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DP-203 Practice Questions

Question # 1

You have a data model that you plan to implement in a data warehouse in Azure Synapse
Analytics as shown in the following exhibit.




Question # 2

You have an Azure Synapse Analytics dedicated SQL pool named Pool1 and a database named DB1. DB1 contains a fact table named Table1.
You need to identify the extent of the data skew in Table1.
What should you do in Synapse Studio?

A.

Connect to the built-in pool and query sysdm_pdw_sys_info.

B.

Connect to Pool1 and run DBCC CHECKALLOC.

C.

Connect to the built-in pool and run DBCC CHECKALLOC.

D.

Connect to Pool! and query sys.dm_pdw_nodes_db_partition_stats.



D.

Connect to Pool! and query sys.dm_pdw_nodes_db_partition_stats.


Explanation:
Microsoft recommends use of sys.dm_pdw_nodes_db_partition_stats to analyze any
skewness in the data.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/cheat-sheet



Question # 3

You have an Azure Synapse Analytics dedicated SQL pool named Pool1 and an Azure
Data Lake Storage Gen2 account named Account 1.
You plan to access the files in Accoun1l by using an external table.
You need to create a data source in Pool1 that you can reference when you create the
external table.
How should you complete the Transact-SQL statement? To answer, select the appropriate
options in the answer area.
NOTE Each coned selection is worth one point.

Answer: See the answer below in explanation.
Explanation:
Answer as below
Graphical user interface, text, application
Description automatically generated



Question # 4

You need to output files from Azure Data Factory.
Which file format should you use for each type of output? To answer, select the appropriate
options in the answer area.
NOTE: Each correct selection is worth one point.



Question # 5

You plan to create an Azure Synapse Analytics dedicated SQL pool.
You need to minimize the time it takes to identify queries that return confidential information
as defined by the company's data privacy regulations and the users who executed the
queues.
Which two components should you include in the solution? Each correct answer presents
part of the solution.
NOTE: Each correct selection is worth one point.

A.

sensitivity-classification labels applied to columns that contain confidential information

B.

resource tags for databases that contain confidential information

C.

audit logs sent to a Log Analytics workspace

D.

dynamic data masking for columns that contain confidential information



A.

sensitivity-classification labels applied to columns that contain confidential information


C.

audit logs sent to a Log Analytics workspace


A: You can classify columns manually, as an alternative or in addition to the
recommendation-based classification:





Question # 6

You have an Azure subscription that contains the following resources:
* An Azure Active Directory (Azure AD) tenant that contains a security group named
Group1.
* An Azure Synapse Analytics SQL pool named Pool1.
You need to control the access of Group1 to specific columns and rows in a table in Pool1
Which Transact-SQL commands should you use? To answer, select the appropriate
options in the answer area.
NOTE: Each appropriate options in the answer area.



Question # 7

You are designing an Azure Databricks table. The table will ingest an average of 20 million
streaming events per day.
You need to persist the events in the table for use in incremental load pipeline jobs in
Azure Databricks. The solution must minimize storage costs and incremental load times.
What should you include in the solution?

A.

Partition by DateTime fields.

B.

Sink to Azure Queue storage.

C.

Include a watermark column.

D.

Use a JSON format for physical data storage



B.

Sink to Azure Queue storage.


Explanation:
The Databricks ABS-AQS connector uses Azure Queue Storage (AQS) to provide an
optimized file source that lets you find new files written to an Azure Blob storage (ABS)
container without repeatedly listing all of the files.
This provides two major advantages:
Lower latency: no need to list nested directory structures on ABS, which is slow
and resource intensive.
Lower costs: no more costly LIST API requests made to ABS.
Reference:
https://docs.microsoft.com/en-us/azure/databricks/spark/latest/structured-streaming/aqs



Question # 8

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

A.

time-based retention

B.

change feed

C.

soft delete

D.

Iifecycle management



D.

Iifecycle management




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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: 347
  • Last Updation Date: 16-Jan-2025

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