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How do you handle API rate limits in ADF?

Cloud/Toolseasy0.2 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

Strategies: (1) Retry with backoff on activity. (2) Reduce parallelCopies or ForEach batchCount. (3) Wait activity between batches. (4) Stage and process in chunks with delays. (5) Azure Function/Databricks with rate limiting....

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Asked at 1 company
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Expert Answer
43 words

Strategies: (1) Retry with backoff on activity. (2) Reduce parallelCopies or ForEach batchCount. (3) Wait activity between batches. (4) Stage and process in chunks with delays. (5) Azure Function/Databricks with rate limiting. Best practice: Respect limits; exponential backoff; design for throttling; batch APIs.

⚡
Pro Tip

Red Flag: Max parallelism against rate-limited API. Pro-Move: 'We reduced batchCount to 2; retry with 2x backoff—zero 429s in 3 months.'

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