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Deploying DAGs

Spark/Big Dataeasy0.3 min readPremium
Frequency
Low
Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Verizon
Key Concepts Tested
airflowpython
Expert AnswerPremium
67 wordsInterview-ready
**Why deployment matters**: DAGs in Git = audit, rollback, CI/CD. **Process**: Place DAGs in `dags/` folder; Airflow scans periodically. Use CI/CD to sync from Git. Ensure Python deps in worker image. **Scalability trade-offs**: Large DAG folder = scan time; DAG processor parallelism. **Cost implications**: Manual deploy = error-prone; CI/CD = reliability....
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