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Category: 70-532 (v.2)

Exam 70-532: Developing Microsoft Azure Solutions (update November 5th, 2016)

You need to configure storage for the solution

###BeginCaseStudy###
Case Study: 1
Web-based Solution
Background
You are developing a web-based solution that students and teachers can use to collaborate on
written assignments. Teachers can also use the solution to detect potential plagiarism, and
they can manage assignments and data by using locally accessible network shares.
Business Requirements
The solution consists of three parts: a website where students work on assignments and where
teachers view and grade assignments, the plagiarism detection service, and a connector
service to manage data by using a network share.
The system availability agreement states that operating hours are weekdays between midnight
on Sunday and midnight on Friday.
Plagiarism Service
The plagiarism detection portion of the solution compares a new work against a repository of
existing works. The initial dataset contains a large database of existing works. Teachers
upload additional works. In addition, the service itself searches for other works and adds
those works to the repository.
Technical Requirements
Website
The website for the solution must run on an Azure web role.
Plagiarism Service
The plagiarism detection service runs on an Azure worker role. The computation uses a
random number generator. Certain values can result in an infinite loop, so if a particular work
item takes longer than one hour to process, other instances of the service must be able to
process the work item. The Azure worker role must fully utilize all available CPU cores.
Computation results are cached in local storage resources to reduce computation time.
Repository of Existing Works
The plagiarism detection service works by comparing student submissions against a
repository of existing works by using a custom matching algorithm. The master copies of the
works are stored in Azure blob storage. A daily process synchronizes files between blob
storage and a file share on a virtual machine (VM). As part of this synchronization, the
ExistingWorkRepository object adds the files to Azure Cache to improve the display
performance of the website. If a student’s submission is overdue, the Late property is set to
the number of days that the work is overdue. Work files can be downloaded by using the
Work action of the TeacherController object
Network Connector
Clients can interact with files that are stored on the VM by using a network share. The
network permissions are configured in a startup task in the plagiarism detection service.
Service Monitoring
The CPU of the system on which the plagiarism detection service runs usually limits the
plagiarism detection service. However, certain combinations of input can cause memory
issues, which results in decreased performance. The average time for a given computation is

45 seconds. Unexpected results during computations might cause a memory dump. Memory
dump files are stored in the Windows temporary folder on the VM that hosts the worker role.
Security
Only valid users of the solution must be able to view content that users submit. Privacy
regulations require that all content that users submit must be retained only in Azure Storage.
All documents that students upload must be signed by using a certificate named DocCert that
is installed in both the worker role and the web role.
Solution Development
You use Microsoft Visual Studio 2013 and the Azure emulator to develop and test both the
compute component and the storage component. New versions of the solution must undergo
testing by using production data.
Scaling
During non operating hours, the plagiarism detection service should not use more than 40
CPU cores. During operating hours, the plagiarism detection service should automatically
scale when 500 work items are waiting to be processed. To facilitate maintenance of the
system, no plagiarism detection work should occur during non operating hours. All ASP.NET
MVC actions must support files that are up to 2 GB in size.
Biographical Information
Biographical information about students and teachers is stored in a Microsoft Azure SQL
database. All services run in the US West region. The plagiarism detection service runs on
Extra Large instances.
Solution Structure
Relevant portions of the solution files are shown in the following code segments. Line
numbers in the code segments are included for reference only and include a two character
prefix that denotes the specific file to which the line belongs.


###EndCaseStudy###

DRAG DROP
You need to configure storage for the solution.
What should you do? To answer, drag the appropriate XML segments to the correct locations. Each XML
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.

You need to copy the repository of existing works that the plagiarism detection service uses

