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Microsoft DP-700 Bundle

Exam Code: DP-700

Exam Name Implementing Data Engineering Solutions Using Microsoft Fabric

Certification Provider: Microsoft

Corresponding Certification: Microsoft Certified: Fabric Data Engineer Associate

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

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Microsoft DP-700 Practice Test 8

Question 70

A Fabric warehouse team uses database projects for schema source control. The current environment exhibits the following problem: a production database project deployment has unexpected schema drift. Which action should the team take next?

  1. Compare deployed warehouse objects with the reviewed project baseline
  2. Include reviewed SQL changes in the connected repository and build artifacts
  3. Review the schema comparison and deployment script before applying changes
  4. Represent supported database schema objects in a versioned SQL database project

Explanation

Correct Answer

A:

Compare deployed warehouse objects with the reviewed project baseline. Drift analysis identifies uncontrolled changes outside approved source.

Incorrect Answers

B:

A developer adds a local SQL script but never checks it in. A local-only file does not become part of the controlled release.

C:

A new table change could unintentionally drop production columns. Database project publishing can contain destructive object changes.

D:

A warehouse table definition differs between production and Git. Schema-as-code enables repeatable review and promotion.

Question 71

A team maps deployment pipeline stages to distinct Fabric capacities. An acceptance test shows that developers confuse a deployment stage with an independent security boundary. Which step preserves the intended data behavior?

  1. Validate workspace roles and item data grants separately for each stage
  2. Preserve a reviewed Git commit or exported definition and test rollback
  3. Configure deployment rules or rebind connections for the target environment
  4. Update the supported notebook item binding in the target stage

Explanation

Correct Answer

A:

Validate workspace roles and item data grants separately for each stage. A deployment pipeline organizes promotion but does not automatically enforce all data-level isolation.

Incorrect Answers

B:

A release changes production and no one captured the prior item version. Recovery needs an identified known-good artifact, not merely a successful deployment record.

C:

Production connections refer to development source credentials. Connection configuration needs an explicit production identity and endpoint.

D:

A notebook promotion uses a test Lakehouse as its default after deployment. Deployment does not guarantee all environment-specific references are correct.

Question 72

A team maps deployment pipeline stages to distinct Fabric capacities. The engineer has established the following constraint: production connections refer to development source credentials. Which change most directly resolves this failure?

  1. Update the supported notebook item binding in the target stage
  2. Map deployment stages to the intended separate workspaces before promotion
  3. Configure deployment rules or rebind connections for the target environment
  4. Validate workspace roles and item data grants separately for each stage

Explanation

Correct Answer

C:

Configure deployment rules or rebind connections for the target environment. Connection configuration needs an explicit production identity and endpoint.

Incorrect Answers

A:

A notebook promotion uses a test Lakehouse as its default after deployment. Deployment does not guarantee all environment-specific references are correct.

B:

A pipeline has not been assigned the right production workspace. Stage association controls which workspace receives deployed definitions.

D:

Developers confuse a deployment stage with an independent security boundary. A deployment pipeline organizes promotion but does not automatically enforce all data-level isolation.

Question 73

A team maps deployment pipeline stages to distinct Fabric capacities. During an operations handoff, engineers find that a notebook promotion uses a test Lakehouse as its default after deployment. What is the best engineering response?

  1. Validate workspace roles and item data grants separately for each stage
  2. Update the supported notebook item binding in the target stage
  3. Configure deployment rules or rebind connections for the target environment
  4. Map deployment stages to the intended separate workspaces before promotion

Explanation

Correct Answer

B:

Update the supported notebook item binding in the target stage. Deployment does not guarantee all environment-specific references are correct.

Incorrect Answers

A:

Developers confuse a deployment stage with an independent security boundary. A deployment pipeline organizes promotion but does not automatically enforce all data-level isolation.

C:

Production connections refer to development source credentials. Connection configuration needs an explicit production identity and endpoint.

D:

A pipeline has not been assigned the right production workspace. Stage association controls which workspace receives deployed definitions.

Question 74

A team maps deployment pipeline stages to distinct Fabric capacities. The team observes that a pipeline has not been assigned the right production workspace. Which action should the team take next?

  1. Validate workspace roles and item data grants separately for each stage
  2. Preserve a reviewed Git commit or exported definition and test rollback
  3. Configure deployment rules or rebind connections for the target environment
  4. Map deployment stages to the intended separate workspaces before promotion

Explanation

Correct Answer

D:

Map deployment stages to the intended separate workspaces before promotion. Stage association controls which workspace receives deployed definitions.

Incorrect Answers

A:

Developers confuse a deployment stage with an independent security boundary. A deployment pipeline organizes promotion but does not automatically enforce all data-level isolation.

B:

A release changes production and no one captured the prior item version. Recovery needs an identified known-good artifact, not merely a successful deployment record.

C:

Production connections refer to development source credentials. Connection configuration needs an explicit production identity and endpoint.

Question 75

A team maps deployment pipeline stages to distinct Fabric capacities. The implementation review confirms that a release changes production and no one captured the prior item version. Which approach best satisfies this requirement?

  1. Preserve a reviewed Git commit or exported definition and test rollback
  2. Map deployment stages to the intended separate workspaces before promotion
  3. Update the supported notebook item binding in the target stage
  4. Configure deployment rules or rebind connections for the target environment

Explanation

Correct Answer

A:

Preserve a reviewed Git commit or exported definition and test rollback. Recovery needs an identified known-good artifact, not merely a successful deployment record.

