Microsoft DP-203 Exam With Confidence Using Practice Dumps

Note: This question it 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 *rom 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 use an Azure Data Factory schedule trigger to execute a pipeline that executes a mapping data flow, and then inserts the data into the data warehouse.

Does this meet the goal?

You have an Azure Databricks workspace and an Azure Data Lake Storage Gen2 account named storage!

New files are uploaded daily to storage1.

• Incrementally process new files as they are upkorage1 as a structured streaming source. The solution must meet the following requirements:

• Minimize implementation and maintenance effort.

• Minimize the cost of processing millions of files.

• Support schema inference and schema drift.

Which should you include in the recommendation?

You have an Azure subscription that contains an Azure Synapse Analytics account and a Microsoft Purview account.

You create a pipeline named Pipeline1 for data ingestion to a dedicated SQL pool.

You need to generate data lineage from Pipeline1 to Microsoft Purview.

Which two activities generate data lineage? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.