What are the core pillars of Data Cloud capabilities?

• A. Import, Export, Query, Copy, Paste
• B. Connect, Harmonize, Unify, Analyze and Predict, and Act
• C. Ingest, Augment, Network, Contain, Broadcast
• D. Connect, Transpose, Unify, Accelerate, Act

Answer: (B)

These five pillars describe end-to-end data handling in a Data Cloud platform. Connect brings data in from diverse sources through connectors and pipelines so the system can access information stored across apps, databases, and devices. Harmonize focuses on data quality and consistency—cleaning, standardizing formats, deduplicating records, and resolving identities so data from different sources can truly work together. Unify goes a step further to create a single, trusted view, often a customer 360 or master data hub, by linking and consolidating records across sources. Analyze and Predict applies analytics and AI to derive insights and forecast outcomes, turning data into meaningful intelligence. Act is about operationalizing those insights—triggering workflows, updating downstream systems, or automating decisions so the organization can respond in real time.

The other options miss key elements or use terms that don’t align with how Data Cloud capabilities are typically described. For example, purely manual actions like import/export or generic query steps don’t capture the end-to-end flow from data ingestion to actionable outcomes.