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Microsoft DP-700 Practice Test 6

Question 50

A team wants reviewable promotion from Test to Production without editing production notebooks by hand. What workflow is appropriate?

  1. Promote the tested item definitions through the deployment pipeline after approval.
  2. Inspect dependency binding and supported autobinding behavior for the promoted items.
  3. Define the needed deployment order and post-deployment dependency validation in the release process.
  4. Promote the Development workspace directly to Production, skipping the approved Test workspace.

Explanation

Correct Answer

A:

Promoting a tested version reduces untracked direct production edits and retains stage visibility. Compare deployed definitions with the approved Test stage.

Incorrect Answers

B:

Fabric deployment can rebind supported dependencies, but not every cross-workspace reference resolves automatically.

C:

Successful item copying does not imply every downstream prerequisite or connection is ready for execution.

D:

Skipping the validated Test stage contradicts the required reviewed Test-to-Production promotion and can bypass approval and environment-specific rules. Compare deployed definitions with the approved Test stage.

Question 51

Only one updated data pipeline should be deployed; unrelated drafts must stay in Development. What should the operator select?

  1. Apply supported stage-specific parameterization or deployment rules during promotion.
  2. Use selective deployment for the intended supported pipeline item.
  3. Inspect dependency binding and supported autobinding behavior for the promoted items.
  4. Use a Fabric deployment pipeline to promote from Development to Test.

Explanation

Correct Answer

B:

Selective promotion reduces accidental release of unfinished artifacts when the deployment tooling and item type support it. Review the selected-item preview before deploying.

Incorrect Answers

A:

Promotion must account for environment-specific references and credentials; copying the definition blindly can point Test code to production resources.

C:

Fabric deployment can rebind supported dependencies, but not every cross-workspace reference resolves automatically.

D:

A deployment pipeline defines stages and supports controlled promotion of Fabric items between workspaces.

Question 52

A workspace is associated with the wrong deployment stage. Which configuration must be fixed?

  1. Define the needed deployment order and post-deployment dependency validation in the release process.
  2. Assign the correct workspace to the intended deployment pipeline stage.
  3. Use a Fabric deployment pipeline to promote from Development to Test.
  4. Apply supported stage-specific parameterization or deployment rules during promotion.

Explanation

Correct Answer

B:

A deployment stage is a workspace mapping; renaming an item does not change where pipeline promotion writes it. Verify Development, Test, and Production workspace associations.

Incorrect Answers

A:

Successful item copying does not imply every downstream prerequisite or connection is ready for execution.

C:

A deployment pipeline defines stages and supports controlled promotion of Fabric items between workspaces.

D:

Promotion must account for environment-specific references and credentials; copying the definition blindly can point Test code to production resources.

Question 53

A release requires a linked item to exist before a dependent operation runs. What should the team design?

  1. Apply supported stage-specific parameterization or deployment rules during promotion.
  2. Use selective deployment for the intended supported pipeline item.
  3. Use a Fabric deployment pipeline to promote from Development to Test.
  4. Define the needed deployment order and post-deployment dependency validation in the release process.

Explanation

Correct Answer

D:

Successful item copying does not imply every downstream prerequisite or connection is ready for execution. Execute dependency smoke checks in the target stage.

Incorrect Answers

A:

Promotion must account for environment-specific references and credentials; copying the definition blindly can point Test code to production resources.

B:

Selective promotion reduces accidental release of unfinished artifacts when the deployment tooling and item type support it.

C:

A deployment pipeline defines stages and supports controlled promotion of Fabric items between workspaces.

Question 54

A Spark environment has staged Git changes to libraries but notebooks still run old versions. What completes the change?

  1. Publish the synchronized Fabric environment before new notebook sessions use it.
  2. Pin the tested environment definition and retain a previous reviewed source revision for redeployment.
  3. Replace the copied custom pool reference with a valid destination-workspace pool or starter pool.
  4. Verify that the notebook is attached to the intended published environment in the target workspace.

Explanation

Correct Answer

A:

Git-synced environment definitions can remain staged until published; a repository commit is not the same as activating a runtime configuration. Inspect the published environment version and session libraries.

Incorrect Answers

B:

Versioning the runtime and dependencies enables deliberate rollback to a known configuration rather than relying on memory of portal settings.

C:

Custom Spark pools are workspace-scoped, so unchanged source pool identifiers may not exist in the promoted workspace.

D:

A valid environment definition does not ensure every notebook references or inherits it correctly after promotion.

Question 55

A Fabric environment moves to another workspace and its custom pool ID no longer resolves. What should the team correct?

  1. Replace the copied custom pool reference with a valid destination-workspace pool or starter pool.
  2. Track supported environment settings with Git and promote the published environment through deployment pipelines.
  3. Pin the tested environment definition and retain a previous reviewed source revision for redeployment.
  4. Publish and validate the environment on a test notebook before changing the default assignment.

