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Artifacts and VersioningLesson 14 of 32

Set Up and Explore Artifacts and Versioning in Continuous Integration and Delivery

Explore Artifacts and Versioning in a minimal environment and record the baseline, valid case, and boundary or failure signal. This is an exploration lesson: establish a baseline and use the native tool or runtime to make the module visible before you build a larger feature.

25 min Practitioner Artifacts and VersioningReviewed 2026-08-07
Learning objectives

What you will learn

  • Explore Artifacts and Versioning in a minimal environment and record the baseline, valid case, and boundary or failure signal.
  • Produce or inspect a baseline and boundary observation log for Artifacts and Versioning verified with the module-specific command, output, test, rendered state, query result, log, or measurement that proves the exercise worked.
  • Verify the result with the module-specific command, output, test, rendered state, query result, log, or measurement that proves the exercise worked.
Before you start

What you need

  • Open a small local project or disposable lab environment.
  • Confirm the runtime, toolchain, or service needed for the module.
  • Prepare one valid input and one invalid or boundary input.

Prepare the exploration workspace

For Artifacts and Versioning, begin from this setup requirement: Open a small local project or disposable lab environment. Apply it in this path context: Use pipeline triggers, build/test jobs, dependency caches, signed/versioned artifacts, supply-chain checks, deployment strategies, configuration changes, monitoring, rollback, and recovery evidence.

  1. 1

    Open a small local project or disposable lab environment.

  2. 2

    Confirm the runtime, toolchain, or service needed for the module.

  3. 3

    Prepare one valid input and one invalid or boundary input.

Record the baseline

For Artifacts and Versioning, record a baseline that can later be compared with the module-specific command, output, test, rendered state, query result, log, or measurement that proves the exercise worked. Keep the observation grounded in this path context: Use pipeline triggers, build/test jobs, dependency caches, signed/versioned artifacts, supply-chain checks, deployment strategies, configuration changes, monitoring, rollback, and recovery evidence.

Keep the baseline reproducible before changing anything.

Inspect the mechanism directly

Prepare the smallest realistic environment for Artifacts and Versioning, then inspect one valid case through this implementation lens: Use pipeline triggers, build/test jobs, dependency caches, signed/versioned artifacts, supply-chain checks, deployment strategies, configuration changes, monitoring, rollback, and recovery evidence.

Choose an inspection method that exposes the Artifacts and Versioning boundary directly. Start from Trigger/stages and isolated jobs. and use this path context: Use pipeline triggers, build/test jobs, dependency caches, signed/versioned artifacts, supply-chain checks, deployment strategies, configuration changes, monitoring, rollback, and recovery evidence.

Technical exampletext
Open a small local project or disposable lab environment.
Confirm the runtime, toolchain, or service needed for the module.
Prepare one valid input and one invalid or boundary input.
Run or inspect
Review the exploration checklist and perform it with the native tool for the module.
Expected evidence
A recorded baseline tied to the module-specific setup and evidence.
Practice workspace
practice/\n├── README.md\n├── artifacts-and-versioning-exploration.txt\n└── evidence/\n    └── expected-result.txt
Challenge

Apply Artifacts and Versioning

Explore Artifacts and Versioning in a minimal environment and record the baseline, valid case, and boundary or failure signal.

  • Use the lesson-specific technical example as a reference, not a copy.
  • Change one condition that matters to Artifacts and Versioning.
  • Verify the result with the module-specific command, output, test, rendered state, query result, log, or measurement that proves the exercise worked.

Try one boundary case

Change one input or state that matters to Artifacts and Versioning within this path context: Use pipeline triggers, build/test jobs, dependency caches, signed/versioned artifacts, supply-chain checks, deployment strategies, configuration changes, monitoring, rollback, and recovery evidence. Predict the result before rerunning the check.

Record expected and observed results; isolate one mismatch at a time.

