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NEW QUESTION # 29
Which of the following are characteristics of Formulas? (Choose 2)
- A. Ease of use, self-service
- B. Simple logic on a row-based operation
- C. Attribute updated regularly
- D. Highly reusable content
Answer: A,B
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. Reference: Formulas
NEW QUESTION # 30
What are two benefits Data Cloud provides a company in relation to managing customer data?
- A. Unified Identity Resolution
- B. Data Marketplace
- C. Data Harmonization
- D. Data Governance
Answer: A,C
Explanation:
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. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_identity_resolution.htm&type=5https://help.
NEW QUESTION # 31
Which permission setting should an administrator check if the custom CRM object is not available in New Data Stream configuration?
- A. Modify All object permission enabled in Data Cloud org
- B. Create object permission enabled in Data Cloud org
- C. Ingest Object permission is enabled in the CRM org
- D. View All object permission enabled in source CRM org
Answer: D
Explanation:
This permission setting should be checked if the custom CRM object is not available in New Data Stream configuration. The user who connects the Salesforce CRM connector must have View All permission for the custom object in the source CRM org. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_salesforce_crm.htm&type=5
NEW QUESTION # 32
Which three out-of-the-box connectors are available for Data Cloud?
- A. Marketing Cloud
- B. Slack Connector
- C. Amazon Redshift Connector
- D. Amazon S3
- E. B2C Commerce
Answer: A,D,E
Explanation:
These three out-of-the-box connectors are available for Data Cloud. They allow you to ingest data from Marketing Cloud, B2C Commerce, or Amazon S3 into Data Cloud and map it to the Data Cloud data model. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_connectors.htm&type=5
NEW QUESTION # 33
Which three actions can be applied to a previously created segment?
- A. Inactivate
- B. Copy
- C. Export
- D. Delete
- E. Reactivate
Answer: B,C,D
Explanation:
Explanation
These three actions can be applied to a previously created segment. You can export a segment to a CSV file, delete a segment from Data Cloud, or copy a segment to create a duplicate segment with the same criteria.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_actions.htm&type=5
NEW QUESTION # 34
Which data sources are available from Marketing Cloud as a starter bundle?
- A. Email, MobileConnect and MobilePush
- B. Email, Cloud Pages, Einstein Web & Email Recommendations
- C. Email, MobileConnect, MobilePush and GroupConnect
- D. Email, Mobile Connect, and Einstein Engagement Scoring
Answer: A
Explanation:
These data sources are available from Marketing Cloud as a starter bundle. They provide basic contact data, such as email address, mobile number, and device ID, as well as engagement data, such as email opens, clicks, bounces, unsubscribes, SMS sends, deliveries, opt-outs, and push sends, opens, and opt-outs. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm&type=5
NEW QUESTION # 35
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. Flow orchestration
- B. Metrics on metrics
- C. Nested segments
- D. Streaming data transformations
Answer: D
Explanation:
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 datatransformations allow you to transform and enrich streaming data from different sources using formulas and operators.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_streaming_data_transform.htm&
NEW QUESTION # 36
Which method should an administrator use when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK?
- A. Calculated Insight
- B. Activation
- C. Streaming Insight
- D. Segment
Answer: C
Explanation:
This method should be used when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK. Streaming Insight allows you to query and aggregate data from real-time streams using window functions. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 37
What are the two distinct phases of data model management in Data Cloud?
- A. Data Actions
- B. Data Activation
- C. Data Ingestion
- D. Data Modeling
Answer: C,D
Explanation:
Explanation
These two phases are distinct phases of data model management in Data Cloud. Data ingestion is the process of bringing data from different sources into Data Cloud using connectors or APIs. Data modeling is the process of mapping the ingested data to the Data Cloud canonical model or creating custom data model objects.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=5
NEW QUESTION # 38
The leadership team at Cumulus Financial has declared that customers who have deposited more than
$250,000 in the last 5 years and who are not using advisory services, will be the central focus for all new campaigns in the next year. Which two features support this need?