Explanation

Correct Answer

A:

Custom Spark pools are workspace-scoped, so unchanged source pool identifiers may not exist in the promoted workspace. Launch a test Spark session against the resolved pool.

Incorrect Answers

B:

Environment Git integration and deployment workflows control supported definitions across stages without repeated manual library entry.

C:

Versioning the runtime and dependencies enables deliberate rollback to a known configuration rather than relying on memory of portal settings.

D:

A controlled test prevents unreviewed package versions from becoming the baseline for every new job.

Question 56

A team wants a reviewed Spark library list reproduced in Development, Test, and Production. Which combination supports it?

  1. Verify that the notebook is attached to the intended published environment in the target workspace.
  2. Publish and validate the environment on a test notebook before changing the default assignment.
  3. Track supported environment settings with Git and promote the published environment through deployment pipelines.
  4. Replace the copied custom pool reference with a valid destination-workspace pool or starter pool.

Explanation

Correct Answer

C:

Environment Git integration and deployment workflows control supported definitions across stages without repeated manual library entry. Compare library names and versions in each published stage.

Incorrect Answers

A:

A valid environment definition does not ensure every notebook references or inherits it correctly after promotion.

B:

A controlled test prevents unreviewed package versions from becoming the baseline for every new job.

D:

Custom Spark pools are workspace-scoped, so unchanged source pool identifiers may not exist in the promoted workspace.

Question 57

A developer changed an environment only in the portal and wants the change included in the next Git release. What should they do?

  1. Track supported environment settings with Git and promote the published environment through deployment pipelines.
  2. Pin the tested environment definition and retain a previous reviewed source revision for redeployment.
  3. Publish and validate the environment on a test notebook before changing the default assignment.
  4. Commit supported environment-definition changes from the Fabric workspace to Git.

Explanation

Correct Answer

D:

Uncommitted portal changes are not necessarily in the repository snapshot used for promotion. Inspect the commit's environment configuration diff.

Incorrect Answers

A:

Environment Git integration and deployment workflows control supported definitions across stages without repeated manual library entry.

B:

Versioning the runtime and dependencies enables deliberate rollback to a known configuration rather than relying on memory of portal settings.

C:

A controlled test prevents unreviewed package versions from becoming the baseline for every new job.

Question 58

A new environment contains untested dependencies that must not replace the workspace default. What is the safe rollout?

  1. Pin the tested environment definition and retain a previous reviewed source revision for redeployment.
  2. Replace the copied custom pool reference with a valid destination-workspace pool or starter pool.
  3. Publish and validate the environment on a test notebook before changing the default assignment.
  4. Commit supported environment-definition changes from the Fabric workspace to Git.

Explanation

Correct Answer

C:

A controlled test prevents unreviewed package versions from becoming the baseline for every new job. Compare test results before updating the workspace default.

Incorrect Answers

A:

Versioning the runtime and dependencies enables deliberate rollback to a known configuration rather than relying on memory of portal settings.

B:

Custom Spark pools are workspace-scoped, so unchanged source pool identifiers may not exist in the promoted workspace.

D:

Uncommitted portal changes are not necessarily in the repository snapshot used for promotion.

Question 59

An environment's library list is correct in Git but a dependent notebook fails after deployment. Which dependency relationship should be checked?

  1. Verify that the notebook is attached to the intended published environment in the target workspace.
  2. Publish and validate the environment on a test notebook before changing the default assignment.
  3. Track supported environment settings with Git and promote the published environment through deployment pipelines.
  4. Pin the tested environment definition and retain a previous reviewed source revision for redeployment.

Explanation

Correct Answer

A:

A valid environment definition does not ensure every notebook references or inherits it correctly after promotion. Inspect notebook environment selection and runtime imports.

Incorrect Answers

B:

A controlled test prevents unreviewed package versions from becoming the baseline for every new job.

C:

Environment Git integration and deployment workflows control supported definitions across stages without repeated manual library entry.

D:

Versioning the runtime and dependencies enables deliberate rollback to a known configuration rather than relying on memory of portal settings.

Question 60

A release introduces a new Spark runtime and must allow rollback. Which practice best preserves recovery?

  1. Replace the copied custom pool reference with a valid destination-workspace pool or starter pool.
  2. Publish and validate the environment on a test notebook before changing the default assignment.
  3. Pin the tested environment definition and retain a previous reviewed source revision for redeployment.
  4. Verify that the notebook is attached to the intended published environment in the target workspace.

Explanation

Correct Answer

C:

Versioning the runtime and dependencies enables deliberate rollback to a known configuration rather than relying on memory of portal settings. Rebuild a test session from the prior approved revision.

Incorrect Answers

A:

Custom Spark pools are workspace-scoped, so unchanged source pool identifiers may not exist in the promoted workspace.

B:

A controlled test prevents unreviewed package versions from becoming the baseline for every new job.

D:

A valid environment definition does not ensure every notebook references or inherits it correctly after promotion.

Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) Practice Tests