Removing existing measures
B. Adding new measures
C. Adding new dimensions
D. Removing existing dimensions
Which two steps are required when configuring a Marketing Cloud activation? (Choose 2 answers)
A. Set an Activation Schedule
B. Select an Activation Target
C. Add Additional Attributes
D. Select Contact Points
How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?
A. Use a formula field to update the field name in an activation.
B. Update attribute names in the data stream configuration.
C. Set preferred attribute names when configuring activation.
D. Update field names in the data model object.
Explanation:
A Cloud File Storage target is a type of data action target in Data Cloud that allows sending data to a cloud storage service such as Amazon S3 or Google Cloud Storage.
When configuring an activation to a Cloud File Storage target, a consultant can modify the attribute names to match a naming convention by setting preferred attribute names in Data Cloud. Preferred attribute names are aliases that can be used to control the field names in the target file. They can be set for each attribute in the activation configuration, and they will override the default field names from the data model object.
The other options are incorrect because they do not affect the field names in the target file. Using a formula field to update the field name in an activation will not change the field name, but only the field value. Updating attribute names in the data stream configuration will not affect the existing data lake objects or data model objects. Updating field names in the data model object will change the field names for all data sources and activations that use the object, which may not be desirable or consistent.
A customer wants to create segments of users based on their Customer Lifetime Value. The source data that will be brought into the Data Cloud does not include that KPI. What process should be followed to achieve this outcome?
A. Map Data to Data Model > Create Calculated Insight > Use in Segmentation
B. Ingest Data > Map Data to Data Model > Create Calculated
C. Insight > Use in Segmentation
D. Ingest Data > Create Calculated Insight > Use in Segmentation
E. Create Calculated Insight > Map Data to Data Model > Use in Segmentation
Explanation:
To create segments of users based on their Customer Lifetime Value, the customer needs to first ingest the source data into Data Cloud, then map the data to the Customer 360 data model, then create a calculated insight using the formula editor, and finally use the calculated insight in segmentation.
Cumulus Financial wants to be able to track the daily transaction volume for of each of its customers in real time and send out a notification as soon it detects volume outside a customer's normal range. How should an administrator accommodate this request?
A. Use Streaming Data Transformations with a Flow
B. Use a Streaming Insight paired with a Data Action
C. Use Streaming Data Transformations combined with a Data Action
D. Use a Calculated Insight paired with a Flow
Explanation:
To track the daily transaction volume for each customer in real time and send out a notification as soon as it detects volume outside a customer's normal range, the administrator should use a Streaming Insight paired with a Data Action. A Streaming Insight is a metric that is calculated on streaming data as it is ingested into Data Cloud, allowing near-real-time analysis of customer behavior. A Data Action is an action that is triggered by a Streaming Insight, such as sending an email, updating a record, or calling an API. By using these features, the administrator can monitor and respond to customer transactions in real time.
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