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Microsoft DP-203 certification exam is a challenging exam that requires extensive preparation and study. Candidates can prepare for the exam by taking online courses, attending training sessions, and studying the official Microsoft DP-203 certification exam guide. DP-203 exam is conducted online and consists of multiple-choice questions and scenario-based questions. Candidates must score a minimum of 700 out of 1000 to pass the exam and earn the Microsoft DP-203 Certification.

The DP-203 exam focuses on various topics, including data storage solutions, data processing solutions, data monitoring and optimization, and implementing security and privacy measures in data solutions. Candidates who pass DP-203 exam will prove their proficiency in designing and implementing data solutions, integrating data solutions with other services and tools, and implementing data security and privacy measures.

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Free PDF DP-203 - Accurate Valid Data Engineering on Microsoft Azure Exam Pattern

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q179-Q184):

NEW QUESTION # 179
You have an Azure subscription that contains the resources shown in the following table.

You need to ingest the Parquet files from storage1 to SQL1 by using pipeline1. The solution must meet the following requirements:
* Minimize complexity.
* Ensure that additional columns in the files are processed as strings.
* Ensure that files containing additional columns are processed successfully.
How should you configure pipeline1? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 180
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 # 181
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:

Explanation

The conditional split transformation routes data rows to different streams based on matching conditions. The conditional split transformation is similar to a CASE decision structure in a programming language. The transformation evaluates expressions, and based on the results, directs the data row to the specified stream.
Box 1: dept=='ecommerce', dept=='retail', dept=='wholesale'
First we put the condition. The order must match the stream labeling we define in Box 3.
Syntax:
<incomingStream>
split(
<conditionalExpression1>
<conditionalExpression2>
disjoint: {true | false}
) ~> <splitTx>@(stream1, stream2, ..., <defaultStream>)
Box 2: discount : false
disjoint is false because the data goes to the first matching condition. All remaining rows matching the third condition go to output stream all.
Box 3: ecommerce, retail, wholesale, all
Label the streams
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/data-flow-conditional-split

NEW QUESTION # 182
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. The table is skewed.
B. All distributions contain data.
C. The table uses round-robin distribution.
D. The table contains less than 1,000 rows.

Answer: B

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- distribute

NEW QUESTION # 183
You have an Azure Blob storage account that contains a folder. The folder contains 120,000 files. Each file contains 62 columns.
Each day, 1,500 new files are added to the folder.
You plan to incrementally load five data columns from each new file into an Azure Synapse Analytics workspace.
You need to minimize how long it takes to perform the incremental loads.
What should you use to store the files and format?

Answer:

Explanation:

NEW QUESTION # 184
......

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