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DP-203 Data Engineering on Microsoft Azure Practice exams (desktop and web-based) are designed solely to help you get your DP-203 Data Engineering on Microsoft Azure certification on your first try. Our Microsoft DP-203 mock test will help you understand the DP-203 Data Engineering on Microsoft Azure exam inside out and you will get better marks overall. It is only because you have practical experience of the DP-203 Data Engineering on Microsoft Azure exam even before the exam itself.

The Microsoft DP-203 (Data Engineering on Microsoft Azure) Exam is a certification exam designed to test the skills and knowledge of data engineers who work with Microsoft Azure. This exam is intended for professionals who work with data engineering and are interested in using Azure technologies to build and manage data solutions. The DP-203 exam is designed to assess the candidate's ability to design, implement, and maintain data pipelines, data storage, data processing, and data security in Azure.

The Microsoft DP-203 certification exam is designed to test your skills and knowledge in data engineering on the Microsoft Azure platform. This certification is ideal for data engineers who want to leverage Azure data services to design and implement scalable data solutions. The exam measures your ability to design and implement data storage solutions, manage data processing, and monitor and optimize data solutions.

The Microsoft DP-203 certification exam is an excellent opportunity for data engineers and other IT professionals to validate their skills and expertise in designing, implementing, and managing data solutions on the Azure platform. Successful completion of this exam demonstrates a candidate's proficiency in Azure-based data solutions and can lead to increased career prospects and earning potential. With the right preparation and practical experience, candidates can confidently take the DP-203 exam and earn a globally recognized certification from Microsoft.

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q40-Q45):

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.




You are processing streaming data from vehicles that pass through a toll booth.
You need to use Azure Stream Analytics to return the license plate, vehicle make, and hour the last vehicle passed during each 10-minute window.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.




You need to implement a Type 3 slowly changing dimension (SCD) for product category data in an Azure Synapse Analytics dedicated SQL pool.
You have a table that was created by using the following Transact-SQL statement.

Which two columns should you add to the table? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. [OriginalProduccCacegory] [nvarchar] (100) NOT NULL,
  • B. [EffectiveScarcDate] [datetime] NOT NULL,
  • C. [CurrentProduccCacegory] [nvarchar] (100) NOT NULL,
  • D. [ProductCategory] [nvarchar] (100) NOT NULL,
  • E. [EffectiveEndDace] [dacecime] NULL,

Answer: A,C

A Type 3 SCD supports storing two versions of a dimension member as separate columns. The table includes a column for the current value of a member plus either the original or previous value of the member. So Type 3 uses additional columns to track one key instance of history, rather than storing additional rows to track each change like in a Type 2 SCD.
This type of tracking may be used for one or two columns in a dimension table. It is not common to use it for many members of the same table. It is often used in combination with Type 1 or Type 2 members.


You need to design a data retention solution for the Twitter feed data records. The solution must meet the customer sentiment analytics requirements.
Which Azure Storage functionality should you include in the solution?

  • A. soft delete
  • B. time-based retention
  • C. lifecycle management
  • D. change feed

Answer: C

Scenario: Purge Twitter feed data records that are older than two years.
Data sets have unique lifecycles. Early in the lifecycle, people access some data often. But the need for access often drops drastically as the data ages. Some data remains idle in the cloud and is rarely accessed once stored. Some data sets expire days or months after creation, while other data sets are actively read and modified throughout their lifetimes. Azure Storage lifecycle management offers a rule-based policy that you can use to transition blob data to the appropriate access tiers or to expire data at the end of the data lifecycle.
https://docs.microsoft.com/en-us/azure/storage/blobs/lifecycle-management-overview This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Litware, Inc. owns and operates 300 convenience stores across the US. The company sells a variety of packaged foods and drinks, as well as a variety of prepared foods, such as sandwiches and pizzas.
Litware has a loyalty club whereby members can get daily discounts on specific items by providing their membership number at checkout.
Litware employs business analysts who prefer to analyze data by using Microsoft Power BI, and data scientists who prefer analyzing data in Azure Databricks notebooks.

The following code segment is used to create an Azure Databricks cluster.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.





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