Salesforce-Data-Cloud Sample Questions Answers

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

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. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_party.htm &type=5

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

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

The Email field from a CRM Contact object should be mapped to the Contact Point Email entity in the Customer 360 data model. This entity represents an email address that is associated with an individual or an account contact. References: [Contact Point Email Entity]

This operator can be used to create a segment for a birthday campaign that is evaluated daily. It compares a date attribute to the current date and returns true if they have the same month and day, regardless of the year. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_segmentation_operators.htm &type=5

The Salesforce CRM connector supports ingestion of standard objects and custom objects from Salesforce CRM. Standard objects are predefined objects that are included with Salesforce CRM, such as Account, Contact, Lead, etc. Custom objects are objects that customers can create to store information that is specific to their organization or industry. References: [Salesforce CRM Connector], [Standard Objects], [Custom Objects]

These two applications automatically create activation targets when they are connected to Data Cloud. You can 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=5

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 &type=5

The custom ‘Customer_Email_c’ object related to the standard ‘Contact’ object in Salesforce CRM should be mapped to the Contact Point Email entity in the Customer 360 data model. This entity represents an email address that is associated with an individual or an account contact. References: [Contact Point Email Entity]

A Data Model Object (DMO) that inherits the name, shape, and semantics of the reference object is called a Standard DMO. A reference object is a predefined object in the Data Cloud data model that represents a common entity or concept, such as Individual, Order, or Product. A Standard DMO is a copy of a reference object that you can use to ingest data from a specific source without modifying the original reference object. A Standard DMO has the same fields and relationships as the reference object, but you can add custom fields or relationships to it if needed. References: Data Model Objects

The data streams that use the Marketing Cloud Connector refresh data using Marketing Cloud’s Automation Studio. The Marketing Cloud Connector is a feature that allows you to stream data from Marketing Cloud to Data Cloud in near real time. The connector uses Automation Studio to schedule and run data extracts from Marketing Cloud data extensions and send them to Data Cloud via SFTP. You can configure the frequency and time of the data extracts in Automation Studio. References: Marketing Cloud Connector

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

These two steps are required when configuring a Marketing Cloud activation. You need to select an activation target that represents a Marketing Cloud business unit and a contact point that represents a Marketing Cloud data extension. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud.htm &type=5

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

This component should be recommended to achieve the goal of understanding which identified users have browsed the jobs page on their website at least twice within the last 12 hours. Streaming Insight allows you to query and filter data from real-time streams using window functions and aggregation functions. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm &type=5

The type of the Event Time Field while ingesting Engagement data should be Immutable. Immutable means that the field value cannot be changed once it is ingested. The Event Time Field is a mandatory field for Engagement data that represents the timestamp of when an event occurred. It is important to keep this field immutable to ensure the accuracy and consistency of the event data. References: Engagement Data Model

The transaction data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights. This category indicates that the data stream contains events that occur at a specific point in time and have a duration. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_stream_category.htm &type=5

One possible reason why a new custom field is not available in the data stream is that the Salesforce Integration User, which is used to connect to the CRM source, does not have “Read” permissions on that field2. To fix this issue, the administrator needs to grant the appropriate permissions to the Integration User profile or permission set.

This is the first thing a business stakeholder should focus on when considering a Data Cloud implementation. Obtaining cross-organizational buy-in involves aligning the goals and expectations of different teams and stakeholders who will use or contribute to Data Cloud. References: https://trailhead.salesforce.com/content/learn/modules/customer-data-platform-basics/get-started-with-customer-data-platform

The app details page shows the status of the app, such as active, inactive, or error. The tenant specific endpoint is a unique URL that is generated for each app and used to send data to Data Cloud from the web or mobile SDK. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm &type=5

You can add new measures or dimensions to a Calculated Insight by selecting them from the available attributes list

The recommended order of processes for updating data in Data Cloud is as follows6:

• Refresh Data Stream: This process updates the data from the source, such as Amazon S3, into Data Cloud.
• Identity Resolution: This process runs the rulesets that link together multiple records of an individual into a unified profile.
• Calculated Insight: This process calculates additional attributes based on existing data, such as lifetime value or churn risk.

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. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm &type=5