- A. Dashboard
- B. Report|
- C. Segment
- D. Calculated Insight
Answer: C,D
Explanation:
Explanation
These two features support the need to calculate each customer's lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Calculated Insight allows you to create complex calculations based on stored data, such as LTV. Segment allows you to create audiences based on different criteria, such as revenue source. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights.htm&type=5https://help.salesforce.co
NEW QUESTION # 39
Which two dependencies can prevent a Data Stream from being deleted?
- A. A data stream attribute is mapped to a Data Model object
- B. A data stream attribute is used in Activation
- C. A data stream attribute is used in Segmentation
- D. A data stream attribute is used in Calculated Insight
Answer: A,D
Explanation:
A data stream cannot be deleted if any of its attributes are mapped to a Data Model object or used in a Calculated Insight3. These dependencies need to be removed before deleting the data stream.
NEW QUESTION # 40
What is allowed when editing a Calculated Insight?
- A. Removing existing measures
- B. Adding new measures
- C. Adding new dimensions
- D. Removing existing dimensions
Answer: B
Explanation:
You can add new measures or dimensions to a Calculated Insight by selecting them from the available attributes list
NEW QUESTION # 41
Which type of measures with aggregate functions are supported?
- A. Text
- B. Numeric
- C. Date
- D. Boolean
Answer: B
Explanation:
Explanation
Numeric is the only type of measures that support aggregate functions. Measures are numeric fields that can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. For example, you can use a measure to calculate the total revenue or the average order value from your data. Date, Text, and Boolean are not types of measures, but types of dimensions. Dimensions are fields that can be used to group or filter data, but not to perform calculations. References: Measures and Dimensions
NEW QUESTION # 42
What are the two distinct phases of data model management in Data Cloud?
- A. Data Actions
- B. Data Activation
- C. Data Ingestion
- D. Data Modeling
Answer: C,D
Explanation:
Explanation
These two phases are distinct phases of data model management in Data Cloud. Data ingestion is the process of bringing data from different sources into Data Cloud using connectors or APIs. Data modeling is the process of mapping the ingested data to the Data Cloud canonical model or creating custom data model objects.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=5
NEW QUESTION # 43
Which match criteria is only available as custom in order to perform an exact match in Identity Resolution?
- A. Phone Number
- B. Email Address
- C. Government Id
- D. Party Identification Id
Answer: D
Explanation:
Party Identification Id is the only match criteria that is only available as custom in order to perform an exact match in Identity Resolution. Party Identification Id is a unique identifier for each Party Identification record in the data model. It is not one of the standard match criteria that Data Cloud provides out of the box, so it has to be created as a custom match criteria. Custom match criteria allow you to use any field from the data model as a match rule. Reference: Create Custom Match Criteria
NEW QUESTION # 44
Which of these is present in Identity Resolution Summary?
- A. All the above
- B. Unified Individuals
- C. Matched Individuals
- D. Last Processing Status
Answer: A
Explanation:
The Identity Resolution Summary page shows all the above information: Unified Individuals, Last Processing Status, and Matched Individuals. Unified Individuals are the profiles that Data Cloud creates by linking multiple source profiles based on match rules. Last Processing Status shows the date and time of the last identity resolution run and whether it was successful or not. Matched Individuals shows the number and percentage of source profiles that were matched to a unified individual profile. Reference: Identity Resolution Summary
NEW QUESTION # 45
How does Identity Resolution select attributes for Unified Individuals when there is conflicting information in the Data Model?
- A. Leverage Match Rules
- B. Leverage Reconciliation Rules
- C. Create additional Contact Points
- D. Create additional Rule Sets
Answer: B
Explanation:
Explanation
Reconciliation rules are used to select attributes for Unified Individuals when there is conflicting information in the Data Model. Reconciliation rules can use different methods to prioritize values, such as source sequence, most recent value, or most frequent value. For example, if two profiles have different first names, reconciliation rules can determine which one to use for the unified profile based on the source sequence or the most recent value. References: Identity Resolution Reconciliation Rules
NEW QUESTION # 46
Which two features are impacted by the timezone setting in the org Data Cloud is provisioned in?
