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DP-203 Practice Questions

Question # 1

You have an Azure Synapse Analytics dedicated SQL pool that contains a table named
Table1.
You have files that are ingested and loaded into an Azure Data Lake Storage Gen2
container named container1.
You plan to insert data from the files into Table1 and azure Data Lake Storage Gen2
container named container1.
You plan to insert data from the files into Table1 and transform the data. Each row of data
in the files will produce one row in the serving layer of Table1.
You need to ensure that when the source data files are loaded to container1, the DateTime
is stored as an additional column in Table1.
Solution: In an Azure Synapse Analytics pipeline, you use a Get Metadata activity that
retrieves the DateTime of the files.
Does this meet the goal?

A.

Yes

B.

No



B.

No




Question # 2

You have several Azure Data Factory pipelines that contain a mix of the following types of
activities.
* Wrangling data flow
* Notebook
* Copy
* jar
Which two Azure services should you use to debug the activities? Each correct answer
presents part of the solution NOTE: Each correct selection is worth one point.

A.

Azure HDInsight

B.

Azure Databricks

C.

Azure Machine Learning

D.

Azure Data Factory

E.

Azure Synapse Analytics



C.

Azure Machine Learning


E.

Azure Synapse Analytics




Question # 3

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 hopping window that uses a hop size of 5 seconds and a window size
10 seconds.
Does this meet the goal?

A.

Yes

B.

No



B.

No


Instead use a tumbling window. Tumbling windows are a series of fixed-sized, nonoverlapping
and contiguous time intervals.
Reference:
https://docs.microsoft.com/en-us/stream-analytics-query/tumbling-window-azure-streamanalytics



Question # 4

You have an Azure Storage account that generates 200.000 new files daily. The file names have a format of (YYY)/(MM)/(DD)/|HH])/(CustornerID).csv.
You need to design an Azure Data Factory solution that will toad new data from the storage account to an Azure Data lake once hourly. The solution must minimize load times and
costs.How should you configure the solution? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point

Answer: See the answer below in explanation.
Explanation:



Question # 5

You are creating dimensions for a data warehouse in an Azure Synapse Analytics
dedicated SQL pool.
You create a table by using the Transact-SQL statement shown in the following exhibit.



Question # 6

You need to implement versioned changes to the integration pipelines. The solution must meet the data integration requirements.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.



Question # 7

You need to build a solution to ensure that users can query specific files in an Azure Data Lake Storage Gen2 account from an Azure Synapse Analytics serverless SQL pool.Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.



Question # 8

You are designing a date dimension table in an Azure Synapse Analytics dedicated SQL pool. The date dimension table will be used by all the fact tables.
Which distribution type should you recommend to minimize data movement?

A.

HASH

B.

REPLICATE

C.

ROUND ROBIN



B.

REPLICATE


Explanation:
A replicated table has a full copy of the table available on every Compute node. Queries
run fast on replicated tables since joins on replicated tables don't require data movement.
Replication requires extra storage, though, and isn't practical for large tables.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-datawarehouse-
tables-overview



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Microsoft DP-203 Exam Dumps

Exam Name: Data Engineering on Microsoft Azure
Certification Name: Microsoft Azure Data Engineer Associate

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  • Total Questions: 355
  • Last Updation Date: 17-Mar-2025

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