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NEW QUESTION # 27
What are the two distinct phases of data model management in Data Cloud?
- A. Data Activation
- B. Data Actions
- C. Data Modeling
- D. Data Ingestion
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 # 28
To import campaign members into a campaign in CRM a user wants to export the segment to Amazon S3. The resulting file needs to include CRM Campaign ID in the name. How can this outcome be achieved?
- A. Include campaign identifier into the activation name
- B. Include campaign identifier into the filename specification
- C. Hard-code the campaign identifier as a new attribute in the campaign activation
- D. Include campaign identifier into the segment name
Answer: B
Explanation:
You can use the filename specification option in the Amazon S3 activation to customize the name of the file that is exported. You can use variables such as {campaignId} to include the CRM campaign ID in the file name. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5
NEW QUESTION # 29
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 > Unified Link Individual > Sales Order
- B. Sales Order > Unified Individual
- C. Sales Order > Individual > Unified Individual
- D. Unified Individual > Individual > Sales Order
Answer: A
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 # 30
How does Identity Resolution select attributes for Unified Individuals when there is conflicting information in the Data Model?
- A. Create additional Rule Sets
- B. Create additional Contact Points
- C. Leverage Match Rules
- D. Leverage Reconciliation Rules
Answer: D
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 # 31
Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
- A. Automation Studio and Profile API
- B. Profile attributes are not yet supported
- C. Marketing Cloud Connect API
- D. Email Studio Starter Data Bundle
Answer: A
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 # 32
How many days of historical data is loaded when B2C Commerce Data Stream is created from the Order Bundle?
- A. 30 days
- B. 90 days
- C. 10 days
- D. 60 days
Answer: A
Explanation:
When B2C Commerce Data Stream is created from the Order Bundle, 30 days of historical data is loaded. The Order Bundle is a preconfigured data bundle that contains order-related data from B2C Commerce Cloud. Data Stream is a feature that allows you to stream data from B2C Commerce Cloud to Data Cloud in near real time. Reference: B2C Commerce Data Stream
NEW QUESTION # 33
Which two features are impacted by the timezone setting in the org Data Cloud is provisioned in?
- A. Segment Schedule
- B. Activation Schedule
- C. Identity Resolution
- D. Ingestion Schedule
Answer: A,B
Explanation:
These two features are impacted by the timezone setting in the org DataCloud 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://h
NEW QUESTION # 34
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. Value Suggestion
- C. Data Harmonization
- D. Global Picklists
Answer: B
Explanation:
Explanation
Value suggestion is a feature of Data Cloud that allows you to identify and select text attributes from a picklist of options. You can use value suggestion to standardize values across different data sources and improve data quality.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_value_suggestion.htm&type=5
NEW QUESTION # 35
Which two objects or fields are supported for ingestion using the Salesforce CRM connector?
- A. Custom Objects
- B. Standard Objects
- C. Standard Big Objects
- D. Custom Big Objects
Answer: A,B
Explanation:
Explanation
These two objects or fields are supported for ingestion using the Salesforce CRM connector. You can select standard or custom objects from your Salesforce CRM org and map them to Data Cloud data model objects.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_salesforce_crm.htm&type=5
NEW QUESTION # 36
When performing Segmentation or Activation, which timezone is used to publish and refresh data?
- A. Timezone set by the Salesforce Data Cloud org
- B. Timezone of the user defining the activity
- C. Timezone is explicitly specified when creating a segment or activation
- D. Timezone of the Data Cloud Admin user
Answer: A
Explanation:
According to the Salesforce Data Cloud documentation1, the timezone used for Segmentation and Activation is the one set by the Salesforce Data Cloud org, not by the individual user or admin. This ensures consistency and accuracy across different users and regions.
NEW QUESTION # 37
Which two applications automatically create activation targets at the time the application is connected to Data Cloud?
- A. B2C Commerce
- B. Amazon S3
- C. Marketing Cloud Engagement
- D. Personalization powered by Interaction Studio
Answer: A,D
Explanation:
These two applications automatically create activation targets when they are connected to Data Cloud. Youcan use these targets to activate segments or calculated insights to these applications.References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_activation.htm&type
NEW QUESTION # 38
What are the two distinct phases of data model management in Data Cloud?
- A. Data Activation
- B. Data Actions
- C. Data Modeling
- D. Data Ingestion
Answer: C,D
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=5
NEW QUESTION # 39
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 thisuse case be addressed in Data Cloud?
- A. Metrics on metrics
- B. Streaming data transformations
- C. Nested segments
- D. Flow orchestration
Answer: B
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.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_streaming_data_transform.htm&
NEW QUESTION # 40
A customer has requested that their personal data be deleted. Which action should be performed to accommodate this request in Data Cloud?
- A. Use Consent API to request deletion of the customer's information
- B. Use Ingestion API to request deletion of the customer's information
- C. Manually delete customer and related records using the Profile Explorer
- D. Utilize the Data Rights Subject Request tool to request deletion of the customer's information
Answer: A
Explanation:
This action should be performed to accommodate the request to delete personal data in Data Cloud. 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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5
NEW QUESTION # 41
A customer has requested that their personal data be deleted. Which action should be performed to accommodate this request in Data Cloud?
- A. Use Consent API to request deletion of the customer's information
- B. Use Ingestion API to request deletion of the customer's information
- C. Manually delete customer and related records using the Profile Explorer
- D. Utilize the Data Rights Subject Request tool to request deletion of the customer's information
Answer: A
Explanation:
This action should be performed to accommodate the request to delete personal data in Data Cloud. 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.References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=
NEW QUESTION # 42
A customer has requested that their personal data be deleted. Which action should be performed to accommodate this request in Data Cloud?
- A. Use Consent API to request deletion of the customer's information
- B. Use Ingestion API to request deletion of the customer's information
- C. Manually delete customer and related records using the Profile Explorer
- D. Utilize the Data Rights Subject Request tool to request deletion of the customer's information
Answer: A
Explanation:
This action should be performed to accommodate the request to delete personal data in Data Cloud. 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. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5
NEW QUESTION # 43
What can be customized in the Data Cloud canonical model?
- A. Objects, Fields, and Relationships
- B. Objects and Fields
- C. Objects
- D. Fields
Answer: A
Explanation:
Explanation
You can customize the Data Cloud canonical model by adding, editing, or deleting objects, fields, and relationships. You can also modify the properties, labels, and descriptions of these components.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_canonical_model.htm&type=5
NEW QUESTION # 44
Which three actions can be applied to a previously created segment?
- A. Delete
- B. Export
- C. Inactivate
- D. Reactivate
- E. Copy
Answer: A,B,E
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 # 45
How can attribute names be modified to match a naming convention in Cloud File Storage target?
- A. Update field names in the data model
- B. Use a formula field to update the field name in an activation
- C. Update attribute names in the data stream configuration
- D. Set preferred attribute names when configuring activation
Answer: A
Explanation:
Explanation
You can modify the attribute names in the data model by editing the field label or API name of the corresponding field. This will change how the attribute name appears in the Cloud File Storage target.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=5
NEW QUESTION # 46
Which three out-of-the-box connectors are available for Data Cloud?
- A. B2C Commerce
- B. Amazon Redshift Connector
- C. Amazon S3
- D. Slack Connector
- E. Marketing Cloud
Answer: A,C,E
Explanation:
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.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_connectors.htm&type=5
NEW QUESTION # 47
Which three options can be used to build a filter in the Segmentation Canvas?
- A. Related Attributes
- B. Data Lake Objects
- C. Calculated Insights
- D. Direct Attributes
- E. Streaming Insights
Answer: C,D,E
Explanation:
A window function is aunique 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 # 48
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