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Latest Data Cloud Consultant Exam Dumps Questions
The dumps for Data Cloud Consultant exam was last updated on Apr 04,2025 .
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When performing segmentation or activation, which time zone is used to publish and refresh data?
Explanation: The time zone that is used to publish and refresh data when performing segmentation or activation is D. Time zone set by the Salesforce Data Cloud org. This time zone is the one that is configured in the org settings when Data Cloud is provisioned, and it applies to all users and activities in Data Cloud. This time zone determines when the segments are scheduled to refresh and when the activations are scheduled to publish. Therefore, it is important to consider the time zone difference between the Data Cloud org and the destination systems or channels when planning the segmentation and activation strategies. Reference: Salesforce Data Cloud Consultant Exam Guide, Segmentation, Activation
Cumulus Financial (CF) wants to target loyal and engaged customers. When a platinum tier customer visits their Investment pages more than three times in a 24-hour period, CF wants to Immediately Send an email that offers a private consultation. What should a consultant recommend for this business requirement?
What is the role of artificial intelligence (AI) in Data Cloud?
Explanation: Role of AI in Data Cloud: Artificial intelligence (AI) plays a crucial role in Salesforce Data Cloud by leveraging data to generate insights and predictions that enhance customer interactions. Insights and Predictions: AI Algorithms: Use machine learning algorithms to analyze vast amounts of customer data. Predictive Analytics: Provide predictive insights, such as customer behavior trends, preferences, and potential future actions. Enhancing Customer Interactions: Personalization: AI helps in creating personalized experiences by predicting customer needs and preferences. Efficiency: Enables proactive customer service by predicting issues and suggesting solutions before customers reach out. Marketing: Improves targeting and segmentation, ensuring that marketing efforts are directed towards the most promising leads and customers. Use Cases: Recommendation Engines: Suggest products or services based on past behavior and preferences. Churn Prediction: Identify customers at risk of leaving and engage them with retention strategies. Reference: Salesforce Data Cloud AI Capabilities Salesforce AI for Customer Interaction
The leadership team at Cumulus Financial has determined that customers who deposited more than $250,000 in the last five years and are not using advisory services will be the central focus for all new campaigns in the next year. Which features support this use case?
Explanation: 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. Reference: Salesforce Data Cloud Use Case Documentation Features Involved: Calculated Insight: This feature helps derive metrics and values based on existing data. In this case, it can calculate total deposits over the last five years. Segment: Segmentation allows targeting specific groups of customers based on defined criteria, such as total deposits and usage of advisory services. Reference: Salesforce Calculated Insights and Segmentation Guide Steps to Implement: Create a Calculated Insight: Navigate to Visual Insights Builder in Salesforce Data Cloud. Create a new calculated insight to sum deposits for each customer over the last five years. Create a Segment: Use the Segment Canvas to create a new segment. Apply filters to include customers with deposits over $250,000 and exclude those using advisory services. Reference: Salesforce Calculated Insights Tutorial and Segment Creation Guide Practical Application: Example: Identify high-value customers who are not leveraging additional services and target them with personalized marketing campaigns to promote advisory services. Reference: Salesforce High-Value Customer Segmentation Case Study
A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour. How should the consultant configure the solution to ensure the data action is triggered at the cadence required?
Exam Code: Data Cloud Consultant Q & A: 170 Q&As Updated: Apr 04,2025
