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Terraformcloud~10 mins

Drift detection in CI/CD in Terraform - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to initialize Terraform before running drift detection.

Terraform
terraform [1]
Drag options to blanks, or click blank then click option'
Ainit
Bapply
Cplan
Ddestroy
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'apply' before initialization causes errors.
Confusing 'plan' with initialization.
2fill in blank
medium

Complete the code to create a Terraform plan that detects drift without applying changes.

Terraform
terraform [1] -detailed-exitcode
Drag options to blanks, or click blank then click option'
Avalidate
Bapply
Cplan
Ddestroy
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'apply' applies changes instead of detecting drift.
Using 'destroy' removes resources, not detecting drift.
3fill in blank
hard

Fix the error in the command to detect drift by returning a detailed exit code.

Terraform
terraform plan [1] -detailed-exitcode
Drag options to blanks, or click blank then click option'
A-auto-approve
B-refresh=true
C-refresh=false
D-input=false
Attempts:
3 left
💡 Hint
Common Mistakes
Using '-refresh=false' disables state refresh, missing drift.
Using '-auto-approve' is for apply, not plan.
4fill in blank
hard

Fill both blanks to create a CI/CD step that runs drift detection and fails if drift is found.

Terraform
terraform [1] -detailed-exitcode || exit [2]
Drag options to blanks, or click blank then click option'
Aplan
Bapply
C1
D0
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'apply' applies changes instead of detecting drift.
Exiting with 0 means success even if drift exists.
5fill in blank
hard

Fill all three blanks to define a Terraform workflow step that initializes, refreshes state, and detects drift.

Terraform
terraform [1] && terraform plan [2] -detailed-exitcode || exit [3]
Drag options to blanks, or click blank then click option'
Ainit
B-refresh=true
C1
D-auto-approve
Attempts:
3 left
💡 Hint
Common Mistakes
Skipping initialization causes errors.
Not refreshing state misses drift detection.
Exiting with 0 ignores drift.

Practice

(1/5)
1. What is the main purpose of drift detection in a Terraform CI/CD pipeline?
easy
A. To find differences between the Terraform code and the actual infrastructure
B. To speed up the deployment process by skipping validation
C. To automatically delete unused resources without approval
D. To generate documentation for the infrastructure

Solution

  1. Step 1: Understand drift detection concept

    Drift detection compares the current real infrastructure state with the Terraform code to find differences.
  2. Step 2: Identify the purpose in CI/CD

    In CI/CD, drift detection helps catch unexpected changes before applying new updates.
  3. Final Answer:

    To find differences between the Terraform code and the actual infrastructure -> Option A
  4. Quick Check:

    Drift detection = find differences [OK]
Hint: Drift detection = spot differences before apply [OK]
Common Mistakes:
  • Thinking drift detection speeds deployment
  • Assuming it deletes resources automatically
  • Confusing it with documentation generation
2. Which Terraform command is commonly used in CI/CD pipelines to detect drift before applying changes?
easy
A. terraform plan
B. terraform apply
C. terraform init
D. terraform destroy

Solution

  1. Step 1: Recall Terraform commands

    terraform plan shows the changes Terraform will make without applying them.
  2. Step 2: Identify drift detection command

    terraform plan detects differences (drift) between code and real infrastructure before apply.
  3. Final Answer:

    terraform plan -> Option A
  4. Quick Check:

    Detect drift = terraform plan [OK]
Hint: Use terraform plan to preview changes [OK]
Common Mistakes:
  • Using terraform apply which changes infrastructure
  • Confusing terraform init with drift detection
  • Using terraform destroy which deletes resources
3. Given the following Terraform plan output snippet in a CI/CD pipeline:
  # aws_instance.example will be updated in-place
  ~ tags = {
      - "Environment" = "dev"
      + "Environment" = "prod"
    }

What does this output indicate about drift?
medium
A. Terraform will ignore the tag change
B. The instance will be destroyed and recreated
C. No drift is detected; tags remain unchanged
D. The tag "Environment" has drifted from "dev" to "prod" and will be updated

Solution

  1. Step 1: Analyze the plan output

    The '~' symbol means in-place update. The tag "Environment" changes from "dev" to "prod".
  2. Step 2: Understand drift implication

    This shows drift: the real infrastructure tag differs from code and will be updated.
  3. Final Answer:

    The tag "Environment" has drifted from "dev" to "prod" and will be updated -> Option D
  4. Quick Check:

    ~ means update tag from dev to prod [OK]
Hint: Look for ~ symbol to spot in-place updates [OK]
Common Mistakes:
  • Thinking resource will be destroyed instead of updated
  • Ignoring tag changes as no drift
  • Assuming Terraform ignores tag differences
4. You run terraform plan in your CI/CD pipeline but it does not detect drift even though manual changes were made outside Terraform. What is the most likely cause?
medium
A. Terraform automatically ignores manual changes
B. You forgot to run terraform apply first
C. Terraform state file is outdated or corrupted
D. The provider plugin is missing

Solution

  1. Step 1: Understand drift detection dependency

    Terraform relies on the state file to compare real infrastructure with code.
  2. Step 2: Identify cause of missed drift

    If the state file is outdated or corrupted, Terraform cannot detect manual changes (drift).
  3. Final Answer:

    Terraform state file is outdated or corrupted -> Option C
  4. Quick Check:

    State file outdated = missed drift detection [OK]
Hint: Check state file freshness if drift not detected [OK]
Common Mistakes:
  • Assuming terraform apply affects drift detection
  • Believing Terraform ignores manual changes by design
  • Thinking missing provider causes drift detection failure
5. In a CI/CD pipeline, you want to automatically detect drift and fail the pipeline if any drift is found before applying changes. Which approach best achieves this?
hard
A. Run terraform apply directly and rely on errors to detect drift
B. Run terraform plan and parse its output to detect changes, then fail if changes exist
C. Skip drift detection and always apply changes
D. Manually check infrastructure outside the pipeline

Solution

  1. Step 1: Understand CI/CD drift detection goal

    The goal is to detect drift and fail early before applying changes.
  2. Step 2: Choose correct command and method

    terraform plan shows drift without applying; parsing its output allows pipeline to fail if drift exists.
  3. Step 3: Evaluate other options

    Applying directly risks unwanted changes; manual checks are slow; skipping detection is unsafe.
  4. Final Answer:

    Run terraform plan and parse its output to detect changes, then fail if changes exist -> Option B
  5. Quick Check:

    Plan + parse output = fail on drift [OK]
Hint: Use terraform plan output to gate pipeline success [OK]
Common Mistakes:
  • Applying without checking drift first
  • Relying on manual checks in automated pipelines
  • Ignoring drift detection to speed up deploys