How to implement conditional branches in Azure Data Factory pipelines

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I am implementing a pipeline to insert data updates from csv files to SQL DB. Plan is to first insert the data to temporary SQL table for validation and transformation, and then move processed data to actual SQL table. I would like to branch the pipeline execution depending on the validation result. If data is OK, it will be inserted to target SQL table. If there are fatal fails, insertion activity should be skipped.

Tried to find instructions / guidance but no success so far. Any ideas if pipeline activity supports conditional execution, e.g. based on some properties in input dataset?

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