General Study Notes Quiz

A child object of the Individual object that stores identifiers for an individual, such as email, phone, loyalty ID, social media handle, etc. Each identifier has a type, a value, and a source.

The object that represents a unified profile of an individual, but it does not store the Loyalty ID directly.

A child object of the Contact object that stores identifiers for a contact, such as email, phone, etc., but it does not store the Loyalty ID.

This object does not exist in Data Cloud.

Fields from the Master Customer table should be mapped to the standard data model objects that are designed for this purpose, such as the Individual and the Contact Phone Email objects.

The Individual object is used to store the name and other personally identifiable information (PII) of a customer, while the Contact Phone Email object is used to store the primary email address and other contact information of a customer.

A "NO FILE FOUND" error message indicates that Data Cloud cannot access or locate the file from the Amazon S3 source.

The Data Cloud user may not have the correct permissions to read the file from the Amazon S3 bucket; The file may not exist in the specified bucket location.

The Sales Order subject area defines the details of an order placed by a customer for one or more products or services. It includes information such as the order date, status, amount, quantity, currency, payment method, and delivery method.

Data Cloud requires a Contact Point for Marketing Cloud activations, which is a record that links an individual to an email address. This ensures that the individual has given consent to receive email communications and that the email address is valid.

Metrics on metrics is a feature that allows creating new metrics based on existing metrics and applying mathematical operations on them. This can be useful for calculating complex business metrics such as LTV, ROI, or conversion rates.

The Ingestion API is a RESTful API that allows you to stream data from any source into Data Cloud in a fast and scalable way. You can use the Ingestion API to send data from your inventory management system into Data Cloud as JSON objects, and then use Data Cloud to create data models, segments, and insights based on your inventory data.

To increase the consolidation rate, you need to increase the number of matches between source profiles, which can be done by adding more match rules.

Data spaces are logical containers that allow you to separate and organize your data by different criteria, such as brand, region, product, or business unit. Data spaces can help you manage data access, security, and governance.

Value suggestion is a Data Cloud feature that allows users to see and select the possible values for a text field when creating segment filters. Value suggestion can help users to identify and select text attributes from a picklist of options, without having to type or remember the exact values.

The best option that the consultant should do to ensure the ecommerce data is ready for use for each of the scheduled activations is A. Use Flow to trigger a change data event on the ecommerce data to refresh calculated insights and segments before the activations are scheduled to run.

The Consent API in Salesforce is designed to handle data deletion requests specifically for individual profiles.

The Consent API in Salesforce is designed to handle data deletion requests specifically for individual profiles.

Streaming transforms are a feature that allows you to create a visual, guided way to map and transform CRM data in real time.

A higher consolidation rate means that more source profiles are matched and merged into fewer unified profiles, while a lower consolidation rate means that fewer source profiles are matched and more unified profiles are created.

Data Cloud is a data platform that enables you to activate all your customer data across Salesforce applications and other systems. Data Cloud allows you to create a unified profile of each customer by ingesting, transforming, and linking data from various sources, such as CRM, marketing, commerce, service, and external data providers.

To support separate Amazon S3 buckets for data ingestion and activation, you need to configure dedicated S3 data sources in Data Cloud setup.

Value suggestion is a Data Cloud feature that allows users to see and select the possible values for a text field when creating segment filters.

The CRM Connector allows standard fields to stream into Data Cloud in real time.

To delete a data stream in Data Cloud, the underlying data lake object (DLO) must not have any dependencies or references to other objects or processes.

A data transform is a process that transforms ingested data into a standardized format and structure for the data model.

To create a multi-dimensional metric to identify unified individual lifetime value (LTV), the sequence of data model object (DMO) joins that is necessary within the calculated Insight is Unified Individual > Unified Link Individual > Sales Order.

Identity resolution is the feature that allows Data Cloud to match and reconcile data about individuals from multiple data sources into a single unified profile.

The Ignore Empty Value option in identity resolution allows customers to ignore empty fields when running reconciliation rules.

The SFTP Connector is a data source connector that allows Data Cloud to ingest data from an SFTP server.

The most efficient approach that a consultant should take when ingesting this data to ensure all the different phone numbers are properly mapped and available for use in activation is B. Ingest the Contact object and use streaming transforms to normalize the phone numbers from the Contact data stream into a separate Phone data lake object (DLO) that contains three rows, and then map this new DLO to the Contact Point Phone data map object.

The best way to handle a Request to be Forgotten is for a consultant to use the Consent API and utilize the delete from file functionality.