- A. Identity Resolution
- B. Activation Schedule
- C. Segment Schedule
- D. Ingestion Schedule
Answer: B,C
Explanation:
Explanation
These two features are impacted by the timezone setting in the org Data Cloud is provisioned in. The segment schedule determines how often a segment is refreshed based on the selected timezone. The activation schedule determines how often a segment is exported to an activation target based on the selected timezone. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_schedule.htm&type=5https://help.salesfor
NEW QUESTION # 47
An administrator wants to be able to create a multi-dimensional metric to identify unified individual lifetime value (LTV). Which sequence of DMO joins are necessary within the Calculated Insight to enable this calculation?
- A. Unified Individual > Individual > Sales Order
- B. Sales Order > Unified Individual
- C. Sales Order > Individual > Unified Individual
- D. Unified Individual > Unified Link Individual > Sales Order
Answer: D
Explanation:
To create a multi-dimensional metric to identify unified individual lifetime value (LTV), the administrator needs to join the following data model objects (DMOs) in the Calculated Insight:
Unified Individual: This DMO represents the unified profile of an individual, which contains attributes from multiple sources.
Unified Link Individual: This DMO represents the link between an Individual DMO and a Unified Individual DMO.
Sales Order: This DMO represents a transaction or purchase made by an individual.
The sequence of joins should start from the Unified Individual DMO, then join the Unified Link Individual DMO using the UnifiedIndividualId field, and then join the Sales Order DMO using the IndividualId field. This way, the administrator can access the sales order data for each unified individual and calculate their lifetime value.
NEW QUESTION # 48
Which three options can be used to build a filter in the Segmentation Canvas?
- A. Related Attributes
- B. Streaming Insights
- C. Calculated Insights
- D. Direct Attributes
- E. Data Lake Objects
Answer: B,C,D
Explanation:
Explanation
A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the query to run on the streaming data and the frequency of the query execution.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 49
An administrator is setting up a data stream with transactional dat
a. What field type should the administrator choose to ensure that leading zeros in the purchase order number are preserved?
- A. Text
- B. Serial
- C. Decimal
- D. Number
Answer: A
Explanation:
The Text field type should be chosen to preserve leading zeros in the purchase order number, as this field type stores alphanumeric characters as strings. The Number and Decimal field types store numeric values as numbers, which would remove any leading zeros. The Serial field type is not a valid field type in Data Cloud. Reference: [Field Types]
NEW QUESTION # 50
An organization is looking to use Data Cloud to unify data across 5 Salesforce orgs, 2 Marketing Cloud accounts, 6 Amazon S3 Buckets, and 4 Personalization datasets. As far as connection limits are concerned, which platform is going to present a challenge?
- A. Marketing Cloud
- B. Personalization
- C. Salesforce CRM
- D. Amazon S3 Bucket
Answer: A
Explanation:
This platform is going to present a challenge in terms of connection limits for Data Cloud. Data Cloud supports up to 3 Marketing Cloud connections per org, which means that only 3 Marketing Cloud accounts can be connected as data sources or activation targets. The other platforms have higher or no limits for connections. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_limits.htm&type=5
NEW QUESTION # 51
Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
- A. Profile attributes are not yet supported
- B. Email Studio Starter Data Bundle
- C. Marketing Cloud Connect API
- D. Automation Studio and Profile API
Answer: D
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm&type=5
NEW QUESTION # 52
Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
- A. Profile attributes are not yet supported
- B. Email Studio Starter Data Bundle
- C. Marketing Cloud Connect API
- D. Automation Studio and Profile API
Answer: D
Explanation:
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/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundatio
NEW QUESTION # 53
Which three Data Model objects do Reconciliation Rules operate across?
- A. Party Identification
- B. Lead
- C. Individual
- D. Contact Point Email
- E. Contact
Answer: A,C,D
Explanation:
Explanation
These are the three Data Model objects that Reconciliation Rules operate across. Reconciliation rules tell Data Cloud how to prioritize values for unified individual profiles when there is conflicting information in the data model. For example, if two profiles have different email addresses, reconciliation rules can determine which one to use for the unified profile. Reconciliation rules can operate on the Individual object, which represents a person or entity, the Party Identification object, which represents an identifier such as a social media handle or a loyalty card number, and the Contact Point Email object, which represents an email address.
References: Identity Resolution Reconciliation Rules
NEW QUESTION # 54
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