Microsoft

DP-203 Data Engineering on Microsoft Azure

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Practice questions are provided in English to match the language commonly used in IT certification exams.

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VendorMicrosoft
CodeDP-203
DurationDuration varies
Questions55 refs
Exam facts

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Certification metadata is preserved from the legacy QZ9 catalog. Questions remain English-only.

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Practice questions are provided in English to match the language commonly used in IT certification exams.

Question 1

You need to ensure that the Twitter feed data can be analyzed in the dedicated SQL pool. The solution must meet the customer sentiment analytic requirements. Which three Transact-SQL DDL commands should you run in sequence? To answer, move the appropriate commands from the list of commands 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. Select and Place:

Question 2

You need to design the partitions for the product sales transactions. The solution must meet the sales transaction dataset requirements. 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. Hot Area:

Question 3

You need to implement the surrogate key for the retail store table. The solution must meet the sales transaction dataset requirements. What should you create?

Question 4

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. Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point. Hot Area:

Question 5

You are designing a fact table named FactPurchase in an Azure Synapse 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. SELECT SupplierKey, StockItemKey, COUNT(*) FROM FactPurchase WHERE DateKey >= 20210101 AND DateKey