Data-Cloud-Consultant Exam Dumps - Salesforce Data Cloud Questions and Answers

 The B2C Commerce Starter Bundles are predefined data streams that ingest order and product data from B2C Commerce into Data Cloud. However, the starter bundles only bring in the last 90 days of data by default. To bring in two years of transactional history, NTO needs to use a custom extract from B2C Commerce that includes the historical data and configure the data stream to use the custom extract as the source. The other options are not sufficient to achieve this because:

A. B2C Commerce Starter Bundles only ingest the last 90 days of data by default.

B. Direct Sales Order entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion.

C. Direct Sales Product entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion. References: Create a B2C Commerce Data Bundle - Salesforce, B2C Commerce Connector - Salesforce, Salesforce B2C Commerce Pricing Plans & Costs

 The Contact Point_Email object is the data entity that represents an email address associated with an individual in Data Cloud. It is part of the Customer 360 Data Model, which is a standardized data model that defines common entities and relationships for customer data. The Contact Point_Email object can be mapped to any custom or standard object that stores email addresses in Salesforce CRM, such as the custom Customer Email__c object. The other options are not the correct data entities to map to because:

A. The Contact object is the data entity that represents a person who is associated with an account that is a customer, partner, or competitor in Salesforce CRM. It is not the data entity that represents an email address in Data Cloud.

C. The custom Customer Email__c object is not a data entity in Data Cloud, but a custom object in Salesforce CRM. It can be mapped to a data entity in Data Cloud, such as the Contact Point_Email object, but it is not a data entity itself.

D. The Individual object is the data entity that represents a unique person in Data Cloud. It is the core entity for managing consent and privacy preferences, and it can be related to one or more contact points, such as email addresses, phone numbers, or social media handles. It is not the data entity that represents an email address in Data Cloud. References: Customer 360 Data Model: Individual and Contact Points - Salesforce, Contact Point_Email | Object Reference for the Salesforce Platform | Salesforce Developers, [Contact | Object Reference for the Salesforce Platform | Salesforce Developers], [Individual | Object Reference for the Salesforce Platform | Salesforce Developers]

Data streams are the sources of data that are ingested into Data Cloud and mapped to the data model. Data streams have different categories that determine how the data is processed and used in Data Cloud. Transaction data streams are used for time-based operations in segmentation and calculated insights, such as filtering by date range, aggregating by time period, or calculating time-to-event metrics. Transaction data streams are typically used for event data, such as purchases, clicks, or visits, that have a timestamp and a value associated with them. References: Data Streams, Data Stream Categories

 Unified Profile: Creating a unified customer profile in Salesforce Data Cloud involves consolidating data from various sources.

 Reconciliation Rules: These rules determine which data source is considered the "best" when conflicting data is encountered. Changing reconciliation rules allows prioritizing specific sources.

 Source Priority: Setting source priority involves defining which data source should be preferred over others for specific attributes.

 Process:

Step 1: Access the Data Cloud settings for reconciliation rules.

Step 2: Select the Contact Point Address details.

Step 3: Change the reconciliation rules for address attributes to "Source Priority."

Step 4: Move the Order DMO to the top of the priority list. This ensures that address details from customer orders are prioritized and selected as the best data to save to the unified profile.

 Benefits:

Accuracy: Ensures the most accurate and reliable address data is used in the unified profile.

Relevance: Gives priority to the most relevant and frequently updated source (customer orders).

 References:

Salesforce Data Cloud Reconciliation Rules

Salesforce Unified Customer Profile

The Source Sequence reconciliation rule sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name. This rule allows you to define which data source should be used as the primary source of truth for each attribute, and which data sources should be used as fallbacks in case the primary source is missing or invalid. For example, you can set the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing Cloud as the second priority, and data from Google Analytics as the third priority for the first name attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists, otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the accuracy and consistency of the unified profile attributes across different data sources. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules

A customer who wants to view the last time each segment was published within their Data Cloud org can use the dashboard and report features to achieve this requirement. A dashboard is a visual representation of data that can show key metrics, trends, and comparisons. A report is a tabular or matrix view of data that can show details, summaries, and calculations. Both dashboard and report features allow the user to create, customize, and share data views based on their needs and preferences. To view the last time each segment was published, the user can create a dashboard or a report that shows the segment name, the publish date, and the publish status fields from the segment object. The user can also filter, sort, group, or chart the data by these fields to get more insights and analysis. The user can also schedule, refresh, or export the dashboard or report data as needed. References: Dashboards, Reports

A key functionality of Salesforce Data Cloud is its ability to build insights on unified profiles . Here’s why this is the correct answer:

Understanding the Functionality of Data Cloud

Salesforce Data Cloud is designed to aggregate, unify, and analyze customer data from multiple sources.

Its primary purpose is to provide actionable insights that drive personalized customer experiences.

Why Build Insights on Unified Profiles?

Unified Profiles :

Data Cloud creates a unified profile by combining data from various sources (e.g., CRM, Marketing Cloud, external systems).

This single view of the customer enables organizations to understand behaviors, preferences, and interactions across touchpoints.

Building Insights :

Insights derived from unified profiles help organizations make data-driven decisions.

Examples include identifying high-value customers, predicting churn, and personalizing marketing campaigns.

Other Options Are Less Relevant :

A. To create a master data management (MDM) strategy : While Data Cloud supports data unification, it is not primarily an MDM tool.

B. To give a persistent ID for unified profiles : Persistent IDs are a feature of unified profiles but not the core functionality of Data Cloud.

D. To help users build a heat map using their data : Heat maps are a visualization tool, not a core functionality of Data Cloud.

Steps to Build Insights on Unified Profiles

Step 1: Ingest Data

Bring in customer data from multiple sources into Data Cloud.

Step 2: Create Unified Profiles

Use identity resolution to merge related records into a single unified profile.

Step 3: Analyze Data

Use tools like calculated insights, segments, and dashboards to derive actionable insights.

Step 4: Activate Insights

Use the insights to personalize customer experiences in downstream systems (e.g., Marketing Cloud, Sales Cloud).

Conclusion

The key functionality of Salesforce Data Cloud is to build insights on unified profiles , enabling organizations to deliver personalized and impactful customer experiences.

 Understanding the Use Case:

The leadership team wants to focus on customers who have deposited more than $250,000 in the last five years and are not using advisory services.

A streaming insight is a type of insight that analyzes streaming data in real time and triggers actions based on predefined conditions. A data action is a type of action that executes a flow, a data action target, or a data action script when an insight is triggered. By using a streaming insight paired with a data action, a consultant can accommodate Cumulus Financial’s request to track the daily transaction volume of each customer and send out a notification when the volume is outside the normal range. A calculated insight is a type of insight that performs calculations on data in a data space and stores the results in a data extension. A streaming data transform is a type of data transform that applies transformations to streaming data in real time and stores the results in a data extension. A flow is a type of automation that executes a series of actions when triggered by an event, a schedule, or another flow. None of these options can achieve the same functionality as a streaming insight paired with a data action. References: Use Insights in Data Cloud Unit, Streaming Insights and Data Actions Use Cases, Streaming Insights and Data Actions Limits and Behaviors