You are a database administrator for an e-commerce company that runs an online store. The company has the databases described in the following table.

Each week, you import a product catalog from a partner company to a staging table in DB2.
You need to create a stored procedure that will update the staging table by inserting new products and deleting discontinued products.
What should you use?

You are a database administrator for an e-commerce company that runs an online store. The company has the databases described in the following table.

Each day, you publish a Microsoft Excel workbook that contains a list of product names and current prices to an external website. Suppliers update pricing information in the workbook. Each supplier saves the workbook with a unique name.
Each night, the Products table is deleted and refreshed from MDS by using a Microsoft SQL Server Integration
Services (SSIS) package. All files must be loaded in sequence.
You need to add a data flow in an SSIS package to perform the Excel files import in the data warehouse.
What should you use? package that uses the Excel Source and the SQL Server Destination in the data flow.

You are a database administrator for an e-commerce company that runs an online store. The company has three databases as described in the following table.

You plan to load at least one million rows of data each night from DB1 into the OnlineOrder table. You must load data into the correct partitions using a parallel process.
You create 24 Data Flow tasks. You must place the tasks into a component to allow parallel load. After all of the load processes compete, the process must proceed to the next task.
You need to load the data for the OnlineOrder table.
What should you use?

HOTSPOT
You have a Microsoft SQL Server Data Warehouse instance that uses SQL Server Analysis Services (SSAS).
The instance has a cube containing data from an on-premises SQL Server instance. A measure named
Measure1 is configured to calculate the average of a column.
You plan to change Measure1 to a full additive measure and create a new measure named Measure2 that evaluates data based on the first populated row.
You need to configure the measures.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

contains data.

HOTSPOT
You deploy a Microsoft Azure SQL Data Warehouse instance. The instance must be available eight hours each day.
You need to pause Azure resources when they are not in use to reduce costs.
What will be the impact of pausing resources? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

the database during the night and on weekends, you can pause it during those times, and resume it during theday. You won’t be charged for DWUs while the database is paused.

DRAG DROP
You have a data warehouse.
You need to move a table named Fact.ErrorLog to a new filegroup named LowCost.
Which three 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:

filegroup always contains one or more files) this may seem strange at first this is not that surprising when you remember that the leaf level of the clustered index actually contains the table data. Moving the clustered index can be done in a single statement using the

HOTSPOT
Your company has a Microsoft SQL Server data warehouse instance. The human resources department assigns all employees a unique identifier. You plan to store this identifier in a new table named Employee.
You create a new dimension to store information about employees by running the following Transact-SQL statement:

You have not added data to the dimension yet. You need to modify the dimension to implement a new column named [EmployeeKey]. The new column must use unique values.
How should you complete the Transact-SQL statements? To answer, select the appropriate Transact-SQL segments in the answer area.
Hot Area:

HOTSPOT
You manage a data warehouse in a Microsoft SQL Server instance. Company employee information is imported from the human resources system to a table named Employee in the data warehouse instance. The
Employee table was created by running the query shown in the Employee Schema exhibit. (Click the Exhibit button.)

The personal identification number is stored in a column named EmployeeSSN. All values in the EmployeeSSN column must be unique.
When importing employee data, you receive the error message shown in the SQL Error exhibit. (Click theExhibit button.).

You determine that the Transact-SQL statement shown in the Data Load exhibit in the cause of the error. (Click the Exhibit button.)

You remove the constraint on the EmployeeSSN column. You need to ensure that values in the EmployeeSSN column are unique.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:

non-NULL values but accept multiple NULL values.

HOTSPOTYou manage an inventory system that has a table named Products. The Products table has several hundred columns.
You generate a report that relates two columns named ProductReference and ProductName from the Products table. The result is sorted by a column named QuantityInStock from largest to smallest.
You need to create an index that the report can use.
How should you complete the Transact-SQL statement? To answer, select the appropriate Transact-SQL segments in the answer area.
Hot Area:

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. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it 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 optimize the storage for the data warehouse.
What change should you make?