Which two statements about CRM Analytics datasets are correct?

The correct choice asserts that when CRM Analytics loads dates into a dataset, it breaks each date into multiple fields based on the calendar year. This statement accurately reflects how CRM Analytics processes date fields. By breaking down dates into multiple components—such as year, month, and day—it allows for more granular analysis and reporting capabilities, which can be particularly useful when conducting time-based analyses or visualizing trends over specific periods.

This breakdown enhances the dataset’s usability, making it easier for analysts to filter and segment data by various time components. Consequently, users can perform more detailed queries and generate insights related to particular aspects of their data timeline.

Regarding other options, while datasets can indeed incorporate data from related Salesforce objects, CRM Analytics does not impose a requirement to specify default values when loading data, and the user interface allows for the creation of datasets from various sources, including but not limited to external .csv files. Each of these choices introduces misconceptions about the flexibility and features of CRM Analytics datasets.