Microsoft DP-200 Dumps [June 2020]

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Question No. 1 Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.You develop a data ingestion process that will import data to a Microsoft Azure SQL Data Warehouse.The data to be ingested resides in parquet files stored in an Azure Data Lake Gen 2 storage account.You need to toad the data from the Azure Data Lake Gen 2 storage account into the Azure SQL Data Warehouse. Solution: 1. Create an external data source pointing to the Azure storage account 2. Create an external file format and external table using the external data source 3. Load the data using the INSERT...SELECT statement Does the solution meet the goal?. Yes. No.

Question No. 2 An application will use Microsoft Azure Cosmos DB as its data solution. The application will use the Cassandra API to support a column-based database type that uses containers to store items.You need to provision Azure Cosmos DB. Which container name and item name should you use? Each correct answer presents part of the solutions. NOTE: Each correct answer selection is worth one point. table. collection. graph. entities. rows.

Question No. 3 A company manages several on-premises Microsoft SQL Server databases.You need to migrate the databases to Microsoft Azure by using the backup process of Microsoft SQL Server.Which data technology should you use?. Azure SQL Database Managed Instance. Azure SQL Data Warehouse. Azure Cosmos DB. Azure SQL Database single database.

Question No. 4 You implement an Azure SQL Data Warehouse instance.You plan to migrate the largest fact table to Azure SQL Data Warehouse. The table resides on Microsoft SQL Server on-premises and is 10 terabytes (TB) is size.Incoming queries use the primary key Sale Key column to retrieve data as displayed in the following table: You need to distribute the large fact table across multiple nodes to optimize performance of the table.Which technology should you use?. hash distributed table with clustered ColumnStore index. hash distributed table with clustered index. heap table with distribution replicate. round robin distributed table with clustered index. round robin distributed table with clustered ColumnStore index.