What evaluation type is allowed for daily data brought in from CRM and Data Lake sources?

Batch evaluation is the correct choice for handling daily data brought in from CRM and Data Lake sources. This evaluation type is designed to process large volumes of data at once, making it well-suited for scenarios where data is collected and processed in bulk rather than continuously.

In the context of Adobe Experience Platform, batch evaluations are typically used for regularly scheduled data imports. This aligns with the nature of CRM and Data Lake sources, which often provide data at intervals (e.g., daily) rather than in real-time. By employing batch evaluations, organizations can ensure that they effectively manage their datasets and derive insights from comprehensive analyses of the data collected over a 24-hour period.

Real-time evaluation focuses on analyzing data as it arrives, which is not the case for daily data imports. Snapshot evaluation is used for making point-in-time analyses but is not specifically aligned with regular or scheduled data influx. Dynamic evaluation refers to evaluations that change in response to ongoing data changes, which also does not align with the structured nature of daily data brought in from static sources like CRM and Data Lake.