Microsoft
DP-300 · Question #128
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…
The correct answer is B. No. Must use an Azure Data Factory, not an Azure Databricks job. Correct solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes an Azure Databricks notebook, and then inserts the data into the data warehouse…
Submitted by joshua94· Mar 6, 2026Plan and implement data platform resources
Question
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 Data Lake Storage account that contains a staging zone. You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics. Solution: You schedule an Azure Databricks job that executes an R notebook, and then inserts the data into the data warehouse. Does this meet the goal?
Options
- AYes
- BNo
How the community answered
(54 responses)- A28% (15)
- B72% (39)
Explanation
Must use an Azure Data Factory, not an Azure Databricks job. Correct solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes an Azure Databricks notebook, and then inserts the data into the data warehouse. https://docs.microsoft.com/en-US/azure/data-factory/transform-data
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