mcAfee Secure Website
23

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

DP-700 Training Materials $25.00
Pass4sure Q&A Sample #1 Pass4sure Q&A Sample #2 Pass4sure Q&A Sample #3 Pass4sure Q&A Sample #4 Pass4sure Q&A Sample #5 Pass4sure Q&A Sample #6 Pass4sure Q&A Sample #7 Pass4sure Q&A Sample #8 Pass4sure Q&A Sample #9 Pass4sure Q&A Sample #10

Reliable & Actual Study Materials for DP-700 Exam Success

The Latest DP-700 Exam Questions as Experienced in the Actual Test!

  • 24
    Questions & Answers

    DP-700 Questions & Answers

    160 Questions & Answers

    Includes questions types found on actual exam such as drag and drop, simulation, type in, and fill in the blank.

  • 25
    DP-700 Video Course

    DP-700 Training Course

    160 Video Lectures

    Based on Real Life Scenarios which you will encounter in exam and learn by working with real equipment.

exam =32

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

Guarantee

Satisfaction Guaranteed

Pass4sure has a remarkable Microsoft Candidate Success record. We're confident of our products and provide no hassle product exchange. That's how confident we are!

99.3% Pass Rate
Total Cost: $164.98
Bundle Price: $139.98

Purchase Individually

  • exam =34
    Questions & Answers

    Questions & Answers

    160 Questions

    $124.99
    exam =35
  • exam =37
    DP-700 Video Course

    Training Course

    160 Video Lectures

    $39.99

Microsoft DP-700 Practice Test 9

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.

Question 81

A regulated Fabric solution uses pull requests for engineering governance. An acceptance test shows that a SQL change includes a risky destructive migration without review. Which corrective action addresses the root cause?

  1. Record the source commit and deployment run for each promotion
  2. Build and validate the environment dependency bundle alongside notebook definitions
  3. Require SQL change review and inspect generated deployment statements
  4. Replace embedded secrets with supported connection references and secure secret management

Explanation

Correct Answer

C:

Require SQL change review and inspect generated deployment statements. Database schema changes can delete columns or data if unchecked.

Incorrect Answers

A:

A reviewer cannot trace a production change to an approved commit. Traceable release provenance connects a deployed item to its review.

B:

A branch merge causes a notebook library mismatch in production. Source code alone does not pin runtime dependencies.

D:

Pipeline definitions contain environment secrets committed into Git. Credential material should not become repository content.

Question 82

A regulated Fabric solution uses pull requests for engineering governance. The engineer has established the following constraint: a branch merge causes a notebook library mismatch in production. What should the administrator implement or verify?

  1. Test target-stage execution identity and data authorization before release
  2. Record the source commit and deployment run for each promotion
  3. Build and validate the environment dependency bundle alongside notebook definitions
  4. Replace embedded secrets with supported connection references and secure secret management

Explanation

Correct Answer

C:

Build and validate the environment dependency bundle alongside notebook definitions. Source code alone does not pin runtime dependencies.

Incorrect Answers

A:

QA tests pass in development but production has different data permissions. Environment parity requires validating both code and permissions.

B:

A reviewer cannot trace a production change to an approved commit. Traceable release provenance connects a deployed item to its review.

D:

Pipeline definitions contain environment secrets committed into Git. Credential material should not become repository content.

Question 83

A regulated Fabric solution uses pull requests for engineering governance. During an operations handoff, engineers find that pipeline definitions contain environment secrets committed into Git. Which option directly handles this observed condition?

  1. Record the source commit and deployment run for each promotion
  2. Require SQL change review and inspect generated deployment statements
  3. Replace embedded secrets with supported connection references and secure secret management
  4. Build and validate the environment dependency bundle alongside notebook definitions

Explanation

Correct Answer

C:

Replace embedded secrets with supported connection references and secure secret management. Credential material should not become repository content.

Incorrect Answers

A:

A reviewer cannot trace a production change to an approved commit. Traceable release provenance connects a deployed item to its review.

B:

A SQL change includes a risky destructive migration without review. Database schema changes can delete columns or data if unchecked.

D:

A branch merge causes a notebook library mismatch in production. Source code alone does not pin runtime dependencies.

Question 84

A regulated Fabric solution uses pull requests for engineering governance. The team observes that a reviewer cannot trace a production change to an approved commit. What is the most defensible next action?

  1. Record the source commit and deployment run for each promotion
  2. Require SQL change review and inspect generated deployment statements
  3. Replace embedded secrets with supported connection references and secure secret management
  4. Build and validate the environment dependency bundle alongside notebook definitions

Explanation

Correct Answer

A:

Record the source commit and deployment run for each promotion. Traceable release provenance connects a deployed item to its review.

Incorrect Answers

B:

A SQL change includes a risky destructive migration without review. Database schema changes can delete columns or data if unchecked.

C:

Pipeline definitions contain environment secrets committed into Git. Credential material should not become repository content.

D:

A branch merge causes a notebook library mismatch in production. Source code alone does not pin runtime dependencies.

Question 85

A regulated Fabric solution uses pull requests for engineering governance. The implementation review confirms that QA tests pass in development but production has different data permissions. Which technical choice fits this evidence?

