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Microsoft 070-458 Exam Syllabus Topics:

Microsoft Transition Your MCTS on SQL Server 2008 to MCSA: SQL Server 2012, Part 2 Sample Questions:

1. HOTSPOT
You are developing a SQL Server Integration Service (SSIS) package. The package loads a customer dimension table by using a data flow task.
Changes to the customer attributes must be tracked over time.
You need to produce a checksum value to identify the rows that have changed since the last Extract, Transform and Load (ETL) process execution. You need to use the least amount of development effort to achieve this goal.
Which transformation should you use? (To answer, select the appropriate transformation in the answer area.)

2. Note: This question is part of a series of questions that use the same set of answer choices. An answer choice may be correct for more than one question in the series.
You administer a SQL Server 2012 server that contains a database named SalesDb. SalesDb contains a schema named Customers that has a table named Regions. A user named userA is a member of a role named Sales.
UserA is granted the Select permission on the Regions table. The Sales role is granted the Select permission on the Customers schema.
You need to ensure that the following requirements are met:
The Sales role does not have the Select permission on the Customers schema.UserA has the Select permission on the Regions table.
Which Transact-SQL statement should you use?

A) DENY SELECT ON Schema:Customers FROM UserA
B) EXEC sp_droprolemember 'Sales', 'UserA'
C) REVOKE SELECT ON Schema::Customers FROM UserA
D) REVOKE SELECT ON Object::Regions FROM UserA
E) DENY SELECT ON Object::Regions FROM Sales
F) DENY SELECT OH Schema:: Customers FROM Soles
G) REVOKE SELECT ON Object::Regions FROM Soles
H) REVOKE SELECT ON Schema:Customers FROM Soles
I) EXEC sp_oddrolemember 'Sales', 'UserA'
J) DENY SELECT ON Object::Regions FROM UserA

3. 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) Script Task
B) Data Conversion
C) Destination Assistant
D) Conditional Split

4. You are developing a SQL Server Integration Services (SSIS) project by using the Project Deployment Model.
The project is deployed to a single SSIS catalog, and transfers data to and from multiple databases hosted on SQL Server.
The project must be configured to be able to export data to and from five different production servers that run SQL Server 2012. Each target server requires different values for connection strings and parameters in the SSIS project.
You need to meet the requirements by using the least amount of administrative effort.
What should you do?

A) For each target server, create separate Environments in the SSIS catalog of the host SQL Server SSIS instance. Select the appropriate Environment at package execution time.
B) For each target server, create a separate package and include each package in the SSIS catalog. Run the appropriate server at package execution time.
C) Create one XML configuration file. Add a connection string for each target server. Choose the appropriate server in the package at build time.
D) Create one registry configuration. Add a connection string for each target server. Choose the appropriate server in the package at build time.

5. HOTSPOT
You are developing a SQL Server Integration Services (SSIS) package to implement an incremental data load strategy. The package reads rows from a source system and compares them to rows in a destination system. New rows will be inserted and changed rows will be updated.
You have used a Lookup transformation and a Conditional Split transformation. The Lookup transformation joins the source and destination table on the business key, and includes all columns from the destination table in the data flow output. The Conditional Split transformation inspects the destination columns and directs data flow to either insert new records or update existing records.
You need to configure the Lookup transformation to ensure that all records flow to the Conditional Split transformation, regardless of whether the rows match an existing row in the destination table.
Which setting should you select? (To answer, select the appropriate option in the answer area.)

Solutions: