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Most Recent Microsoft DP-203 Exam Questions & Answers
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 Nov 20, 2024.
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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?
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
You have a table in an Azure Synapse Analytics dedicated SQL pool. The table was created by using the following Transact-SQL statement.
You need to alter the table to meet the following requirements:
Ensure that users can identify the current manager of employees.
Support creating an employee reporting hierarchy for your entire company.
Provide fast lookup of the managers' attributes such as name and job title.
Which column should you add to the table?
Use the same definition as the EmployeeID column.
https://docs.microsoft.com/en-us/analysis-services/tabular-models/hierarchies-ssas-tabular
You have an Azure SQL database named DB1 and an Azure Data Factory data pipeline named pipeline.
From Data Factory, you configure a linked service to DB1.
In DB1, you create a stored procedure named SP1. SP1 returns a single row of data that has four columns.
You need to add an activity to pipeline to execute SP1. The solution must ensure that the values in the columns are stored as pipeline variables.
Which two types of activities can you use to execute SP1? (Refer to Data Engineering on Microsoft Azure documents or guide for Answers/Explanation available at Microsoft.com)
the two types of activities that you can use to execute SP1 areStored ProcedureandLookup.
https://learn.microsoft.com/en-us/azure/data-factory/transform-data-using-stored-procedure
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 export ADF1 as an Azure Resource Manager (ARM) template.
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.
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
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