You are developing a web-based solution that students and teachers….

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. 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 Existing Work Repository 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 Teacher Controller 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. The Azure worker role must fully utilize all available CPU cores.

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.







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?
A. Copy the files from the source file share to a local hard disk. Ship the hard disk to the West Europe data center by using the Azure Import/Export service.
B. Create an Azure virtual network to connect to the West Europe region. Then use Robocopy to copy the files from the current region to the West Europe region.
C. Provide access to the blobs by using the Microsoft Azure Content Delivery Network (CDN). Modify the plagiarism detection service so that the files from the repository are loaded from the CDN.
D. Use the Asynchronous Blob Copy API to copy the blobs from the source storage account to a storage account in the West Europe region.
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You are developing a web-based solution that students and teachers ….

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. 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 Existing Work Repository 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 Teacher Controller 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. The Azure worker role must fully utilize all available CPU cores.

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.







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.
Select and Place:

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You are developing a web-based solution that students and teachers….

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. 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 Existing Work Repository 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 Teacher Controller 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. The Azure worker role must fully utilize all available CPU cores.

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.






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.
Hot Area:

Continue reading “You are developing a web-based solution that students and teachers….”

You are developing a web-based solution that students and teachers….

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. 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 Existing Work Repository 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 Teacher Controller 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. The Azure worker role must fully utilize all available CPU cores.

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.







HOTSPOT
The Compute method in the Plagiarism Calculation 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 Plagiarism Calculation.
How should you modify the method? To answer, select the appropriate option or options in the answer area.

Hot Area:

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A company is developing a website that supports mortgage loan processing….

Background: A company is developing a website that supports mortgage loan processing. You use the Azure management portal to create a website. You initially configure the website to use the Basic hosting plan. You register a custom domain for the website with a valid registrar.
Customers complete mortgage applications and upload supporting documents to the website. A custom executable named FileProcessor.exe processes all of the information received. An on-premises server that runs Windows Server hosts the executable.
You create a virtual hard disk (VHD) image of the on-premises server. You plan to use this VHD to replace the on-premises server with a new virtual machine (VM) that is hosted in Azure.
Business Requirements: Business stakeholders have identified the following requirements for the mortgage loan processing website: The website must provide a secure mortgage application process for the customer.
Business users must validate new versions of the website before you publish them to the production site.
You must be able to revert to the previous version easily when issues arise.
The website must remain available to users while new features and bug fixes are deployed.
Network traffic must be monitored on all ports that the website uses.
Technical Requirements General: You must develop the website by using Microsoft Visual Studio 2013.
The website must be stateless. Subsequent requests from a user might or might not be routed back to the website instance that the user initially connected to.
Security: You must secure the custom domain and all subdomains by using SSL.
Storage: The custom executable must use native file system APIs to share data between different parts of the website.
The custom executable must continue to use a network file share to access files.
Monitoring: The website must use port 6000 with UDP to submit information to another process. This port must be actively monitored by using the same external port number.
Deployment: You must deploy the VM and the associated VHD. You will need to move this VM to a different Azure subscription after deployment.
You must establish a continuous deployment process that uses staged publishing.
The custom domain must handle requests for multiple subdomains.
The custom domain must use a www CNAME record that points to the domain’s @ A record.
The custom executable must run continuously and must be deployed as an Azure web job named
File Processor: Application Request Routing (ARR) affinity must be disabled for the website.
Solution Structure: The solution structure for the website is shown in the following exhibit.

You need to choose an Azure storage service solution.
Which solution should you choose?
A. Queue storage
B. Blob storage
C. File storage
D. Table storage
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You are maintaining an application that uses the Azure CDN….

You are maintaining an application that uses the Azure Content Delivery Network (CDN) to serve terabytes of content that is stored in page blobs. Your bill for CDN services is higher than you expect. You need to monitor the application to find issues that increase costs. Which two operations should you monitor? Each correct answer presents part of the solution.
A. The Time-To-Live (TTL) of the blobs.
B. The country of origin for the client computer and the CDN region.
C. The number of requests that result in an HTTP status code over 400.
D. The allocated size of page blobs.
E. The expiration date of the blobs.
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You store data in an Azure blob. Data accumulates……

You store data in an Azure blob. Data accumulates at a rate of 0.10 GB per day.
– You must use storage analytics data to verify that the service level agreement (SLA) has been met and to analyze the performance of VHDs, including the pattern of usage.
– Analytics data must be deleted when it is older than 100 days or when the total amount of data exceeds 10 GB.
– You need to configure storage analytics and access the storage analytics data.
Which two approaches will achieve the goal? Each correct answer presents part of the solution.
A. Disable the data retention policy.
B. Access analytics data by using the Service Management REST APL
C. Access analytics data by using the APIs used to read blob and table data.
D. Configure a data retention policy of 100 days.
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You develop a web application that will use the Azure Table service….

You develop a web application that will use the Azure Table service. The web application will store entities in the form of XML data within a single table.
The web application must support high traffic throughput. You need to avoid exceeding the throttle limit for the table. Which two actions should you take? Each correct answer presents part of the solution.
A. Add additional partition keys to the table.
B. Batch transactions for entities that are in the same partition group in the table.
C. Compress the entities before storing them in the table.
D. Store the entities in JSON format.
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