###BeginCaseStudy###
Case Study: 1
Web-based Solution
Background
You are developing a web-based solution that students and teachers can use to collaborate on
written assignments. Teachers can also use the solution to detect potential plagiarism, and
they can manage assignments and data by using locally accessible network shares.
Business Requirements
The solution consists of three parts: a website where students work on assignments and where
teachers view and grade assignments, the plagiarism detection service, and a connector
service to manage data by using a network share.
The system availability agreement states that operating hours are weekdays between midnight
on Sunday and midnight on Friday.
Plagiarism Service
The plagiarism detection portion of the solution compares a new work against a repository of
existing works. The initial dataset contains a large database of existing works. Teachers
upload additional works. In addition, the service itself searches for other works and adds
those works to the repository.
Technical Requirements
Website
The website for the solution must run on an Azure web role.
Plagiarism Service
The plagiarism detection service runs on an Azure worker role. The computation uses a
random number generator. Certain values can result in an infinite loop, so if a particular work
item takes longer than one hour to process, other instances of the service must be able to
process the work item. The Azure worker role must fully utilize all available CPU cores.
Computation results are cached in local storage resources to reduce computation time.
Repository of Existing Works
The plagiarism detection service works by comparing student submissions against a
repository of existing works by using a custom matching algorithm. The master copies of the
works are stored in Azure blob storage. A daily process synchronizes files between blob
storage and a file share on a virtual machine (VM). As part of this synchronization, the
ExistingWorkRepository object adds the files to Azure Cache to improve the display
performance of the website. If a student’s submission is overdue, the Late property is set to
the number of days that the work is overdue. Work files can be downloaded by using the
Work action of the TeacherController object
Network Connector
Clients can interact with files that are stored on the VM by using a network share. The
network permissions are configured in a startup task in the plagiarism detection service.
Service Monitoring
The CPU of the system on which the plagiarism detection service runs usually limits the
plagiarism detection service. However, certain combinations of input can cause memory
issues, which results in decreased performance. The average time for a given computation is

45 seconds. Unexpected results during computations might cause a memory dump. Memory
dump files are stored in the Windows temporary folder on the VM that hosts the worker role.
Security
Only valid users of the solution must be able to view content that users submit. Privacy
regulations require that all content that users submit must be retained only in Azure Storage.
All documents that students upload must be signed by using a certificate named DocCert that
is installed in both the worker role and the web role.
Solution Development
You use Microsoft Visual Studio 2013 and the Azure emulator to develop and test both the
compute component and the storage component. New versions of the solution must undergo
testing by using production data.
Scaling
During non operating hours, the plagiarism detection service should not use more than 40
CPU cores. During operating hours, the plagiarism detection service should automatically
scale when 500 work items are waiting to be processed. To facilitate maintenance of the
system, no plagiarism detection work should occur during non operating hours. All ASP.NET
MVC actions must support files that are up to 2 GB in size.
Biographical Information
Biographical information about students and teachers is stored in a Microsoft Azure SQL
database. All services run in the US West region. The plagiarism detection service runs on
Extra Large instances.
Solution Structure
Relevant portions of the solution files are shown in the following code segments. Line
numbers in the code segments are included for reference only and include a two character
prefix that denotes the specific file to which the line belongs.


###EndCaseStudy###

You are deploying the web based solution in the West Europe region.
You need to copy the repository of existing works that the plagiarism detection service uses. You must achieve
this goal by using the least amount of time.
What should you do?

How should you complete the relevant code?

###BeginCaseStudy###
Case Study: 1
Web-based Solution
Background
You are developing a web-based solution that students and teachers can use to collaborate on
written assignments. Teachers can also use the solution to detect potential plagiarism, and
they can manage assignments and data by using locally accessible network shares.
Business Requirements
The solution consists of three parts: a website where students work on assignments and where
teachers view and grade assignments, the plagiarism detection service, and a connector
service to manage data by using a network share.
The system availability agreement states that operating hours are weekdays between midnight
on Sunday and midnight on Friday.
Plagiarism Service
The plagiarism detection portion of the solution compares a new work against a repository of
existing works. The initial dataset contains a large database of existing works. Teachers
upload additional works. In addition, the service itself searches for other works and adds
those works to the repository.
Technical Requirements
Website
The website for the solution must run on an Azure web role.
Plagiarism Service
The plagiarism detection service runs on an Azure worker role. The computation uses a
random number generator. Certain values can result in an infinite loop, so if a particular work
item takes longer than one hour to process, other instances of the service must be able to
process the work item. The Azure worker role must fully utilize all available CPU cores.
Computation results are cached in local storage resources to reduce computation time.
Repository of Existing Works
The plagiarism detection service works by comparing student submissions against a
repository of existing works by using a custom matching algorithm. The master copies of the
works are stored in Azure blob storage. A daily process synchronizes files between blob
storage and a file share on a virtual machine (VM). As part of this synchronization, the
ExistingWorkRepository object adds the files to Azure Cache to improve the display
performance of the website. If a student’s submission is overdue, the Late property is set to
the number of days that the work is overdue. Work files can be downloaded by using the
Work action of the TeacherController object
Network Connector
Clients can interact with files that are stored on the VM by using a network share. The
network permissions are configured in a startup task in the plagiarism detection service.
Service Monitoring
The CPU of the system on which the plagiarism detection service runs usually limits the
plagiarism detection service. However, certain combinations of input can cause memory
issues, which results in decreased performance. The average time for a given computation is

