Free DP-203 Exam Braindumps
Data Engineering on Microsoft Azure (Replaced with DP-700) Questions 104–108 (page: 24)

Updated On: 10-Feb-2026

You have an Azure data factory connected to a Git repository that contains the following branches:

•main: Collaboration branch
•abc: Feature branch
•xyz: Feature branch

You save changes to a pipeline in the xyz branch.

You need to publish the changes to the live service.

What should you do first?

  1. Publish the data factory.
  2. Create a pull request to merge the changes into the main branch.
  3. Create a pull request to merge the changes into the abc branch.
  4. Push the code to a remote origin.

Answer(s): B



Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have an Azure subscription that contains an Azure data factory named ADF1.

From Azure Data Factory Studio, you build a complex data pipeline in ADF1.

You discover that the Save button is unavailable, and there are validation errors that prevent the pipeline from being published.

You need to ensure that you can save the logic of the pipeline.

Solution: You enable Git integration for ADF1.

Does this meet the goal?

  1. Yes
  2. No

Answer(s): A



Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have an Azure subscription that contains an Azure data factory named ADF1.

From Azure Data Factory Studio, you build a complex data pipeline in ADF1.

You discover that the Save button is unavailable, and there are validation errors that prevent the pipeline from being published.

You need to ensure that you can save the logic of the pipeline.

Solution: You view the JSON code representation of the resource and copy the JSON to a file.

Does this meet the goal?

  1. Yes
  2. No

Answer(s): A



Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have an Azure subscription that contains an Azure data factory named ADF1.

From Azure Data Factory Studio, you build a complex data pipeline in ADF1.

You discover that the Save button is unavailable, and there are validation errors that prevent the pipeline from being published.

You need to ensure that you can save the logic of the pipeline.

Solution: You export ADF1 as an Azure Resource Manager (ARM) template.

Does this meet the goal?

  1. Yes
  2. No

Answer(s): B



HOTSPOT (Drag and Drop is not supported)
You have an Azure Databricks workspace.
You read data from a CSV file by using a notebook, and then load the data to a DataFrame.
You need to add rows from the DataFrame to an existing Delta table by using Python code.

How should you complete the code? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

  1. See Explanation section for answer.

Answer(s): A

Explanation:



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