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Home/Questions/Cloud/Tools/What are common issues faced with REST APIs in ADF, and how do you resolve them?

What are common issues faced with REST APIs in ADF, and how do you resolve them?

Cloud/Toolseasy0.6 min readPremium

**Common issues**: (1) **Pagination**—APIs return partial results; need loop. Use Until activity with Copy/REST call; pass nextToken in request. (2) **Rate limiting**—429 responses. Use retry policy with exponential backoff. (3) **Auth**—OAuth tokens expire. Use Web activity to...

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Frequency
Low
Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Virtusa

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This easy-level Cloud/Tools question appears frequently in data engineering interviews at companies like Virtusa. While less common, it tests deeper understanding that distinguishes strong candidates.

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Expert Answer
121 words

Common issues: (1) Pagination—APIs return partial results; need loop. Use Until activity with Copy/REST call; pass nextToken in request. (2) Rate limiting—429 responses. Use retry policy with exponential backoff. (3) Auth—OAuth tokens expire. Use Web activity to get token; pass to Copy. (4) Large responses—timeout or memory. Enable pagination; write to staging. (5) Schema drift—columns change. Use schema-less sink or dynamic mapping. Resolution patterns: Until loop for pagination; retry with backoff; parameterize auth in linked service. For token refresh, use Web activity + Set variable. Scalability: High request volume can hit API limits—batch or use bulk endpoints. Cost: REST Copy uses IR; many small calls = more IR time. Best practice: Document API behavior; handle 429/401 in retry; validate response shape.

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