Which statement about Data Cloud ingestion capabilities is true?

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Multiple Choice

Which statement about Data Cloud ingestion capabilities is true?

Explanation:
Data Cloud ingestion is built to pull in data from a wide range of sources using multiple methods, not just one path. The best statement reflects this breadth by noting that data from Salesforce, legacy systems, web and app data, and data lakes can all be brought into Data Cloud. This captures the platform’s ability to connect to CRM data, on‑premises or legacy databases and systems, digital interaction streams, and stored data in data lakes, then unify them for analysis and governance. In practice, ingestion can happen via automated connectors, APIs, batch loads, or streaming pipelines, giving you continuous or scheduled access to diverse data. The other options fall short because they imply limits that aren’t true: data ingestion isn’t limited to data lakes; it doesn’t require manual file uploads only; and Data Cloud can ingest data from external sources, including Salesforce and other systems.

Data Cloud ingestion is built to pull in data from a wide range of sources using multiple methods, not just one path. The best statement reflects this breadth by noting that data from Salesforce, legacy systems, web and app data, and data lakes can all be brought into Data Cloud. This captures the platform’s ability to connect to CRM data, on‑premises or legacy databases and systems, digital interaction streams, and stored data in data lakes, then unify them for analysis and governance. In practice, ingestion can happen via automated connectors, APIs, batch loads, or streaming pipelines, giving you continuous or scheduled access to diverse data.

The other options fall short because they imply limits that aren’t true: data ingestion isn’t limited to data lakes; it doesn’t require manual file uploads only; and Data Cloud can ingest data from external sources, including Salesforce and other systems.

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