  1. Build and validate the environment dependency bundle alongside notebook definitions
  2. Replace embedded secrets with supported connection references and secure secret management
  3. Require SQL change review and inspect generated deployment statements
  4. Test target-stage execution identity and data authorization before release

Explanation

Correct Answer

D:

Test target-stage execution identity and data authorization before release. Environment parity requires validating both code and permissions.

Incorrect Answers

A:

A branch merge causes a notebook library mismatch in production. Source code alone does not pin runtime dependencies.

B:

Pipeline definitions contain environment secrets committed into Git. Credential material should not become repository content.

C:

A SQL change includes a risky destructive migration without review. Database schema changes can delete columns or data if unchecked.

Question 86

A Fabric engineering team performs controlled data warehouse rollouts. A scheduled execution exposes this issue: a database project build fails because objects reference missing schemas. What should the administrator implement or verify?

  1. Coordinate dependent item definitions and compatibility checks with the migration
  2. Run the approved database-project deployment to the target Warehouse
  3. Resolve project dependencies and include prerequisite schema definitions
  4. Compare target schema with baseline and explicitly resolve the drift

Explanation

Correct Answer

C:

Resolve project dependencies and include prerequisite schema definitions. SQL project validation needs all referenced objects represented or configured.

Incorrect Answers

A:

A schema migration succeeds but a downstream query fails due to changed column names. Table shape changes can break notebooks, queries and semantic models.

B:

A developer updates a project but production still uses the old schema. Source commit does not automatically modify the database's live schema.

D:

A release is blocked by an unexpected difference in the target object definition. Silent drift must be reconciled before trusting deployment diffs.

Question 87

A Fabric engineering team performs controlled data warehouse rollouts. Data validation establishes that a schema migration succeeds but a downstream query fails due to changed column names. Which option directly handles this observed condition?

  1. Compare target schema with baseline and explicitly resolve the drift
  2. Use a tested compensating migration or restore plan for the affected schema
  3. Run the approved database-project deployment to the target Warehouse
  4. Coordinate dependent item definitions and compatibility checks with the migration

Explanation

Correct Answer

D:

Coordinate dependent item definitions and compatibility checks with the migration. Table shape changes can break notebooks, queries and semantic models.

Incorrect Answers

A:

A release is blocked by an unexpected difference in the target object definition. Silent drift must be reconciled before trusting deployment diffs.

B:

A failed migration leaves some objects applied but not others. Recovery behavior depends on the deployment transaction and object changes.

C:

A developer updates a project but production still uses the old schema. Source commit does not automatically modify the database's live schema.

Question 88

A Fabric engineering team performs controlled data warehouse rollouts. The production incident report states that a developer updates a project but production still uses the old schema. What is the most defensible next action?

  1. Use a tested compensating migration or restore plan for the affected schema
  2. Coordinate dependent item definitions and compatibility checks with the migration
  3. Run the approved database-project deployment to the target Warehouse
  4. Compare target schema with baseline and explicitly resolve the drift

Explanation

Correct Answer

C:

Run the approved database-project deployment to the target Warehouse. Source commit does not automatically modify the database's live schema.

Incorrect Answers

A:

A failed migration leaves some objects applied but not others. Recovery behavior depends on the deployment transaction and object changes.

B:

A schema migration succeeds but a downstream query fails due to changed column names. Table shape changes can break notebooks, queries and semantic models.

D:

A release is blocked by an unexpected difference in the target object definition. Silent drift must be reconciled before trusting deployment diffs.

Question 89

A Fabric engineering team performs controlled data warehouse rollouts. A postdeployment check reveals that a release is blocked by an unexpected difference in the target object definition. Which technical choice fits this evidence?

  1. Coordinate dependent item definitions and compatibility checks with the migration
  2. Resolve project dependencies and include prerequisite schema definitions
  3. Run the approved database-project deployment to the target Warehouse
  4. Compare target schema with baseline and explicitly resolve the drift

Explanation

Correct Answer

D:

Compare target schema with baseline and explicitly resolve the drift. Silent drift must be reconciled before trusting deployment diffs.

Incorrect Answers

A:

A schema migration succeeds but a downstream query fails due to changed column names. Table shape changes can break notebooks, queries and semantic models.

B:

A database project build fails because objects reference missing schemas. SQL project validation needs all referenced objects represented or configured.

C:

A developer updates a project but production still uses the old schema. Source commit does not automatically modify the database's live schema.

Question 90

A Fabric engineering team performs controlled data warehouse rollouts. The current environment exhibits the following problem: a failed migration leaves some objects applied but not others. Which step preserves the intended data behavior?

  1. Run the approved database-project deployment to the target Warehouse
  2. Coordinate dependent item definitions and compatibility checks with the migration
  3. Use a tested compensating migration or restore plan for the affected schema
  4. Compare target schema with baseline and explicitly resolve the drift

Explanation

Correct Answer

C:

Use a tested compensating migration or restore plan for the affected schema. Recovery behavior depends on the deployment transaction and object changes.

Incorrect Answers

A:

A developer updates a project but production still uses the old schema. Source commit does not automatically modify the database's live schema.

B:

A schema migration succeeds but a downstream query fails due to changed column names. Table shape changes can break notebooks, queries and semantic models.

D:

A release is blocked by an unexpected difference in the target object definition. Silent drift must be reconciled before trusting deployment diffs.