Microsoft DP-203 Data Engineering on Microsoft Azure Exam Practice Test

You use Azure Stream Analytics to receive Twitter data from Azure Event Hubs and to output the data to an Azure Blob storage account

You need to output the count of tweets during the last five minutes every five minutes. Each tweet must only be counted once.

Which windowing function should you use?

You have an Azure subscription that contains an Azure Synapse Analytics dedicated SQL pool named Pool1. You have the queries shown in the following table.

You are evaluating whether to enable result set caching for Pool1. Which query results will be cached if result set caching is enabled?

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.

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

You need to search the Microsoft Purview Data Catalog to identify assets that have an assetType property of Table or View

Which query should you run?

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 Data Factory pipeline named pipeline1 that includes a Copy activity named Copy1. Copy1 has the following configurations:

* The source of Copy1 is a table in an on-premises Microsoft SQL Server instance that is accessed by using a linked service connected via a self-hosted integration runtime.

* The sink of Copy1 uses a table in an Azure SQL database that is accessed by using a linked service connected via an Azure integration runtime.

You need to maximize the amount of compute resources available to Copy1. The solution must minimize administrative effort.

What should you do?

You have an Azure data factory named ADM that contains a pipeline named Pipelwe1

Pipeline! must execute every 30 minutes with a 15-minute offset.

Vou need to create a trigger for Pipehne1. The trigger must meet the following requirements:

* Backfill data from the beginning of the day to the current time.

* If Pipeline1 fairs, ensure that the pipeline can re-execute within the same 30-mmute period.

* Ensure that only one concurrent pipeline execution can occur.

* Minimize de4velopment and configuration effort

Which type of trigger should you create?