Decide whether the setup is ready

The Artifacts and Versioning environment is ready when you can reproduce the module-specific command, output, test, rendered state, query result, log, or measurement that proves the exercise worked and explain the first relevant boundary condition in this context: Use pipeline triggers, build/test jobs, dependency caches, signed/versioned artifacts, supply-chain checks, deployment strategies, configuration changes, monitoring, rollback, and recovery evidence.

Verification checklist
  • Baseline captured.
  • Valid case reproduced.
  • Boundary or invalid case observed.
  • Module-specific inspection method identified.
Hands-on practice

Practice Artifacts and Versioning

Prepare the smallest realistic environment for Artifacts and Versioning, then inspect one valid case through this implementation lens: Use pipeline triggers, build/test jobs, dependency caches, signed/versioned artifacts, supply-chain checks, deployment strategies, configuration changes, monitoring, rollback, and recovery evidence.

  1. 1

    Write the expected result before starting.

  2. 2

    Prepare the smallest realistic environment for Artifacts and Versioning, then inspect one valid case through this implementation lens: Use pipeline triggers, build/test jobs, dependency caches, signed/versioned artifacts, supply-chain checks, deployment strategies, configuration changes, monitoring, rollback, and recovery evidence.

  3. 3

    Record the module-specific command, output, test, rendered state, query result, log, or measurement that proves the exercise worked and explain whether it matches the expectation.

Interactive practice

Practice what you learned

Exercises are optional for lesson completion and contribute to a separate Practice Mastery score.

Practice Mastery0%
Exercise A · Core Check40% base masteryyaml

Core Check: Set Up and Explore Artifacts and Versioning in Continuous Integration and Delivery

Complete a focused exercise for “Set Up and Explore Artifacts and Versioning in Continuous Integration and Delivery”. Your task is to Build a CI/CD pipeline that creates a versioned artifact from a reproducible dependency set, runs tests and security checks, and promotes database/configuration changes with rollback-aware ordering. Use one concrete example and show evidence that the result is correct.

Verification target: a working artifacts and versioning exercise with a documented technical result

Not completed

    Exercise B · Mini Challenge60% base masteryyaml

    Mini Challenge: Set Up and Explore Artifacts and Versioning in Continuous Integration and Delivery

    Extend “Set Up and Explore Artifacts and Versioning in Continuous Integration and Delivery” into a boundary or failure scenario. Start from this lesson task: Build a CI/CD pipeline that creates a versioned artifact from a reproducible dependency set, runs tests and security checks, and promotes database/configuration changes with rollback-aware ordering. Change one condition that matters, predict the outcome first, then show evidence that confirms or disproves the prediction.

    Verification target: a working artifacts and versioning exercise with a documented technical result

    Not completed

      Common mistakes to avoid

      • Floating dependency changes build result.
      • Artifact rebuilt differently per environment.
      • Migration runs after incompatible app switch.
      • Secret printed in pipeline log.
      Lesson recap

      Key takeaways

      • Explore Artifacts and Versioning in a minimal environment and record the baseline, valid case, and boundary or failure signal.
      • Keep the exercise small enough to explain the important state and decision.
      • Use the module-specific command, output, test, rendered state, query result, log, or measurement that proves the exercise worked rather than successful command completion alone.

      Frequently asked questions

      What should I be able to do before moving on?

      You should be able to explain the purpose of Artifacts and Versioning, build a small example without copying the lesson line by line, and diagnose a basic failure using the relevant tool or error output.

      How much should I build for practice?

      Keep the exercise small enough that you can explain every important input, state change, and output. Add complexity only after the core behavior is reliable.

      Evidence and updates

      Sources and further reading

      1. Store and share data with workflow artifactsGitHub Docs
      2. GitHub Actions documentationGitHub Docs
      3. Supply-chain Levels for Software ArtifactsSLSA
      Finish this lesson

      Ready to continue?

      Mark the lesson complete so your Learning Path progress stays current on this device.