45 seconds. Unexpected results during computations might cause a memory dump. Memory
dump files are stored in the Windows temporary folder on the VM that hosts the worker role.
Security
Only valid users of the solution must be able to view content that users submit. Privacy
regulations require that all content that users submit must be retained only in Azure Storage.
All documents that students upload must be signed by using a certificate named DocCert that
is installed in both the worker role and the web role.
Solution Development
You use Microsoft Visual Studio 2013 and the Azure emulator to develop and test both the
compute component and the storage component. New versions of the solution must undergo
testing by using production data.
Scaling
During non operating hours, the plagiarism detection service should not use more than 40
CPU cores. During operating hours, the plagiarism detection service should automatically
scale when 500 work items are waiting to be processed. To facilitate maintenance of the
system, no plagiarism detection work should occur during non operating hours. All ASP.NET
MVC actions must support files that are up to 2 GB in size.
Biographical Information
Biographical information about students and teachers is stored in a Microsoft Azure SQL
database. All services run in the US West region. The plagiarism detection service runs on
Extra Large instances.
Solution Structure
Relevant portions of the solution files are shown in the following code segments. Line
numbers in the code segments are included for reference only and include a two character
prefix that denotes the specific file to which the line belongs.


###EndCaseStudy###

HOTSPOT
You need to find all existing works about World History that are overdue and are stored in the repository.
How should you complete the relevant code? To answer, select the appropriate option or options in the
answer area.

How should you complete the relevant code?

###BeginCaseStudy###
Case Study: 1
Web-based Solution
Background
You are developing a web-based solution that students and teachers can use to collaborate on
written assignments. Teachers can also use the solution to detect potential plagiarism, and
they can manage assignments and data by using locally accessible network shares.
Business Requirements
The solution consists of three parts: a website where students work on assignments and where
teachers view and grade assignments, the plagiarism detection service, and a connector
service to manage data by using a network share.
The system availability agreement states that operating hours are weekdays between midnight
on Sunday and midnight on Friday.
Plagiarism Service
The plagiarism detection portion of the solution compares a new work against a repository of
existing works. The initial dataset contains a large database of existing works. Teachers
upload additional works. In addition, the service itself searches for other works and adds
those works to the repository.
Technical Requirements
Website
The website for the solution must run on an Azure web role.
Plagiarism Service
The plagiarism detection service runs on an Azure worker role. The computation uses a
random number generator. Certain values can result in an infinite loop, so if a particular work
item takes longer than one hour to process, other instances of the service must be able to
process the work item. The Azure worker role must fully utilize all available CPU cores.
Computation results are cached in local storage resources to reduce computation time.
Repository of Existing Works
The plagiarism detection service works by comparing student submissions against a
repository of existing works by using a custom matching algorithm. The master copies of the
works are stored in Azure blob storage. A daily process synchronizes files between blob
storage and a file share on a virtual machine (VM). As part of this synchronization, the
ExistingWorkRepository object adds the files to Azure Cache to improve the display
performance of the website. If a student’s submission is overdue, the Late property is set to
the number of days that the work is overdue. Work files can be downloaded by using the
Work action of the TeacherController object
Network Connector
Clients can interact with files that are stored on the VM by using a network share. The
network permissions are configured in a startup task in the plagiarism detection service.
Service Monitoring
The CPU of the system on which the plagiarism detection service runs usually limits the
plagiarism detection service. However, certain combinations of input can cause memory
issues, which results in decreased performance. The average time for a given computation is

