Microsoft DP-203 Exam Dumps

You use Azure Data Lake Storage Gen2.

You need to ensure that workloads can use filter predicates and column projections to filter data at the time the data is read from disk.

Which two actions should you perform? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

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You have an Azure subscription that contains an Azure Blob Storage account named storage1 and an Azure Synapse Analytics dedicated SQL pool named Pool1.

You need to store data in storage1. The data will be read by Pool1. The solution must meet the following requirements:

Enable Pool1 to skip columns and rows that are unnecessary in a query.

Automatically create column statistics.

Minimize the size of files.

Which type of file should you use?

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You have an Azure Synapse Analytics dedicated SQL pool named Pool1.

Pool! contains two tables named SalesFact_Stagmg and SalesFact. Both tables have a matching number of partitions, all of which contain data.

You need to load data from SalesFact_Staging to SalesFact by switching a partition.

What should you specify when running the alter TABLE statement?

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You have a table in an Azure Synapse Analytics dedicated SQL pool. The table was created by using the following Transact-SQL statement.

You need to alter the table to meet the following requirements:

Ensure that users can identify the current manager of employees.

Support creating an employee reporting hierarchy for your entire company.

Provide fast lookup of the managers' attributes such as name and job title.

Which column should you add to the table?

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Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have an Azure Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.

You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics.

You need to prepare the files to ensure that the data copies quickly.

Solution: You convert the files to compressed delimited text files.

Does this meet the goal?

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