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To prepare for the DP-203 Exam, professionals should have a strong understanding of data engineering concepts and experience with Microsoft Azure. Microsoft offers a variety of resources to help professionals prepare for the exam, including study guides, training courses, and practice exams. Additionally, professionals can gain hands-on experience by working on data engineering projects on Microsoft Azure.

Upon passing the DP-203 exam, candidates will earn the Microsoft Certified: Azure Data Engineer Associate certification. Data Engineering on Microsoft Azure certification is recognized by employers and demonstrates the candidate’s expertise in designing and implementing data solutions using Azure services. Data Engineering on Microsoft Azure certification can lead to better job opportunities and higher salaries for professionals working in the field of data engineering.

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Microsoft DP-203 (Data Engineering on Microsoft Azure) Certification Exam is designed for individuals who want to demonstrate their expertise in designing and implementing data solutions on Microsoft Azure. Data Engineering on Microsoft Azure certification exam is ideal for data engineers, data architects, and other IT professionals who are responsible for designing and implementing data solutions on Azure.

Microsoft Data Engineering on Microsoft Azure Sample Questions (Q80-Q85):

NEW QUESTION # 80
You have an Azure Synapse Analytics dedicated SQL pool.
You run PDW_SHOWSPACEUSED(dbo,FactInternetSales'); and get the results shown in the following table.

Which statement accurately describes the dbo,FactInternetSales table?

A. All distributions contain data.
B. The table contains less than 1,000 rows.
C. The table is skewed.
D. The table uses round-robin distribution.

Answer: C

Explanation:
Explanation
Data skew means the data is not distributed evenly across the distributions.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distribu

NEW QUESTION # 81
You have an Azure Stream Analytics job that receives clickstream data from an Azure event hub.
You need to define a query in the Stream Analytics job. The query must meet the following requirements:
Count the number of clicks within each 10-second window based on the country of a visitor.
Ensure that each click is NOT counted more than once.
How should you define the Query?

A. SELECT Country, Avg(*) AS Average
FROM ClickStream TIMESTAMP BY CreatedAt
GROUP BY Country, HoppingWindow(second, 10, 2)
B. SELECT Country, Count(*) AS Count
FROM ClickStream TIMESTAMP BY CreatedAt
GROUP BY Country, SessionWindow(second, 5, 10)
C. SELECT Country, Avg(*) AS Average
FROM ClickStream TIMESTAMP BY CreatedAt
GROUP BY Country, SlidingWindow(second, 10)
D. SELECT Country, Count(*) AS Count
FROM ClickStream TIMESTAMP BY CreatedAt
GROUP BY Country, TumblingWindow(second, 10)

Answer: D

Explanation:
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.
Example:
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions

NEW QUESTION # 82
You have an Azure subscription that contains an Azure Data Lake Storage Gen2 account named storage1. Storage1 contains a container named container1. Container1 contains a directory named directory1. Directory1 contains a file named file1.
You have an Azure Active Directory (Azure AD) user named User1 that is assigned the Storage Blob Data Reader role for storage1.
You need to ensure that User1 can append data to file1. The solution must use the principle of least privilege.
Which permissions should you grant? To answer, drag the appropriate permissions to the correct resources. Each permission 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.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-access-control

NEW QUESTION # 83
You are batch loading a table in an Azure Synapse Analytics dedicated SQL pool.
You need to load data from a staging table to the target table. The solution must ensure that if an error occurs while loading the data to the target table, all the inserts in that batch are undone.
How should you complete the Transact-SQL code? 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:

Explanation
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NEW QUESTION # 84
Which Azure Data Factory components should you recommend using together to import the daily inventory data from the SQL server to Azure Data Lake Storage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: Self-hosted integration runtime
A self-hosted IR is capable of running copy activity between a cloud data stores and a data store in private network.
Box 2: Schedule trigger
Schedule every 8 hours
Box 3: Copy activity
Scenario:
* Customer data, including name, contact information, and loyalty number, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table.
* Product data, including product ID, name, and category, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table.

NEW QUESTION # 85
......

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