You have a data warehouse named DW1. All data files are located on drive E.You expect queries that pivot hundreds of millions of rows for each report.You need to modify the data files to minimize latency.What should you do?
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in the series.Start of repeated scenario -You have a Microsoft SQL Server data warehouse instance that supports several client applications.The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket, and Fact.Order. TheDimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it to daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.The following requirements must be met:✑ Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.✑ Partition the Fact.Order table and retain a total of seven years of data.✑ Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.✑ Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.✑ Incrementally load all tables in the database and ensure that all incremental changes are processed.✑ Maximize the performance during the data loading process for the Fact.Order partition.✑ Ensure that historical data remains online and available for querying.✑ Reduce ongoing storage costs while maintaining query performance for current data.You are not permitted to make changes to the client applications.End of repeated scenario -You need to implement the data partitioning strategy.How should you partition the Fact.Order table?
DRAG DROP -You are designing the data warehouse to import data from three different environments. The sources for the data warehouse will be loaded every hour.Scenario A includes tables in a Microsoft Azure SQL Database:✑ Millions of updates and inserts occur per hour✑ A periodic query of the current state of rows that have changed is needed.✑ The change detection method needs to be able to ignore changes to some columns in a table.✑ The source database is a member of an AlwaysOn Availability group.Scenario B includes tables with status update changes:✑ Tracking the duration between workflow statuses.✑ All transactions must be captured, including before/after values for UPDATE statements.✑ To minimize impact to performance, the change strategy adopted should be asynchronous.Scenario C includes an external source database:✑ Updates and inserts occur regularly.✑ No changes to the database should require code changes to any reports or applications.✑ Columns are added and dropped to tables in the database periodically. These schema changes should not require any interruption or reconfiguration of the change detection method chose.✑ Data is frequently queried as the entire row appeared at a past point in time.All tables have primary keys.You need to load each data source. You must minimize complexity, disk storage, and disruption to the data sources and the existing data warehouse.Which change detection method should you use for each scenario? To answer, drag the appropriate loading methods to the correct scenarios. Each source may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.NOTE: Each correct selection is worth one point.Select and Place:
HOTSPOT -You are developing a data warehouse. You run the following Transact-SQL statement:Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.NOTE: Each correct selection is worth one point.Hot Area:
HOTSPOT -You are designing a data transformation process using Microsoft SQL Server Integration Services (SSIS).You need to ensure that every row is compared with every other row during transformation.What should you configure? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point.Hot Area:
You are the administrator of a Microsoft SQL Server Master Data Services (MDS) model. The model was developed to provide consistent and validated snapshots of master data to the ETL processes by using subscription views. A new model version has been created.You need to ensure that the ETL processes retrieve the latest snapshot of master data.What should you do?
