You manage Master Data Services (MDS). You plan to create entities and attributes and load them with the data. You also plan to match data before loading it into Data Quality Services (DQS).You need to recommend a solution to perform the actions.What should you recommend?
DRAG DROP -You are developing a Microsoft SQL Server Integration Services (SSIS) package to incrementally load new and changed records from a data source.The SSIS package must load new records into Table1 and updated records into Table1_Updates. After loading records, the package must call a Transact-SQL statement to process updated rows according to existing business logic.You need to complete the design of the SSIS package.Which tasks should you use? To answer, drag the appropriate SSIS objects to the correct targets. Each SSIS object 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:
You have a data warehouse named DW1 that contains 20 years of data. DW1 contains a very large fact table. New data is loaded to the fact table monthly.Many reports query DW1 for the past year of data.Users frequently report that the reports are slow.You need to modify the fact table to minimize the amount of time it takes to run the reports. The solution must ensure that other reports can continue to be generated from DW1.What should you do?
DRAG DPOP -You have a database named OnlineSales that contains a table named Customers. You plan to copy incremental changes from the Customers table to a data warehouse every hour.You need to enable change tracking for the Customers table.How should you complete the Transact-SQL statements? To answer, drag the appropriate Transact-SQL segments to the correct locations. Each Transact-SQL segment 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.Select and Place:
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.You have a database named DB1.You need to track auditing data for four tables in DB1 by using change data capture.Which stored procedure should you execute first?
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 this series.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 data in the data warehouse is stored on a shared SAN. 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.You have the following requirements:✑ 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.You need to configure data loading for the tables.Which data loading technology should you use for each table? To answer, select the appropriate options in the answer area.Hot Area:
