You have a Microsoft Azure SQL data warehouse that has a fact table named FactOrder. FactOrder contains three columns named CustomerID, OrderID, andOrderDateKey. FactOrder is hash distributed on CustomerID. OrderID is the unique identifier for FactOrder. FactOrder contains 3 million rows.Orders are distributed evenly among different customers from a table named dimCustomers that contains 2 million rows.You often run queries that join FactOrder and dimCustomers by selecting and grouping by the OrderDateKey column.You add 7 million rows to FactOrder. Most of the new records have a more recent OrderDateKey value than the previous records.You need to reduce the execution time of queries that group on OrderDateKey and that join dimCustomers and FactOrder.What should you do?
DRAG DROP -You have a Microsoft Azure SQL data warehouse.You plan to reference data from Azure Blob storage. The data is stored in the GZIP compressed format. The blob storage requires authentication.You create a master key for the data warehouse and a database schema.You need to reference the data without importing the data to the data warehouse.Which four statements should you execute in sequence? To answer, move the appropriate statements from the list of statements to the answer area and arrange them in the correct order.Select and Place:
You need to connect to a Microsoft Azure SQL data warehouse from an Azure Machine Learning experiment.Which data source should you use?
DRAG DROP -You have eight tab-delimited text files. Each file has 100 GB of order history data that is separated by year and by month. The files are stored on a Microsoft Azure virtual machine that has eight processor cores. Each file is stored on a separate SSD drive on the virtual machine. There is a dedicated controller for each drive.You define a table in Azure SQL Data Warehouse that is partitioned by year and by month, and has a clustered index.You need to load the data from the files to Azure SQL Data Warehouse. The solution must minimize load times and must use multiple compute nodes simultaneously.Which four 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.Select and Place:
You have a Microsoft Azure SQL data warehouse.You need to configure Data Warehouse Units (DWUs) to ensure that you have six compute nodes. The solution must minimize costs.Which value should set for the DWUs?
Note: This question is part of 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 section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.You are troubleshooting a slice in Microsoft Azure Data Factory for a dataset that has been in a waiting state for the last three days. The dataset should have been ready two days ago.The dataset is being produced outside the scope of Azure Data Factory. The dataset is defined by using the following JSON code.You need to modify the JSON code to ensure that the dataset is marked as ready whenever there is data in the data store.Solution: You add conditions to the policy.Does this meet the goal?
