Yes,  FeatureStoreClient().score_batch supports multidimensional predictions. However, the DataFrame you provide to FeatureStoreClient.score_batch must contain a timestamp column with the same name and DataType as the timestamp_lookup_key of the FeatureLookup provided to FeatureStoreClient.create_training_set.

(Check https://docs.databricks.com/machine-learning/feature-store/time-series.html)

PS: Check #DAIS2023 talks!