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| Vendor: | Microsoft |
|---|---|
| Exam Code: | DP-203 |
| Exam Name: | Data Engineering on Microsoft Azure |
| Exam Questions: | 354 |
| Last Updated: | March 17, 2026 |
| Related Certifications: | |
| Exam Tags: | Intermediate Microsoft Data Engineers |
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You are creating a new notebook in Azure Databricks that will support R as the primary language but will also support Scale and SOL Which switch should you use to switch between languages?
To change the language in Databricks' cells to either Scala, SQL, Python or R, prefix the cell with '%', followed by the language.
%python //or r, scala, sql
You have an Azure Stream Analytics job named Job1.
The metrics of Job1 from the last hour are shown in the following table.

The late arrival tolerance for Job1 is set to the five seconds.
You need to optimize Job1.
Which two actions achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.
You need to design a data retention solution for the Twitter teed data records. The solution must meet the customer sentiment analytics requirements.
Which Azure Storage functionality should you include in the solution?
You have an Azure Data Factory pipeline that performs an incremental load of source data to an Azure Data Lake Storage Gen2 account.
Data to be loaded is identified by a column named LastUpdatedDate in the source table.
You plan to execute the pipeline every four hours.
You need to ensure that the pipeline execution meets the following requirements:
Automatically retries the execution when the pipeline run fails due to concurrency or throttling limits.
Supports backfilling existing data in the table.
Which type of trigger should you use?
In case of pipeline failures, tumbling window trigger can retry the execution of the referenced pipeline automatically, using the same input parameters, without the user intervention. This can be specified using the property 'retryPolicy' in the trigger definition.
https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-tumbling-window-trigger
You have two Azure Blob Storage accounts named account1 and account2?
You plan to create an Azure Data Factory pipeline that will use scheduled intervals to replicate newly created or modified blobs from account1 to account?
You need to recommend a solution to implement the pipeline. The solution must meet the following requirements:
* Ensure that the pipeline only copies blobs that were created of modified since the most recent replication event.
* Minimize the effort to create the pipeline.
What should you recommend?
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