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Free Microsoft DP-203 Exam Dumps

Here you can find all the free questions related with Microsoft Data Engineering on Microsoft Azure (DP-203) exam. You can also find on this page links to recently updated premium files with which you can practice for actual Microsoft Data Engineering on Microsoft Azure Exam. These premium versions are provided as DP-203 exam practice tests, both as desktop software and browser based application, you can use whatever suits your style. Feel free to try the Data Engineering on Microsoft Azure Exam premium files for free, Good luck with your Microsoft Data Engineering on Microsoft Azure Exam.
Question No: 31

MultipleChoice

You are designing a fact table named FactPurchase in an Azure Synaps Analytics dedicated SQL pool. The table contains purchases from suppliers for a retail store. FactPurchase will contain the following columns.

FactPurchase will have 1 million rows of data added daily and will contain three years of data.

Transact-SQL queries similar to the following query will be executed daily.

Options
Question No: 32

Hotspot

You have an Azure Synapse Analytics dedicated SQL pool that contains the users shown in the following table.

User1 executes a query on the database, and the query returns the results shown in the following exhibit.

User1 is the only user who has access to the unmasked data.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.

Question No: 33

MultipleChoice

You are designing an inventory updates table in an Azure Synapse Analytics dedicated SQL pool. The table will have a clustered columnstore index and will include the following columns:

* EventDate: 1 million per day

* EventTypelD: 10 million per event type

* WarehouselD: 100 million per warehouse

* ProductCategoryTypeiD: 25 million per product category type

You identify the following usage patterns:

Analyst will most commonly analyze transactions for a warehouse.

Queries will summarize by product category type, date, and/or inventory event type.

You need to recommend a partition strategy for the table to minimize query times.

On which column should you recommend partitioning the table?

Options
Question No: 34

Hotspot

You develop a dataset named DBTBL1 by using Azure Databricks.

DBTBL1 contains the following columns:

* SensorTypelD

* 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.

Question No: 35

DragDrop

You have an Apache Spark DataFrame named temperatures. A sample of the data is shown in the following table.

You need to produce the following table by using a Spark SQL query.

How should you complete the query? 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.

Question No: 36

Hotspot

You need to collect application metrics, streaming query events, and application log messages for an Azure Databrick cluster.

Which type of library and workspace should you implement? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

References:

Question No: 37

OrderList

You plan to monitor an Azure data factory by using the Monitor & Manage app.

You need to identify the status and duration of activities that reference a table in a source database.

Which three actions should you perform in sequence? To answer, move the actions from the list of actions to the answer are and arrange them in the correct order.

References:

Question No: 38

Hotspot

You are developing a solution using a Lambda architecture on Microsoft Azure.

The data at test layer must meet the following requirements:

Data storage:

*Serve as a repository (or high volumes of large files in various formats.

*Implement optimized storage for big data analytics workloads.

*Ensure that data can be organized using a hierarchical structure.

Batch processing:

*Use a managed solution for in-memory computation processing.

*Natively support Scala, Python, and R programming languages.

*Provide the ability to resize and terminate the cluster automatically.

Analytical data store:

*Support parallel processing.

*Use columnar storage.

*Support SQL-based languages.

You need to identify the correct technologies to build the Lambda architecture.

Which technologies should you use? To answer, select the appropriate options in the answer area

NOTE: Each correct selection is worth one point.

References:

Question No: 39

Hotspot

You have a Microsoft SQL Server database that uses a third normal form schema.

You plan to migrate the data in the database to a star schema in an A?\ire Synapse Analytics dedicated SQI pool.

You need to design the dimension tables. The solution must optimize read operations.

What should you include in the solution? to answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question No: 40

Hotspot

You are designing an application that will store petabytes of medical imaging data

When the data is first created, the data will be accessed frequently during the first week. After one month, the data must be accessible within 30 seconds, but files will be accessed infrequently. After one year, the data will be accessed infrequently but must be accessible within five minutes.

You need to select a storage strategy for the dat

a. The solution must minimize costs.

Which storage tier should you use for each time frame? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

References:


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