Incorrect Answers

B:

A pipeline has not been assigned the right production workspace. Stage association controls which workspace receives deployed definitions.

C:

A notebook promotion uses a test Lakehouse as its default after deployment. Deployment does not guarantee all environment-specific references are correct.

D:

Production connections refer to development source credentials. Connection configuration needs an explicit production identity and endpoint.

Question 76

A deployment administrator manages notebook and Dataflow Gen2 item definitions. A scheduled execution exposes this issue: the notebook differs from Git only due to uncommitted development edits. Which corrective action addresses the root cause?

  1. Validate destination-stage credentials and environment-specific data source settings
  2. Review the pending workspace changes and commit the intentional notebook version
  3. Check current supported item types and version the underlying code separately as appropriate
  4. Resolve cross-workspace connection dependencies before promoting the item

Explanation

Correct Answer

B:

Review the pending workspace changes and commit the intentional notebook version. Pending changes must be reconciled before authoritative source is selected.

Incorrect Answers

A:

A Dataflow Gen2 connection fails only in the production stage. Item definition promotion does not automatically grant access to external systems.

C:

The release process deploys an item type without supported source-control semantics. Git integration coverage varies across Fabric item classes and releases.

D:

An item depends on a different workspace's connection that was never deployed. A target workspace cannot execute references that do not exist or lack access.

Question 77

A deployment administrator manages notebook and Dataflow Gen2 item definitions. Data validation establishes that a Dataflow Gen2 connection fails only in the production stage. What should the administrator implement or verify?

  1. Run and validate the deployed item plus its dependent data-refresh operations
  2. Validate destination-stage credentials and environment-specific data source settings
  3. Resolve cross-workspace connection dependencies before promoting the item
  4. Check current supported item types and version the underlying code separately as appropriate

Explanation

Correct Answer

B:

Validate destination-stage credentials and environment-specific data source settings. Item definition promotion does not automatically grant access to external systems.

Incorrect Answers

A:

The deployment history lists success but downstream tables are stale. Definition deployment is separate from executing ingestion jobs.

C:

An item depends on a different workspace's connection that was never deployed. A target workspace cannot execute references that do not exist or lack access.

D:

The release process deploys an item type without supported source-control semantics. Git integration coverage varies across Fabric item classes and releases.

Question 78

A deployment administrator manages notebook and Dataflow Gen2 item definitions. The production incident report states that the deployment history lists success but downstream tables are stale. Which option directly handles this observed condition?

  1. Resolve cross-workspace connection dependencies before promoting the item
  2. Validate destination-stage credentials and environment-specific data source settings
  3. Run and validate the deployed item plus its dependent data-refresh operations
  4. Check current supported item types and version the underlying code separately as appropriate

Explanation

Correct Answer

C:

Run and validate the deployed item plus its dependent data-refresh operations. Definition deployment is separate from executing ingestion jobs.

Incorrect Answers

A:

An item depends on a different workspace's connection that was never deployed. A target workspace cannot execute references that do not exist or lack access.

B:

A Dataflow Gen2 connection fails only in the production stage. Item definition promotion does not automatically grant access to external systems.

D:

The release process deploys an item type without supported source-control semantics. Git integration coverage varies across Fabric item classes and releases.

Question 79

A deployment administrator manages notebook and Dataflow Gen2 item definitions. A postdeployment check reveals that the release process deploys an item type without supported source-control semantics. What is the most defensible next action?

  1. Validate destination-stage credentials and environment-specific data source settings
  2. Run and validate the deployed item plus its dependent data-refresh operations
  3. Check current supported item types and version the underlying code separately as appropriate
  4. Resolve cross-workspace connection dependencies before promoting the item

Explanation

Correct Answer

C:

Check current supported item types and version the underlying code separately as appropriate. Git integration coverage varies across Fabric item classes and releases.

Incorrect Answers

A:

A Dataflow Gen2 connection fails only in the production stage. Item definition promotion does not automatically grant access to external systems.

B:

The deployment history lists success but downstream tables are stale. Definition deployment is separate from executing ingestion jobs.

D:

An item depends on a different workspace's connection that was never deployed. A target workspace cannot execute references that do not exist or lack access.

Question 80

A deployment administrator manages notebook and Dataflow Gen2 item definitions. The current environment exhibits the following problem: an item depends on a different workspace's connection that was never deployed. Which technical choice fits this evidence?

  1. Check current supported item types and version the underlying code separately as appropriate
  2. Resolve cross-workspace connection dependencies before promoting the item
  3. Validate destination-stage credentials and environment-specific data source settings
  4. Run and validate the deployed item plus its dependent data-refresh operations

Explanation

Correct Answer

B:

Resolve cross-workspace connection dependencies before promoting the item. A target workspace cannot execute references that do not exist or lack access.

Incorrect Answers

A:

The release process deploys an item type without supported source-control semantics. Git integration coverage varies across Fabric item classes and releases.

C:

A Dataflow Gen2 connection fails only in the production stage. Item definition promotion does not automatically grant access to external systems.

D:

The deployment history lists success but downstream tables are stale. Definition deployment is separate from executing ingestion jobs.