Microsoft Certified: Azure Data Engineer Associate DP-203 Reddit Questions

You have an Azure Synapse Analytics pipeline named pipeline1 that has concurrency set to 1.

To run pipeline 1, you create a new trigger as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the [graphic.

NOTE: Each correct selection is worth one point.

You are designing an Azure Data Lake Storage Gen2 structure for telemetry data from 25 million devices distributed across seven key geographical regions. Each minute, the devices will send a JSON payload of metrics to Azure Event Hubs.

You need to recommend a folder structure for the data. The solution must meet the following requirements:

Data engineers from each region must be able to build their own pipelines for the data of their respective region only.

The data must be processed at least once every 15 minutes for inclusion in Azure Synapse Analytics serverless SQL pools.

How should you recommend completing the structure? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

You use Azure Data Factory to create data pipelines.

You are evaluating whether to integrate Data Factory and GitHub for source and version control What are two advantages of the integration? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

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?