Data-Cloud-Consultant 試験問題を無料オンラインアクセス

Northern Trail Outfitters (NTO) has a machine learning (ML) model trained externally in Amazon SageMaker to predict customer churn, and wants to use that model ' s inference inside Data 360 without duplicating data.
What should NTO do to achieve this?

• A.Connect the trained model in Data 360 in Bring Your Own Model (BYOM).
• B.Consume the predictions from the external platform as a data lake object (DLO).
• C.Use built-in Data 360 Calculated Insights.
• D.Use an out-of-the-box Einstein Studio customer churn predictive model.

A global insurance provider has tasked a Data 360 Consultant with optimizing performance for analytical queries running several times per hour against an external Redshift table in Salesforce Data 360 with no real- time needs. Which federation approach should the consultant recommend to balance performance and cost?

• A.Implement file federation exclusively using Data 360 compute on storage.
• B.Configure cached acceleration to store and refresh external data for repeat queries.
• C.Use live query federation so every request hits the external compute engine directly.
• D.Ingest the external data into Salesforce Data 360 as a standard object.

A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data 360. Where does a request for Data Deletion or Right to Be Forgotten get submitted?

• A.Through Consent API
• B.On the individual data profile in Data 360
• C.In Marketing Cloud settings
• D.In Data 360 settings

A customer has a requirement to receive a notification whenever an activation fails for a particular segment.
Which feature should the Data 360 Consultant use to solution for this use case?

• A.Dashboard
• B.Report
• C.Activation alert
• D.Flow

A retail company has customer data scattered across CRM, ecommerce, and support platforms. Marketing and support teams struggle to get a complete picture of the customer because data is inconsistent and siloed.
Which Salesforce Data 360 feature should the company implement first to solve this problem?

• A.Creating real-time AI-driven recommendations for customer engagement
• B.Delivering personalized offers across channels based on advanced segmentation
• C.Automating proactive service actions using IoT and predictive analytics
• D.Unifying fragmented customer and business data into a single, comprehensive view