DATABRICKS-MLP Question 72

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose B0

  - Correct answer : B — Development supports exploratory work without strict access controls, while staging hosts the full testing suite before production. A . Development and production are described as distinct environments with different access controls and purposes, and staging's defining role is to run the full automated test suite, not just manual sign-off. B . The development environment is where data scientists experiment with models and pipelines without strict access controls, while staging is designed to mirror production as closely as feasible and is where the complete testing suite runs before promotion. C . Running the full testing suite in production would mean validating code against live production traffic without the staging gate that exists specifically to catch defects before they reach production. D . Staging is where the automated unit and integration test suite is described as running, not development; development is oriented toward exploratory work, not the formal test suite.