Microsoft Updated DP-203 Exam Questions and Answers by olivier

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.

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You are designing an Azure Stream Analytics solution that will analyze Twitter data.

You need to count the tweets in each 10-second window. The solution must ensure that each tweet is counted only once.

Solution: You use a hopping window that uses a hop size of 10 seconds and a window size of 10 seconds.

Does this meet the goal?

You are designing 2 solution that will use tables in Delta Lake on Azure Databricks.

You need to minimize how long it takes to perform the following:

*Queries against non-partitioned tables

* Joins on non-partitioned columns

Which two options should you include in the solution? Each correct answer presents part of the solution.

(Choose Correct Answer and Give Explanation and References to Support the answers based from Data Engineering on Microsoft Azure)

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?

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.