45 seconds. Unexpected results during computations might cause a memory dump. Memory
dump files are stored in the Windows temporary folder on the VM that hosts the worker role.
Security
Only valid users of the solution must be able to view content that users submit. Privacy
regulations require that all content that users submit must be retained only in Azure Storage.
All documents that students upload must be signed by using a certificate named DocCert that
is installed in both the worker role and the web role.
Solution Development
You use Microsoft Visual Studio 2013 and the Azure emulator to develop and test both the
compute component and the storage component. New versions of the solution must undergo
testing by using production data.
Scaling
During non operating hours, the plagiarism detection service should not use more than 40
CPU cores. During operating hours, the plagiarism detection service should automatically
scale when 500 work items are waiting to be processed. To facilitate maintenance of the
system, no plagiarism detection work should occur during non operating hours. All ASP.NET
MVC actions must support files that are up to 2 GB in size.
Biographical Information
Biographical information about students and teachers is stored in a Microsoft Azure SQL
database. All services run in the US West region. The plagiarism detection service runs on
Extra Large instances.
Solution Structure
Relevant portions of the solution files are shown in the following code segments. Line
numbers in the code segments are included for reference only and include a two character
prefix that denotes the specific file to which the line belongs.


###EndCaseStudy###

DRAG DROP
You need to insert code at line WR16 to implement the GetWork method.
How should you complete the relevant code? To answer, drag the appropriate code segment to the correct
location. Each code 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.

How should you modify the method?

###BeginCaseStudy###
Case Study: 1
Web-based Solution
Background
You are developing a web-based solution that students and teachers can use to collaborate on
written assignments. Teachers can also use the solution to detect potential plagiarism, and
they can manage assignments and data by using locally accessible network shares.
Business Requirements
The solution consists of three parts: a website where students work on assignments and where
teachers view and grade assignments, the plagiarism detection service, and a connector
service to manage data by using a network share.
The system availability agreement states that operating hours are weekdays between midnight
on Sunday and midnight on Friday.
Plagiarism Service
The plagiarism detection portion of the solution compares a new work against a repository of
existing works. The initial dataset contains a large database of existing works. Teachers
upload additional works. In addition, the service itself searches for other works and adds
those works to the repository.
Technical Requirements
Website
The website for the solution must run on an Azure web role.
Plagiarism Service
The plagiarism detection service runs on an Azure worker role. The computation uses a
random number generator. Certain values can result in an infinite loop, so if a particular work
item takes longer than one hour to process, other instances of the service must be able to
process the work item. The Azure worker role must fully utilize all available CPU cores.
Computation results are cached in local storage resources to reduce computation time.
Repository of Existing Works
The plagiarism detection service works by comparing student submissions against a
repository of existing works by using a custom matching algorithm. The master copies of the
works are stored in Azure blob storage. A daily process synchronizes files between blob
storage and a file share on a virtual machine (VM). As part of this synchronization, the
ExistingWorkRepository object adds the files to Azure Cache to improve the display
performance of the website. If a student’s submission is overdue, the Late property is set to
the number of days that the work is overdue. Work files can be downloaded by using the
Work action of the TeacherController object
Network Connector
Clients can interact with files that are stored on the VM by using a network share. The
network permissions are configured in a startup task in the plagiarism detection service.
Service Monitoring
The CPU of the system on which the plagiarism detection service runs usually limits the
plagiarism detection service. However, certain combinations of input can cause memory
issues, which results in decreased performance. The average time for a given computation is

45 seconds. Unexpected results during computations might cause a memory dump. Memory
dump files are stored in the Windows temporary folder on the VM that hosts the worker role.
Security
Only valid users of the solution must be able to view content that users submit. Privacy
regulations require that all content that users submit must be retained only in Azure Storage.
All documents that students upload must be signed by using a certificate named DocCert that
is installed in both the worker role and the web role.
Solution Development
You use Microsoft Visual Studio 2013 and the Azure emulator to develop and test both the
compute component and the storage component. New versions of the solution must undergo
testing by using production data.
Scaling
During non operating hours, the plagiarism detection service should not use more than 40
CPU cores. During operating hours, the plagiarism detection service should automatically
scale when 500 work items are waiting to be processed. To facilitate maintenance of the
system, no plagiarism detection work should occur during non operating hours. All ASP.NET
MVC actions must support files that are up to 2 GB in size.
Biographical Information
Biographical information about students and teachers is stored in a Microsoft Azure SQL
database. All services run in the US West region. The plagiarism detection service runs on
Extra Large instances.
Solution Structure
Relevant portions of the solution files are shown in the following code segments. Line
numbers in the code segments are included for reference only and include a two character
prefix that denotes the specific file to which the line belongs.


###EndCaseStudy###

HOTSPOT
The Compute method in the PlagiarismCalculation class takes a significant amount of time to load existing
works from blob storage. To improve performance, the service must load existing works from the cache.
You need to modify the Compute method in the class PlagiarismCalculation.
How should you modify the method? To answer, select the appropriate option or options in the answer area.

