Microsoft DP-203 Exam Dumps

Get All Data Engineering on Microsoft Azure Exam Questions with Validated Answers

DP-203 Pack
Vendor: Microsoft
Exam Code: DP-203
Exam Name: Data Engineering on Microsoft Azure
Exam Questions: 354
Last Updated: November 20, 2025
Related Certifications:
Exam Tags: Intermediate Microsoft Data Engineers
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Free Microsoft DP-203 Exam Actual Questions

Question No. 1

You have a C# application that process data from an Azure IoT hub and performs complex transformations.

You need to replace the application with a real-time solution. The solution must reuse as much code as

possible from the existing application.

Show Answer Hide Answer
Correct Answer: C

Azure Stream Analytics on IoT Edge empowers developers to deploy near-real-time analytical intelligence closer to IoT devices so that they can unlock the full value of device-generated data. UDF are available in C# for IoT Edge jobs

Azure Stream Analytics on IoT Edge runs within the Azure IoT Edge framework. Once the job is created in Stream Analytics, you can deploy and manage it using IoT Hub.


https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge

Question No. 2

You have an Azure Synapse Analytics dedicated SQL pool.

You plan to create a fact table named Table1 that will contain a clustered columnstore index.

You need to optimize data compression and query performance for Table1.

What is the minimum number of rows that Table1 should contain before you create partitions?

Show Answer Hide Answer
Correct Answer: A

Question No. 3

A company uses Azure Stream Analytics to monitor devices.

The company plans to double the number of devices that are monitored.

You need to monitor a Stream Analytics job to ensure that there are enough processing resources to handle the additional load.

Which metric should you monitor?

Show Answer Hide Answer
Correct Answer: A

There are a number of resource constraints that can cause the streaming pipeline to slow down. The watermark delay metric can rise due to:

Not enough processing resources in Stream Analytics to handle the volume of input events.

Not enough throughput within the input event brokers, so they are throttled.

Output sinks are not provisioned with enough capacity, so they are throttled. The possible solutions vary widely based on the flavor of output service being used.


https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-time-handling

Question No. 4

You are designing an Azure Databricks interactive cluster. The cluster will be used infrequently and will be configured for auto-termination.

You need to ensure that the cluster configuration is retained indefinitely after the cluster is terminated. The solution must minimize costs.

What should you do?

Show Answer Hide Answer
Correct Answer: D

To keep an interactive cluster configuration even after it has been terminated for more than 30 days, an

administrator can pin a cluster to the cluster list.


https://docs.azuredatabricks.net/clusters/clusters-manage.html#automatic-termination

Question No. 5

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 scenario, 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 Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.

You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics.

You need to prepare the files to ensure that the data copies quickly.

Solution: You convert the files to compressed delimited text files.

Does this meet the goal?

Show Answer Hide Answer
Correct Answer: A

All file formats have different performance characteristics. For the fastest load, use compressed delimited text files.


https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-data

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