A data analyst is trying to apply a series of complex conditions to filter audiences in Adobe Real-Time CDP for a client's online sale event. What would be the two recommended courses of action in terms of segment creation in this situation? (Choose two.)

Rule-based segments in Segment Builder allow chaining multiple logical conditions, while batch-evaluation segments support complex expressions and extended look-back windows—ideal for intricate filters needed for a sale event audience.

B. Audience Export merely transfers existing audiences; it does not create or evaluate complex real-time logic.
C. Computed attributes aggregate metrics but don’t themselves filter multiple complex conditions; they can be inputs, not full segment strategies.

1. Segment Builder UI – “Rule-based segments enable combining several logical operators for sophisticated audience definitions.” (Docs › Segmentation › Segment Builder, Rules section)

2. Segmentation Best Practices – “For complex expressions or long look-back periods, create batch-evaluation segments.” (Experience League, Best-Practices, bullet ‘Batch’)

3. Computed Attributes Guide – “Computed attributes summarize event data; use them inside segments but they do not replace segmentation logic.” (Docs › Profile › Computed Attributes, Overview)