Which approach should you use?

###BeginCaseStudy###
Case Study: 1
Web-based Solution
Background
You are developing a web-based solution that students and teachers can use to collaborate on
written assignments. Teachers can also use the solution to detect potential plagiarism, and
they can manage assignments and data by using locally accessible network shares.
Business Requirements
The solution consists of three parts: a website where students work on assignments and where
teachers view and grade assignments, the plagiarism detection service, and a connector
service to manage data by using a network share.
The system availability agreement states that operating hours are weekdays between midnight
on Sunday and midnight on Friday.
Plagiarism Service
The plagiarism detection portion of the solution compares a new work against a repository of
existing works. The initial dataset contains a large database of existing works. Teachers
upload additional works. In addition, the service itself searches for other works and adds
those works to the repository.
Technical Requirements
Website
The website for the solution must run on an Azure web role.
Plagiarism Service
The plagiarism detection service runs on an Azure worker role. The computation uses a
random number generator. Certain values can result in an infinite loop, so if a particular work
item takes longer than one hour to process, other instances of the service must be able to
process the work item. The Azure worker role must fully utilize all available CPU cores.
Computation results are cached in local storage resources to reduce computation time.
Repository of Existing Works
The plagiarism detection service works by comparing student submissions against a
repository of existing works by using a custom matching algorithm. The master copies of the
works are stored in Azure blob storage. A daily process synchronizes files between blob
storage and a file share on a virtual machine (VM). As part of this synchronization, the
ExistingWorkRepository object adds the files to Azure Cache to improve the display
performance of the website. If a student’s submission is overdue, the Late property is set to
the number of days that the work is overdue. Work files can be downloaded by using the
Work action of the TeacherController object
Network Connector
Clients can interact with files that are stored on the VM by using a network share. The
network permissions are configured in a startup task in the plagiarism detection service.
Service Monitoring
The CPU of the system on which the plagiarism detection service runs usually limits the
plagiarism detection service. However, certain combinations of input can cause memory
issues, which results in decreased performance. The average time for a given computation is

45 seconds. Unexpected results during computations might cause a memory dump. Memory
dump files are stored in the Windows temporary folder on the VM that hosts the worker role.
Security
Only valid users of the solution must be able to view content that users submit. Privacy
regulations require that all content that users submit must be retained only in Azure Storage.
All documents that students upload must be signed by using a certificate named DocCert that
is installed in both the worker role and the web role.
Solution Development
You use Microsoft Visual Studio 2013 and the Azure emulator to develop and test both the
compute component and the storage component. New versions of the solution must undergo
testing by using production data.
Scaling
During non operating hours, the plagiarism detection service should not use more than 40
CPU cores. During operating hours, the plagiarism detection service should automatically
scale when 500 work items are waiting to be processed. To facilitate maintenance of the
system, no plagiarism detection work should occur during non operating hours. All ASP.NET
MVC actions must support files that are up to 2 GB in size.
Biographical Information
Biographical information about students and teachers is stored in a Microsoft Azure SQL
database. All services run in the US West region. The plagiarism detection service runs on
Extra Large instances.
Solution Structure
Relevant portions of the solution files are shown in the following code segments. Line
numbers in the code segments are included for reference only and include a two character
prefix that denotes the specific file to which the line belongs.


###EndCaseStudy###

You update the portion of the website that contains biographical information about students.
You need to provide data for testing the updates to the website.
Which approach should you use?

