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Microsoft DP-203 Test Dumps

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Question # 1



Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You are designing an Azure Stream Analytics solution that will analyze Twitter data.

You need to count the tweets in each 10-second window. The solution must ensure that each tweet is counted only once.

Solution: You use a tumbling window, and you set the window size to 10 seconds.

Does this meet the goal?
A. Yes
B. No



A.
  Yes




Explanation:

A tumbling window is the correct type of window for counting events (such as tweets) in distinct, non-overlapping time intervals, ensuring that each event (tweet) is counted only once in each time window. Since the window size is set to 10 seconds, it will count all tweets in each 10-second interval without overlap, achieving the desired outcome. Thus, the solution of using a tumbling window with a 10-second window size does meet the goal.




Question # 2



You are designing the folder structure for an Azure Data Lake Storage Gen2 account.
You identify the following usage patterns:
• Users will query data by using Azure Synapse Analytics serverless SQL pools and Azure
Synapse Analytics serverless Apache Spark pods.
• Most queries will include a filter on the current year or week.
• Data will be secured by data source.
You need to recommend a folder structure that meets the following requirements:
• Supports the usage patterns
• Simplifies folder security
• Minimizes query times
Which folder structure should you recommend?

A.

Option A

B.

Option B

C.

Option C

D.

Option D

E.

Option E




D.
  

Option D







Question # 3



You have an Azure Databricks resource.
You need to log actions that relate to changes in compute for the Databricks resource.
Which Databricks services should you log?

A.

clusters

B.

workspace

C.

DBFS

D.

SSH

E.

lobs




B.
  

workspace







Question # 4



You have an Azure Data lake Storage account that contains a staging zone.
You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a
data warehouse in Azure Synapse Analytics.
Solution You use an Azure Data Factory schedule trigger to execute a pipeline that
executes an Azure Databricks notebook, and then inserts the data into the data warehouse
Dow this meet the goal?

A.

Yes

B.

No




A.
  

Yes







Question # 5



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.

[EffectiveScarcDate] [datetime] NOT NULL,

B.

[CurrentProduccCacegory] [nvarchar] (100) NOT NULL,

C.

[EffectiveEndDace] [dacecime] NULL,

D.

[ProductCategory] [nvarchar] (100) NOT NULL,

E.

[OriginalProduccCacegory] [nvarchar] (100) NOT NULL,




B.
  

[CurrentProduccCacegory] [nvarchar] (100) NOT NULL,




E.
  

[OriginalProduccCacegory] [nvarchar] (100) NOT NULL,



Explanation:
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 





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Data Engineering on Microsoft Azure Exam Dumps


Exam Code: DP-203
Exam Name: Data Engineering on Microsoft Azure

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