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In the context of multimodal data analysis, which of the following statements accurately describe the challenges associated with data alignment?
Correct Answer: A,C
Data alignment is crucial for ensuring that information from different modalities is correctly associated with the same event or entity. Misalignment can lead to incorrect relationships being learned by the model, resulting in poor performance. Data alignment is necessary for various types of multimodal data, not just time-series data. Perfect alignment is often difficult to achieve due to inherent noise and limitations in data collection. Deep learning models are also susceptible to issues caused by data misalignment.