You need to configure scaling for the plagiarism detection service

###BeginCaseStudy###
Case Study: 1
Web-based Solution
Background
You are developing a web-based solution that students and teachers can use to collaborate on
written assignments. Teachers can also use the solution to detect potential plagiarism, and
they can manage assignments and data by using locally accessible network shares.
Business Requirements
The solution consists of three parts: a website where students work on assignments and where
teachers view and grade assignments, the plagiarism detection service, and a connector
service to manage data by using a network share.
The system availability agreement states that operating hours are weekdays between midnight
on Sunday and midnight on Friday.
Plagiarism Service
The plagiarism detection portion of the solution compares a new work against a repository of
existing works. The initial dataset contains a large database of existing works. Teachers
upload additional works. In addition, the service itself searches for other works and adds
those works to the repository.
Technical Requirements
Website
The website for the solution must run on an Azure web role.
Plagiarism Service
The plagiarism detection service runs on an Azure worker role. The computation uses a
random number generator. Certain values can result in an infinite loop, so if a particular work
item takes longer than one hour to process, other instances of the service must be able to
process the work item. The Azure worker role must fully utilize all available CPU cores.
Computation results are cached in local storage resources to reduce computation time.
Repository of Existing Works
The plagiarism detection service works by comparing student submissions against a
repository of existing works by using a custom matching algorithm. The master copies of the
works are stored in Azure blob storage. A daily process synchronizes files between blob
storage and a file share on a virtual machine (VM). As part of this synchronization, the
ExistingWorkRepository object adds the files to Azure Cache to improve the display
performance of the website. If a student’s submission is overdue, the Late property is set to
the number of days that the work is overdue. Work files can be downloaded by using the
Work action of the TeacherController object
Network Connector
Clients can interact with files that are stored on the VM by using a network share. The
network permissions are configured in a startup task in the plagiarism detection service.
Service Monitoring
The CPU of the system on which the plagiarism detection service runs usually limits the
plagiarism detection service. However, certain combinations of input can cause memory
issues, which results in decreased performance. The average time for a given computation is

45 seconds. Unexpected results during computations might cause a memory dump. Memory
dump files are stored in the Windows temporary folder on the VM that hosts the worker role.
Security
Only valid users of the solution must be able to view content that users submit. Privacy
regulations require that all content that users submit must be retained only in Azure Storage.
All documents that students upload must be signed by using a certificate named DocCert that
is installed in both the worker role and the web role.
Solution Development
You use Microsoft Visual Studio 2013 and the Azure emulator to develop and test both the
compute component and the storage component. New versions of the solution must undergo
testing by using production data.
Scaling
During non operating hours, the plagiarism detection service should not use more than 40
CPU cores. During operating hours, the plagiarism detection service should automatically
scale when 500 work items are waiting to be processed. To facilitate maintenance of the
system, no plagiarism detection work should occur during non operating hours. All ASP.NET
MVC actions must support files that are up to 2 GB in size.
Biographical Information
Biographical information about students and teachers is stored in a Microsoft Azure SQL
database. All services run in the US West region. The plagiarism detection service runs on
Extra Large instances.
Solution Structure
Relevant portions of the solution files are shown in the following code segments. Line
numbers in the code segments are included for reference only and include a two character
prefix that denotes the specific file to which the line belongs.


###EndCaseStudy###

HOTSPOT
You need to configure scaling for the plagiarism detection service.
What should you do? To answer, select the appropriate values in the dialog box in the answer area.

How should you complete the relevant Windows PowerShell script?

###BeginCaseStudy###
Case Study: 1
Web-based Solution
Background
You are developing a web-based solution that students and teachers can use to collaborate on
written assignments. Teachers can also use the solution to detect potential plagiarism, and
they can manage assignments and data by using locally accessible network shares.
Business Requirements
The solution consists of three parts: a website where students work on assignments and where
teachers view and grade assignments, the plagiarism detection service, and a connector
service to manage data by using a network share.
The system availability agreement states that operating hours are weekdays between midnight
on Sunday and midnight on Friday.
Plagiarism Service
The plagiarism detection portion of the solution compares a new work against a repository of
existing works. The initial dataset contains a large database of existing works. Teachers
upload additional works. In addition, the service itself searches for other works and adds
those works to the repository.
Technical Requirements
Website
The website for the solution must run on an Azure web role.
Plagiarism Service
The plagiarism detection service runs on an Azure worker role. The computation uses a
random number generator. Certain values can result in an infinite loop, so if a particular work
item takes longer than one hour to process, other instances of the service must be able to
process the work item. The Azure worker role must fully utilize all available CPU cores.
Computation results are cached in local storage resources to reduce computation time.
Repository of Existing Works
The plagiarism detection service works by comparing student submissions against a
repository of existing works by using a custom matching algorithm. The master copies of the
works are stored in Azure blob storage. A daily process synchronizes files between blob
storage and a file share on a virtual machine (VM). As part of this synchronization, the
ExistingWorkRepository object adds the files to Azure Cache to improve the display
performance of the website. If a student’s submission is overdue, the Late property is set to
the number of days that the work is overdue. Work files can be downloaded by using the
Work action of the TeacherController object
Network Connector
Clients can interact with files that are stored on the VM by using a network share. The
network permissions are configured in a startup task in the plagiarism detection service.
Service Monitoring
The CPU of the system on which the plagiarism detection service runs usually limits the
plagiarism detection service. However, certain combinations of input can cause memory
issues, which results in decreased performance. The average time for a given computation is

