Salesforce Data-Cloud-Consultant Dumps Questions Answers

The analytics requirement determines whether the logic belongs in an insight, a semantic metric, or a query-time layer. Create a calculated field in the semantic layer. matches the need because the business is asking for reusable metrics, dimensions, or aggregation behavior that consumers can filter and analyze. Data 360 separates raw harmonized data from analytical definitions so that dashboards, Tableau experiences, and segment logic remain consistent. The distractors fall short because they either move the problem into the wrong system, add needless duplication, ignore Data 360 object relationships, or rely on a feature built for a different lifecycle stage. In a real implementation, those choices usually create brittle pipelines, stale data, security exposure, or segments that look correct on paper but fail when activated. Thinking like an architect, the selected option places the logic where Data 360 can govern it and reuse it reliably. This is the nuance exam questions often test: the platform capability must match both the technical layer and the business timing requirement, not just sound related to data.

The governance lens is least privilege, purpose limitation, and honoring privacy operations against the individual profile. Use separate data spaces for each business unit supports the governance requirement because Data 360 implementations should minimize unnecessary access, avoid over-collection, and process deletion or consent requests at the profile level where Salesforce expects them. The safest design is explicit, auditable, and limited to the business purpose. The distractors fall short because they either move the problem into the wrong system, add needless duplication, ignore Data 360 object relationships, or rely on a feature built for a different lifecycle stage. In a real implementation, those choices usually create brittle pipelines, stale data, security exposure, or segments that look correct on paper but fail when activated. Thinking like an architect, the selected option places the logic where Data 360 can govern it and reuse it reliably. This is the nuance exam questions often test: the platform capability must match both the technical layer and the business timing requirement, not just sound related to data.

The requirement is an immediate, event-driven response to newly available streaming data, so the solution must avoid scheduled processing. Salesforce real-time data actions are designed to send alerts or events and obtain responses in real time. For this pattern, Salesforce directs administrators to create an automation event-triggered flow using the Custom Real-Time Data Graph Event. The flow can run when a real-time data graph DMO or calculated insight object changes and satisfies configured conditions. That makes B the correct architecture. Manual activation is not automatic and cannot meet the latency objective. A calculated insight plus segment refresh introduces processing stages that are unnecessary for an immediate trigger. Scheduled batch transforms are explicitly asynchronous and therefore unsuitable for an “in the moment” service-recovery workflow. Real-time data action plus event-triggered Flow is the native event-driven pattern.

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