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You administer a Windows Azure SQL Database database named Human_Resources. The database contains 2 tables named Employees and SalaryDetails.
You add two Windows groups as logins for the server:
---
CORP\Employees - All company employees CORP\HRAdmins - HR administrators only HR Administrators are also company employees.
You need to grant users access according to the following requirements:
-
CORP\Employees should have SELECT access to the Employees table.
- Only users in CORP\HRAdmins should have SELECT access to the SalaryDetails table. - Logins are based only on Windows security groups.
What should you do?

• A. Create a database role called HRAdmins.
  Add all company employees except HR administrators to the db_datareader role,
  Add all HR administrators to the HRAdmins role.
  Grant SELECT access to the SalaryDetails table to the HRAdmins role.
  Deny SELECT access to the SalaryDetails table to the db_datareader role.
• B. Create two database roles: Employees and HRAdmins.
  Add all company employees to the Employees role.
  Add HR administrators to the HRAdmins role.
  Grant SELECT access to all tables except SalaryDetails to the Employees role.
  Grant SELECT access to the SalaryDetails table to the HRAdmins role.
  Deny SELECT access to the SalaryDetails table to the Employees role.
• C. Create a database role called Employees.
  Add CORP\Employees to the db_datareader role.
  Add all company employees except HR administrators to the Employees role.
  Deny SELECT access to the SalaryDetails table to the Employees role.
• D. Create a database role called Employees.
  Add all HR administrators to the db_datareader role.
  Add all company employees to the Employees role.
  Grant SELECT access to all tables except the SalaryDetails table to the Employees role.
  Deny SELECT access to the SalaryDetails table to the Employees role.

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. Pivot
• B. DQS Cleansing
• C. Merge Join
• D. CDC Splitter

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. Pivot
• B. Audit
• C. CDC Splitter
• D. Merge

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You are developing a SQL Server Integration Services (SSIS) project with multiple packages to copy data to a Windows Azure SQL Database database.
An automated process must validate all related Environment references, parameter data types, package references, and referenced assemblies. The automated process must run on a regular schedule.
You need to establish the automated validation process by using the least amount of administrative effort.
What should you do?

• A. Store the System::SourceID variable in the custom log table.
• B. Store the System::ServerExecutionID variable in the custom log table.
• C. Use an event handler for OnError for the package.
• D. Enable the SSIS log provider for SQL Server for OnTaskFailed in the package control flow.
• E. Create a SQL Server Agent job to execute the SSISDB.catalog.create_execution and SSISDB.catalog.*tart_execution stored procedures.
• F. Deploy the .ispac file by using the Integration Services Deployment Wizard.
• G. Create a table to store error information. Create an error output on each data flow destination that writes OnError event text to the table.
• H. Create a table to store error information. Create an error output on each data flow destination that writes OnTaskFailed event text to the table.
• I. Store the System::ExecutionInstanceGUID variable in the custom log table.
• J. Enable the SSIS log provider for SQL Server for OnError in the package control flow.
• K. Use an event handler for OnTaskFailed for the package.
• L. View the job history for the SQL Server Agent job.
• M. Create a SQL Server Agent job to execute the SSISDB.catalog.validate_package stored procedure.
• N. Deploy the project by using dtutil.exe with the /COPY DTS option.
• O. Create a SQL Server Agent job to execute the SSISDB.catalog.validate_project stored procedure.
• P. Use an event handler for OnError for each data flow task.
• Q. Deploy the project by using dtutil.exe with the /COPY SQL option.
• R. View the All Messages subsection of the All Executions report for the package.

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 Microsoft SQL Server 2012 server that hosts a transactional database and a reporting database. The transactional database is updated through a web application and is operational throughout the day. The reporting database is only updated from the transactional database.
The recovery model and backup schedule are configured as shown in the following table:

The differential backup of the reporting database fails. Then, the reporting database fails at
14:00 hours.
You need to ensure that the reporting database is restored. You also need to ensure that
data loss is minimal.
What should you do?

• A. Perform a page restore.
• B. Perform a partial restore.
• C. Restore the latest full backup.
• D. Restore the latest full backup. Then, restore the latest differential backup.
• E. Restore the latest full backup, and restore the latest differential backup. Then, restore each log backup taken before the time of failure from the most recent differential backup.
• F. Perform a point-in-time restore.
• G. Restore the latest full backup, and restore the latest differential backup. Then, restore the latest log backup.
• H. Restore the latest full backup. Then, restore each differential backup taken before the time of failure from the most recent full backup.