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To prepare for the Microsoft DP-203 certification exam, you will need to have a solid understanding of Azure data services, including Azure Databricks, Azure Data Factory, Azure Stream Analytics, and Azure Cosmos DB. You will also need to be familiar with data integration and transformation techniques, as well as data security and compliance requirements. Microsoft offers a range of training resources and study materials to help you prepare for the exam, including online courses, practice exams, and virtual labs.
Microsoft DP-203 certification exam is designed to test your skills and knowledge in data engineering on the Microsoft Azure platform. Data Engineering on Microsoft Azure certification is ideal for data engineers who want to leverage Azure data services to design and implement scalable data solutions. DP-203 exam measures your ability to design and implement data storage solutions, manage data processing, and monitor and optimize data solutions.
Microsoft DP-203 (Data Engineering on Microsoft Azure) Exam is designed to test the skills and knowledge of professionals who work with data engineering technologies on the Azure platform. It is a certification exam that validates the candidate's ability to design, implement, and manage data solutions on Azure. DP-203 exam covers a wide range of topics, including data storage, data processing, data analysis, and data visualization. It also covers the use of various Azure services, such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure HDInsight.
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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q275-Q280):
NEW QUESTION # 275
You use PySpark in Azure Databricks to parse the following JSON input.
You need to output the data in the following tabular format.
How should you complete the PySpark code? To answer, drag the appropriate values to he correct targets. Each value may be used once, more than once or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 276
You are designing an Azure Data Lake Storage Gen2 structure for telemetry data from 25 million devices distributed across seven key geographical regions. Each minute, the devices will send a JSON payload of metrics to Azure Event Hubs.
You need to recommend a folder structure for the dat
a. The solution must meet the following requirements:
Data engineers from each region must be able to build their own pipelines for the data of their respective region only.
The data must be processed at least once every 15 minutes for inclusion in Azure Synapse Analytics serverless SQL pools.
How should you recommend completing the structure? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://github.com/paolosalvatori/StreamAnalyticsAzureDataLakeStore/blob/master/README.md
NEW QUESTION # 277
You need to create an Azure Data Factory pipeline to process data for the following three departments at your company: Ecommerce, retail, and wholesale. The solution must ensure that data can also be processed for the entire company.
How should you complete the Data Factory data flow script? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/data-flow-conditional-split
NEW QUESTION # 278
You have an Azure Data Factory pipeline that has the activities shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://datasavvy.me/2021/02/18/azure-data-factory-activity-failures-and-pipeline-outcomes/
NEW QUESTION # 279
You are performing exploratory analysis of the bus fare data in an Azure Data Lake Storage Gen2 account by using an Azure Synapse Analytics serverless SQL pool.
You execute the Transact-SQL query shown in the following exhibit.
What do the query results include?
- A. Only CSV that have file names that beginning with "tripdata_2020".
- B. All files that have file names that beginning with "tripdata_2020".
- C. Only CSV files in the tripdata_2020 subfolder.
- D. All CSV files that have file names that contain "tripdata_2020".
Answer: A
NEW QUESTION # 280
......
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