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What is the general relationship between "automated testing" (unit tests, integration tests) and Continuous Integration — why is CI generally considered most valuable/effective when paired with a solid automated test suite?
Questions in this quiz
What is the general relationship between "automated testing" (unit tests, integration tests) and Continuous Integration — why is CI generally considered most valuable/effective when paired with a solid automated test suite?
What is "Continuous Integration" (CI), as a software engineering practice?
What is a reasonable general summary of why "small, frequent commits/merges" is considered a best practice specifically FOR effective Continuous Integration, beyond just being a general good coding habit?
What problem did Continuous Integration originally emerge to solve, particularly around the historical practice of "merge hell" or "integration hell"?
What is a "hermetic build" (or the general principle of build reproducibility) in the context of CI, and why is it valuable?
What is a general reason a CI pipeline might specifically be configured to run in a fresh, isolated environment (like a clean container or VM) for every single build, rather than reusing the same persistent environment across multiple builds?
What is a general reason a team might specifically configure their CI pipeline to run different sets of checks depending on context — e.g. a fast subset of tests on every single commit, versus a fuller, more comprehensive (and slower) test suite run less frequently (like nightly, or only before a release)?
What is a reasonable way to think about the relationship between Continuous Integration and the broader goal of enabling Continuous Delivery/Deployment (CD)?
What is a general reason a team might configure their CI pipeline to run automated tests against MULTIPLE different environment configurations (like several language runtime versions, or several supported operating systems) via a build matrix, rather than just one single, fixed configuration?
What is "build time" (how long a CI pipeline takes to complete) a practical concern for, and what tradeoff/consideration does a slow CI pipeline introduce for a development team?
What is the purpose of running a CI pipeline against a "pull request" (or "merge request") BEFORE it's actually merged into the main branch, rather than only running CI after the merge has already happened?
What is a "trunk-based development" workflow, and how does it relate to (and support) effective Continuous Integration practice?