45 seconds. Unexpected results during computations might cause a memory dump. Memory
dump files are stored in the Windows temporary folder on the VM that hosts the worker role.
Security
Only valid users of the solution must be able to view content that users submit. Privacy
regulations require that all content that users submit must be retained only in Azure Storage.
All documents that students upload must be signed by using a certificate named DocCert that
is installed in both the worker role and the web role.
Solution Development
You use Microsoft Visual Studio 2013 and the Azure emulator to develop and test both the
compute component and the storage component. New versions of the solution must undergo
testing by using production data.
Scaling
During non operating hours, the plagiarism detection service should not use more than 40
CPU cores. During operating hours, the plagiarism detection service should automatically
scale when 500 work items are waiting to be processed. To facilitate maintenance of the
system, no plagiarism detection work should occur during non operating hours. All ASP.NET
MVC actions must support files that are up to 2 GB in size.
Biographical Information
Biographical information about students and teachers is stored in a Microsoft Azure SQL
database. All services run in the US West region. The plagiarism detection service runs on
Extra Large instances.
Solution Structure
Relevant portions of the solution files are shown in the following code segments. Line
numbers in the code segments are included for reference only and include a two character
prefix that denotes the specific file to which the line belongs.


###EndCaseStudy###

DRAG DROP
Contoso, Ltd. reports that hackers have compromised a computer on its network.
You need to prevent access to the site from all Contoso, Ltd. computers.
How should you complete the relevant Windows PowerShell script? To answer, drag the appropriate Windows
PowerShell segment to the correct location. Each Windows PowerShell 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.

How should you complete the relevant code?

###BeginCaseStudy###
Case Study: 1
Web-based Solution
Background
You are developing a web-based solution that students and teachers can use to collaborate on
written assignments. Teachers can also use the solution to detect potential plagiarism, and
they can manage assignments and data by using locally accessible network shares.
Business Requirements
The solution consists of three parts: a website where students work on assignments and where
teachers view and grade assignments, the plagiarism detection service, and a connector
service to manage data by using a network share.
The system availability agreement states that operating hours are weekdays between midnight
on Sunday and midnight on Friday.
Plagiarism Service
The plagiarism detection portion of the solution compares a new work against a repository of
existing works. The initial dataset contains a large database of existing works. Teachers
upload additional works. In addition, the service itself searches for other works and adds
those works to the repository.
Technical Requirements
Website
The website for the solution must run on an Azure web role.
Plagiarism Service
The plagiarism detection service runs on an Azure worker role. The computation uses a
random number generator. Certain values can result in an infinite loop, so if a particular work
item takes longer than one hour to process, other instances of the service must be able to
process the work item. The Azure worker role must fully utilize all available CPU cores.
Computation results are cached in local storage resources to reduce computation time.
Repository of Existing Works
The plagiarism detection service works by comparing student submissions against a
repository of existing works by using a custom matching algorithm. The master copies of the
works are stored in Azure blob storage. A daily process synchronizes files between blob
storage and a file share on a virtual machine (VM). As part of this synchronization, the
ExistingWorkRepository object adds the files to Azure Cache to improve the display
performance of the website. If a student’s submission is overdue, the Late property is set to
the number of days that the work is overdue. Work files can be downloaded by using the
Work action of the TeacherController object
Network Connector
Clients can interact with files that are stored on the VM by using a network share. The
network permissions are configured in a startup task in the plagiarism detection service.
Service Monitoring
The CPU of the system on which the plagiarism detection service runs usually limits the
plagiarism detection service. However, certain combinations of input can cause memory
issues, which results in decreased performance. The average time for a given computation is

