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Azure Data Factory can be used to eliminate particular columns in several ways:

1. Using Select and Filter activities: The Select activity can be used to choose the columns to include in the output dataset, and the Filter activity can be used to remove particular columns based on a condition.

2. Using Mapping Data Flows: Mapping Data Flows offer advanced transformations that can be used to eliminate columns. The Select and Filter transformations can be used to eliminate particular columns as required.

3. Using SQL transformation: SQL transformation can be used to write SQL statements that remove specific columns from the output dataset.

4. Using Custom code: Custom code can be written using Python or C# to process the data and eliminate particular columns based on requirements.