**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...
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.
Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.
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.
This answer is partially locked
Unlock the full expert answer with code examples and trade-offs
Practice real interviews with AI feedback, track progress, and get interview-ready faster.
Pro starts at $24/mo - cancel anytime
Get the most asked SQL questions with expert answers. Instant download.
No spam. Unsubscribe anytime.
Paste your answer and get instant AI feedback with a FAANG-level improved version.
Analyze My Answer — FreeAccording to DataEngPrep.tech, this is one of the most frequently asked Cloud/Tools interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.