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Most Recent Microsoft DP-203 Exam Dumps
Prepare for the Microsoft Data Engineering on Microsoft Azure exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.
QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Microsoft DP-203 exam and achieve success.
The questions for DP-203 were last updated on May 5, 2025.
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You are designing a sales transactions table in an Azure Synapse Analytics dedicated SQL pool. The table will contains approximately 60 million rows per month and will be partitioned by month. The table will use a clustered column store index and round-robin distribution.
Approximately how many rows will there be for each combination of distribution and partition?
You have an Azure Stream Analytics job that read data from an Azure event hub.
You need to evaluate whether the job processes data as quickly as the data arrives or cannot keep up.
Which metric should you review?
You have an Azure Synapse Analytics dedicated SQL pool that contains a table named Table1.
You have files that are ingested and loaded into an Azure Data Lake Storage Gen2 container named container1.
You plan to insert data from the files into Table1 and azure Data Lake Storage Gen2 container named container1.
You plan to insert data from the files into Table1 and transform the dat
a. Each row of data in the files will produce one row in the serving layer of Table1.
You need to ensure that when the source data files are loaded to container1, the DateTime is stored as an additional column in Table1.
Solution: In an Azure Synapse Analytics pipeline, you use a data flow that contains a Derived Column transformation.
Use the derived column transformation to generate new columns in your data flow or to modify existing fields.
https://docs.microsoft.com/en-us/azure/data-factory/data-flow-derived-column
You have an Azure subscription that contains an Azure Synapse Analytics workspace named ws1 and an Azure Cosmos D6 database account named Cosmos1 Costmos1 contains a container named container 1 and ws1 contains a serverless1 SQL pool.
you need to ensure that you can Query the data in container by using the serverless1 SQL pool.
Which three actions should you perform? Each correct answer presents part of the solution
NOTE: Each correct selection is worth one point.
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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