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DP-600 · Practice set 6 of 8

Deployment Pipelines: 10 practice questions

10 questions · Untimed · Free

10 free DP-600 practice questions on Deployment Pipelines, with an explanation for every answer. Untimed. The full mock exam and the timed version are in the app.

Set 6 · Deployment Pipelines · 10 questions Read the lesson

  1. Question 1 of 10

    Which stages appear in a default Microsoft Fabric deployment pipeline?

    1. ASource, Transform, and Destination
    2. BDraft, Review, and Published
    3. CDevelopment, Test, and Production
    4. DLocal, Repository, and Workspace
    Show the answer

    The default promotion path separates active authoring, validation, and approved business use into Development, Test, and Production.

    Next → 1 / 10

  2. Question 2 of 10

    What does each deployment pipeline stage map to?

    1. AA separate Fabric or Premium workspace
    2. BA separate Git repository and provider
    3. CA separate Power BI project folder
    4. DA separate TMDL model object
    Show the answer

    Stages represent environments by assigning a separate eligible workspace to each one; deployment copies selected content between those workspaces.

    Next → 2 / 10

  3. Question 3 of 10

    Which two deployment rule types configure values for different stages?

    1. AData source rules and parameter rules
    2. BTMDL rules and PBIR rules
    3. CCommit rules and branch rules
    4. DRefresh rules and lineage rules
    Show the answer

    Data source rules substitute connection details, while parameter rules substitute Power BI parameter values during deployment.

    Next → 3 / 10

  4. Question 4 of 10

    Which capacity requirement applies when assigning workspaces to pipeline stages?

    1. AEach workspace must use Fabric or Premium capacity
    2. BEach workspace must use a separate Git provider
    3. CEach workspace must use the same data source
    4. DEach workspace must contain a Power BI project
    Show the answer

    Stage assignment requires eligible Fabric or Premium capacity; repository provider, project format, and identical connections are separate concerns.

    Next → 4 / 10

  5. Question 5 of 10

    When does a deployment rule replace a configured value?

    1. ADuring pipeline deployment to the target stage
    2. BDuring a Git commit from the source workspace
    3. CDuring an initial repository synchronization
    4. DDuring local project saving in Power BI Desktop
    Show the answer

    A deployment rule is evaluated as content moves between stages and leaves the source item unchanged.

    Next → 5 / 10

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  7. Question 6 of 10

    What should you do after changing a deployment rule that was already configured?

    1. ACommit the rule as a TMDL model definition
    2. BRecreate every stage with another workspace
    3. CRedeploy the content to apply the updated rule
    4. DRun Update all to modify the source item
    Show the answer

    Because rules take effect during deployment, a later rule change reaches the target only when the content is deployed again.

    Next → 6 / 10

  8. Question 7 of 10

    How does the pipeline comparison identify content that differs between stages?

    1. AIt marks the item with a synced status
    2. BIt marks the item with a green icon
    3. CIt marks the item with an orange icon
    4. DIt marks the item with a branch name
    Show the answer

    The comparison uses orange for differences, green for identical items, and a new indicator for source-only items.

    Next → 7 / 10

  9. Question 8 of 10

    Development must connect to a test database, while Production must connect to the live database. Which configuration should you use?

    1. AA parameter rule that renames each pipeline stage
    2. BA Git branch that rewrites the source item manually
    3. CA data source rule for each target stage
    4. DA PBIR file that replaces the database connection
    Show the answer

    A data source rule substitutes the server, database, or connection path during deployment without modifying the source item.

    Next → 8 / 10

  10. Question 9 of 10

    A `MaxRows` Power BI parameter should be 1,000 in Development and unlimited in Production. Which rule matches the requirement?

    1. AA comparison rule that changes orange icons to green
    2. BA parameter rule with a value for each stage
    3. CA Git update that edits the source for each deployment
    4. DA data source rule with a different branch folder
    Show the answer

    Parameter rules override Power BI parameter values by stage, allowing the same source item to receive different `MaxRows` values during deployment.

    Next → 9 / 10

  11. Question 10 of 10

    A semantic model has passed validation, but a report in the same Development stage is unfinished. What should the release lead do?

    1. ADeploy every item from Development to Test
    2. BCommit both items to Git instead of deploying
    3. CSelectively deploy the semantic model to Test
    4. DMove the unfinished report directly to Production
    Show the answer

    Selective deployment lets ready and unfinished items progress at different speeds, so only the validated semantic model should advance.

    Next → 10 / 10

  12. You’ve finished this set

    That’s 10 questions on Deployment Pipelines. In the app the ones you miss come back exactly when you’re about to forget them.

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