DP-203 Valid Exam Notes, Latest DP-203 Test Notes

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Microsoft DP-203: Data Engineering on Microsoft Azure is an important certification exam for data engineers who work with Azure data services. DP-203 Exam measures the ability of a candidate to design and implement data solutions using Azure services. It covers a wide range of topics, including data storage solutions, data processing solutions, and data security solutions. Passing the exam can lead to numerous benefits, including improved career prospects and recognition from peers and employers.

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Latest DP-203 Test Notes - DP-203 Latest Dumps Questions

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Microsoft DP-203 (Data Engineering on Microsoft Azure) Certification Exam is a certification program that has been designed to validate the skills and knowledge of data engineers who work with data on Azure. Data Engineering on Microsoft Azure certification exam targets individuals who have experience working with Azure data services, including data storage, processing, and analytics. Through the exam, candidates can demonstrate their expertise in designing, building, and maintaining data processing systems on Azure.

Microsoft DP-203 Certification Exam is designed to test your skills and knowledge in data engineering on the Microsoft Azure platform. Data Engineering on Microsoft Azure certification is ideal for data engineers who want to leverage Azure data services to design and implement scalable data solutions. DP-203 exam measures your ability to design and implement data storage solutions, manage data processing, and monitor and optimize data solutions.

Microsoft Data Engineering on Microsoft Azure Sample Questions (Q10-Q15):

NEW QUESTION # 10
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?

Answer: B

Explanation:
Data will be secured by data source. -> Use DataSource as top folder.
Most queries will include a filter on the current year or week -> Use YYYYWW as subfolders.
Common Use Cases
A common use case is to filter data stored in a date (and possibly time) folder structure such as /YYYY/MM
/DD/ or /YYYY/MM/YYYY-MM-DD/. As new data is generated/sent/copied/moved to the storage account, a new folder is created for each specific time period. This strategy organises data into a maintainable folder structure.
Reference: https://www.serverlesssql.com/optimisation/azurestoragefilteringusingfilepath/

NEW QUESTION # 11
You are building an Azure Synapse Analytics dedicated SQL pool that will contain a fact table for transactions from the first half of the year 2020.
You need to ensure that the table meets the following requirements:
Minimizes the processing time to delete data that is older than 10 years Minimizes the I/O for queries that use year-to-date values How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-partition-function-transact-sql

NEW QUESTION # 12
You develop a dataset named DBTBL1 by using Azure Databricks.
DBTBL1 contains the following columns:
SensorTypeID
GeographyRegionID
Year
Month
Day
Hour
Minute
Temperature
WindSpeed
Other
You need to store the data to support daily incremental load pipelines that vary for each GeographyRegionID.
The solution must minimize storage costs.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Graphical user interface, text, application Description automatically generated

NEW QUESTION # 13
You plan to develop a dataset named Purchases by using Azure databricks Purchases will contain the following columns:
* ProductID
* ItemPrice
* lineTotal
* Quantity
* StorelD
* Minute
* Month
* Hour
* Year
* Day
You need to store the data to support hourly incremental load pipelines that will vary for each StoreID. the solution must minimize storage costs. How should you complete the rode? To answer, select the appropriate options In the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: partitionBy
We should overwrite at the partition level.
Example:
df.write.partitionBy("y","m","d")
mode(SaveMode.Append)
parquet("/data/hive/warehouse/db_name.db/" + tableName)
Box 2: ("StoreID", "Year", "Month", "Day", "Hour", "StoreID")
Box 3: parquet("/Purchases")
Reference:
https://intellipaat.com/community/11744/how-to-partition-and-write-dataframe-in-spark-without-deleting- partitions-with-no-new-data

NEW QUESTION # 14
You have an Azure subscription that contains an Azure Synapse Analytics workspace named workspace1.
Workspace1 connects to an Azure DevOps repository named repo1. Repo1 contains a collaboration branch named main and a development branch named branch1. Branch1 contains an Azure Synapse pipeline named pipeline1.
In workspace1, you complete testing of pipeline1.
You need to schedule pipeline1 to run daily at 6 AM.
Which four 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.

Answer:

Explanation:

Explanation:

NEW QUESTION # 15
......

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DP-203 VALID EXAM NOTES, LATEST DP-203 TEST NOTES

DP-203 Valid Exam Notes, Latest DP-203 Test Notes