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How do you deploy from a development environment to QA and production?

System Design/Architectureeasy0.2 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in System Design/Architecture
Difficulty Split
15E|6M|158H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Infosys
Interview Pro Tip

Pro-Move: 'dbt runs in CI against dev; QA has copy of prod data subset. Prod deploy requires 2 approvers + runbook.'

Expert AnswerPremium
47 wordsInterview-ready
**Pipeline**: CI/CD (GitLab, GitHub Actions) on merge. Stages: dev (PR/merge), QA (release branch), prod (approval/canary). Build once; promote artifacts (Docker, dbt). Env-specific config (vars, ConfigMaps). Tests per stage; integration in QA. For data: separate DBs; versioned migrations; dbt target....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Infosys. The answer also includes follow-up discussion points that interviewers commonly explore.

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According to DataEngPrep.tech, this is one of the most frequently asked System Design/Architecture 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.

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