45 seconds. Unexpected results during computations might cause a memory dump. Memory
dump files are stored in the Windows temporary folder on the VM that hosts the worker role.
Security
Only valid users of the solution must be able to view content that users submit. Privacy
regulations require that all content that users submit must be retained only in Azure Storage.
All documents that students upload must be signed by using a certificate named DocCert that
is installed in both the worker role and the web role.
Solution Development
You use Microsoft Visual Studio 2013 and the Azure emulator to develop and test both the
compute component and the storage component. New versions of the solution must undergo
testing by using production data.
Scaling
During non operating hours, the plagiarism detection service should not use more than 40
CPU cores. During operating hours, the plagiarism detection service should automatically
scale when 500 work items are waiting to be processed. To facilitate maintenance of the
system, no plagiarism detection work should occur during non operating hours. All ASP.NET
MVC actions must support files that are up to 2 GB in size.
Biographical Information
Biographical information about students and teachers is stored in a Microsoft Azure SQL
database. All services run in the US West region. The plagiarism detection service runs on
Extra Large instances.
Solution Structure
Relevant portions of the solution files are shown in the following code segments. Line
numbers in the code segments are included for reference only and include a two character
prefix that denotes the specific file to which the line belongs.


###EndCaseStudy###

HOTSPOT
You need to implement the Work action on the TeacherController object.
How should you complete the relevant code? To answer, select the appropriate options in the answer area.

Which three actions should you perform in sequence?

###BeginCaseStudy###
Case Study: 2
Contoso, Ltd
Background
Contoso, Ltd. is developing a patient monitoring solution for a hospital. The solution consists
of an Azure website and a set of mobile applications that health care providers use to monitor
patients remotely.
Monitoring devices that run the embedded version of Windows will be attached to patients.
The devices will collect information from patients and will transmit real time continuous data
to a service that runs on Azure. The service collects and distributes data. The data that the
service provides must be accessible by the website and by the mobile applications.
Business Requirements
Patients
All patient data must be stored securely on Azure. Data security must meet or exceed Health
Insurance Portability and Accountability Act of 1996 (HIPAA) standards in the United States
and must meet or exceed ISO/ICE 27002 data security standards in the rest of the world.
Contractors
Third party contractors will develop the mobile applications. All contractors must develop
the applications by using virtual machines (VMs) that are hosted on Azure. Only authorized
contractors and authorized IP addresses are permitted to access the VMs. The contractors can

use Near Field Communication (NFC) tags to launch Remote Desktop (RD) connections to
the VMs from NFC enabled devices. For testing purposes, contractors must be able to run
multiple instances of mobile applications within the VMs.
Data Collection and Distribution Service
The service must monitor the patient data and send out alerts to health care providers when
specific conditions are detected. The service must send the alerts to mobile applications and
to the website in real time so that doctors, nurses, and caregivers can attend to the patient.
Partner organizations and diagnostic laboratories must be able to securely access the data and
the website from remote locations.
Current Issues
A partner that is testing a prototype of the website reports that after signing in to the website,
the partner is redirected to the settings page instead of to the home page.
The data from the patient devices is slow to appear on the website and does not always
appear. All patient devices online have active connections to the data collection service.
Technical Requirements
Contractors
All contractors will use virtual machines that are initially configured as size A3. Contractors
must sign in to the assigned VM by using IP addresses from a list of preapproved addresses.
Data Collection and Distribution Service
• The service runs Node.js in a worker role.
• The service must use at least 2048 bit encryption and must use port 8888.
• All patient information must be encrypted and stored by using a NoSQL data store.
• Data must be stored and retrieved securely by using RESTful endpoints.
• Data must NOT be stored within a virtual machine.
All deployed services must send an alert email to watchguard@contoso.com when any of the
following conditions is met:
• The CPU Percentage metric is at or above 85 percent for at least 10 minutes.
• The Network In metric is at or above 2 KB for at least 10 minutes.
• The Network Out metric is at or above 2 KB for at least 10 minutes.
• The Disk Write metric is at or above 1 KB/sec for at least 30 minutes.
• The Disk Read metric is at or above 1 KB/sec for at least 30 minutes.
Website and Mobile Devices
The website must be secure and must be accessible only within the hospital’s physical
grounds. All mobile applications and websites must be responsive. All websites must produce
error logs that can be viewed remotely.
Virtual Machines
• All Azure instances must be deployed and tested on staging instances before they are
deployed to production instances.
• All deployed instances must scale up to the next available CPU instance at a CPU
usage threshold of 90 percent and scale down when the usage is below 10 percent.
Application Structure
Relevant portions of the application files are shown in the following code segments. Line
numbers in the code segments are included for reference only and include a two character
prefix that denotes the specific file to which they belong.

###EndCaseStudy###

DRAG DROP
You need to configure a VM for a new contractor.
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.


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