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Examples of 70 463 training kit pdf




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Q81. You are the Master Data Services (MDS) administrator at your company. 

An existing user needs to integrate data from other systems into MDS. 

You need to give the user permissions to integrate data. 

Which user management menu item should you select? (To answer, configure the 

appropriate option or options in the dialog box in the answer area.) 

Answer: 


Q82. You are designing a data warehouse with two fact tables. The first table contains sales per month and the second table contains orders per day. 

Referential integrity must be enforced declaratively. 

You need to design a solution that can join a single time dimension to both fact tables. 

What should you do? 

A. Join the two fact tables. 

B. Merge the fact tables. 

C. Create a time dimension that can join to both fact tables at their respective granularity. 

D. Create a surrogate key for the time dimension. 

Answer:

Explanation: References: http://msdn.microsoft.com/en-us/library/ms174537.aspx http://technet.microsoft.com/en-us/library/ms174832.aspx http://msdn.microsoft.com/en-us/library/ms174884.aspx http://decipherinfosys.wordpress.com/2007/02/01/surrogate-keys-vs-natural-keys-for-primary-key/ http://www.agiledata.org/essays/keys.html http://www.databasejournal.com/features/mssql/article.php/3922066/SQL-Server-Natural-Key-Verses-Surrogate-Key.htm http://www.jamesserra.com/archive/2012/01/surrogate-keys/ 


Q83. You are developing a SQL Server Integration Services (SSIS) package that imports data into a data warehouse. 

You add an Execute SQL task to the control flow. The task must execute a simple INSERT statement. 

The task has the following requirements: 

. The INSERT statement must use the value of a string package variable. The variable name is StringVar. . The Execute SQL task must use an OLE DB Connection Manager. 

In the Parameter Mapping tab of the Execute SQL task, StringVar has been added as the only parameter. 

You must configure the SQLStatement property of the Execute SQL task. 

Which SQL statement should you use? 

A. INSERT INTO dbo.Table (variablevalue) VALUES (@StringVar) 

B. INSERT INTO dbo.Table (variablevalue) VALUES ($Project::StringVar) 

C. INSERT INTO dbo.Table (variablevalue) VALUES (?) 

D. INSERT INTO dbo.Table (variablevalue) VALUES ($Package::StringVar) 

Answer:


Q84. You are designing a data warehouse that uses SQL Server 2012. You are preparing to update the contents of a fact table that contains a non-clustered columnstore index. 

You need to run an update statement against the table. 

What should you do first? 

A. Pause the columnstore index. 

B. Change the recovery model of the database to Bulk-logged. 

C. Change the non-clustered columnstore index to be a clustered columnstore index. 

D. Drop the columnstore index. 

Answer:


Q85. You are using SQL Server Data Tools to develop a SQL Server Integration Services (SSIS) project. 

The first package that you create in this project contains a package connection that accesses a Microsoft Excel file. Additional packages in the project must also access this file. 

You need to define and reuse the Excel file connection in all project packages. 

What should you do? 

A. Copy the package Connection Manager and paste it in the second package. 

B. Set the RetainSameConnection property of the package Connection Manager to True. 

C. Convert the package Connection Manager in the first package to a project Connection Manager. 

D. Convert the project to the Package Deployment model. 

Answer:


Q86. You are designing a SQL Server Integration Services (SSIS) package that uses the Fuzzy Lookup transformation. 

The reference data to be used in the transformation does not change. 

You need to reuse the Fuzzy Lookup match index to increase performance and reduce maintenance. 

What should you do? 

A. Select the GenerateAndPersistNewIndex option in the Fuzzy Lookup Transformation Editor. 

B. Select the GenerateNewIndex option in the Fuzzy Lookup Transformation Editor. 

C. Select the DropExistingMatchlndex option in the Fuzzy Lookup Transformation Editor. 

D. Execute the sp_FuzzyLookupTableMaintenanceUninstall stored procedure. 

E. Execute the sp_FuzzyLookupTableMaintenanceInvoke stored procedure. 

Answer:

Reference: http://msdn.microsoft.com/en-us/library/ms137786.aspx 


Q87. You are developing a SQL Server Integration Services (SSIS) package to implement an incremental data load strategy. The package reads data from a source system that uses the SQL Server change data capture (CDC) feature. 

You have added a CDC Source component to the data flow to read changed data from the source system. 

You need to add a data flow transformation to redirect rows for separate processing of insert, update, and delete operations. 

Which data flow transformation should you use? 

A. DQS Cleansing 

B. Merge Join 

C. Pivot 

D. Conditional Split 

Answer:


Q88. You administer a large and complex SQL Server Integration Services (SSIS) solution in the SSIS catalog. 

You are instructed to execute a package by using PowerShell. You need to create the correct PowerShell command. 

How should you place the four code segments in sequence? (To answer, move the appropriate code segments from the list of code segments to the answer area and arrange them in the correct order.) 

Answer: 


Q89. You are designing a SQL Server Integration Services (SSIS) data flow to load sales transactions from a source system into a data warehouse hosted on Windows Azure SQL Database. One of the columns in the data source is named ProductCode. 

Some of the data to be loaded will reference products that need special processing logic in the data flow. 

You need to enable separate processing streams for a subset of rows based on the source product code. 

Which Data Flow transformation should you use? 

A. Multicast 

B. Conditional Split 

C. Destination Assistant 

D. Script Task 

Answer:


Q90. You are the data steward for a Business Intelligence project. 

You must identify duplicate rows stored in a SQL Server table and output discoveries to a CSV file. A Data Quality Services (DQS) knowledge base has been created to support this project. 

You need to produce the CSV file with the least amount of development effort. 

What should you do? 

A. Create an Integration Services package and use a Fuzzy Lookup transform. 

B. Create a Master Data Services (MDS) model. 

C. Create a Data Quality Project. 

D. Create an Integration Services package and use a DQS Cleansing transform. 

E. Create an Integration Services package and use a Fuzzy Grouping transform. 

Answer:

Explanation: The DQS Cleansing transformation uses Data Quality Services (DQS) to correct data from a connected data source, by applying approved rules that were created for the connected data source or a similar data source. To determine whether the data has to be corrected, the DQS Cleansing transformation processes data from an input column when the following conditions are true: 

* The column is selected for data correction. 

* The column data type is supported for data correction. 

* The column is mapped a domain that has a compatible data type. 

* The transformation also includes an error output that you configure to handle row-level errors