DP-203 Practice Questions — Page 4

You are designing a partition strategy for a fact table in an Azure Synapse Analytics dedicated SQL pool. The table has the following specifications:

✑ Contain sales data for 20,000 products.

Use hash distribution on a column named ProductID.

✑ Contain 2.4 billion records for the years 2019 and 2020.

Which number of partition ranges provides optimal compression and performance for the clustered columnstore index?

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:

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 <= 20210131

GROUP By SupplierKey, StockItemKey

Which table distribution will minimize query times?

You are implementing a batch dataset in the Parquet format.

Data files will be produced be using Azure Data Factory and stored in Azure Data Lake Storage Gen2. The files will be consumed by an Azure Synapse Analytics serverless SQL pool.

You need to minimize storage costs for the solution.

What should you do?

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.

Select and Place:

You are designing a data mart for the human resources (HR) department at your company. The data mart will contain employee information and employee transactions.

From a source system, you have a flat extract that has the following fields:

✑ EmployeeID

FirstName

✑ LastName

✑ Recipient

✑ GrossAmount

✑ TransactionID

✑ GovernmentID

✑ NetAmountPaid

✑ TransactionDate

You need to design a star schema data model in an Azure Synapse Analytics dedicated SQL pool for the data mart.

Which two tables should you create? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

You have data stored in thousands of CSV files in Azure Data Lake Storage Gen2. Each file has a header row followed by a properly formatted carriage return (/ r) and line feed (/n).

You are implementing a pattern that batch loads the files daily into a dedicated SQL pool in Azure Synapse Analytics by using PolyBase.

You need to skip the header row when you import the files into the data warehouse. Before building the loading pattern, you need to prepare the required database objects in Azure Synapse Analytics.

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: Each correct selection is worth one point

Select and Place:

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.

Hot Area:

You use PySpark in Azure Databricks to parse the following JSON input.

You need to output the data in the following tabular format.

How should you complete the PySpark code? 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 spit bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Select and Place: