Preparing Practice Exam…
Please wait a moment while the system generates the exam questions, answers, and study session.
Please wait a moment while the system generates the exam questions, answers, and study session.
Databricks Certified Machine Learning Professional · Databricks
Select one answer.
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
- Correct answer : A — Modules make functions independently testable, unit tests catch function defects early, and staging integration tests confirm the pipeline works as a whole. A . This matches the documented reasoning: modules let Python functions be imported and tested outside notebooks, unit tests are added continuously during development to catch function-level issues early, and staging integration tests run the whole pipeline together to catch cross-stage defects before production. B . Modules, unit tests, and integration tests are distinct concepts serving different purposes, module organization enables testability, unit tests check individual functions, and integration tests check the assembled pipeline, not different names for one activity. C . Unit tests catch function-level defects early and cheaply, which is a meaningful and distinct benefit from integration testing; treating them as having no effect ignores the documented value of catching issues before the more expensive integration stage. D . Modules are a general Python organization pattern, not a Scala-specific requirement; coverage metrics and compliance audits are not the stated reasons for unit or integration testing, which instead exist to catch actual functional defects.