###BeginCaseStudy###
Testlet 1
Background
Overview
Lucerne Publishing creates, stores, and delivers online media for advertising companies. This media is
streamed to computers by using the web, and to mobile devices around the world by using native applications.
The company currently supports the iOS, Android, and Windows Phone 8.1 platform.
Lucerne Publishing uses proprietary software to manage its media workflow. This software has reached the
end of its lifecycle. The company plans to move its media workflows to the cloud. Lucerne Publishing provides
access to its customers, who are third-party companies, so that they can download, upload, search, and index
media that is stored on Lucerne Publishing servers.
Apps and Applications
Lucerne Publishing develops the applications that customers use to deliver media. The company currently
provides the following media delivery applications:
Lucerne Media W – a web application that delivers media by using any browser
Lucerne Media M – a mobile app that delivers media by using Windows Phone 8.1
Lucerne Media A – a mobile app that delivers media by using an iOS device
Lucerne Media N – a mobile app that delivers media by using an Android device
Lucerne Media D – a desktop client application that customer’s install on their local computer
Business Requirements
Lucerne Publishing’s customers and their consumers have the following requirements:
Access to media must be time-constricted once media is delivered to a consumer.
The time required to download media to mobile devices must be minimized.
Customers must have 24-hour access to media downloads regardless of their location or time zone.
Lucerne Publishing must be able to monitor the performance and usage of all applicable media delivery
apps by using Application Insights.
Lucerne Publishing wants to make its asset catalog searchable without requiring a database redesign.
Customers must be able to access all data by using a web application. They must also be able to access
data by using a mobile app that is provided by Lucerne Publishing.
Customers must be able to search for media assets by key words and media type.
Lucerne Publishing wants to move the asset catalog database to the cloud without formatting the source
data.
Other Requirements
Development
Code and current development documents must be backed up at all times. All solutions must be automatically
built and deployed to Azure when code is checked in to source control.
Network Optimization
Lucerne Publishing has a .NET web application that runs on Azure. The web application analyzes storage and
the distribution of its media assets. It needs to monitor the utilization of the web application. Ultimately, Lucerne
Publishing hopes to cut its costs by reducing data replication without sacrificing its quality of service to its
customers. The solution has the following requirements:
Optimize the storage location and amount of duplication of media.
Vary several parameters including the number of data nodes and the distance from node to customers.
Minimize network bandwidth.
Lucerne Publishing wants be notified of exceptions in the web application.
Technical Requirements
Data Mining
Lucerne Publishing constantly mines its data to identify customer patterns. The company plans to replace the
existing on-premises cluster with a cloud-based solution. Lucerne Publishing has the following requirements:
Virtual machines:The data mining solution must support the use of hundreds to thousands of processing cores.
Minimize the number of virtual machines by using more powerful virtual machines. Each virtual machine
must always have eight or more processor cores available.
Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based on the
demand of the analysis.
Virtual machines must use remote memory direct access to improve performance.
Task scheduling:
The solution must automatically schedule jobs. The scheduler must distribute the jobs based on the demand
and available resources.
Data analysis results:
The solution must provide a web service that allows applications to access the results of analyses.
Other Requirements
Feature Support
Ad copy data must be searchable in full text.
Ad copy data must indexed to optimize search speed.
Media metadata must be stored in Azure Table storage.
Media files must be stored in Azure BLOB storage.
The customer-facing website must have access to all ad copy and media.
The customer-facing website must automatically scale and replicate to locations around the world.
Media and data must be replicated around the world to decrease the latency of data transfers.
Media uploads must have fast data transfer rates (low latency) without the need to upload the data offline.
Security
Customer access must be managed by using Active Directory.
Media files must be encrypted by using the PlayReady encryption method.
Customers must be able to upload media quickly and securely over a private connection with no opportunity
for internet snooping.
###EndCaseStudy###

You need to upload video to the company’s Azure environment.
What should you do?

###BeginCaseStudy###
Testlet 1
Background
Overview
Lucerne Publishing creates, stores, and delivers online media for advertising companies. This media is
streamed to computers by using the web, and to mobile devices around the world by using native applications.
The company currently supports the iOS, Android, and Windows Phone 8.1 platform.
Lucerne Publishing uses proprietary software to manage its media workflow. This software has reached the
end of its lifecycle. The company plans to move its media workflows to the cloud. Lucerne Publishing provides
access to its customers, who are third-party companies, so that they can download, upload, search, and index
media that is stored on Lucerne Publishing servers.
Apps and Applications
Lucerne Publishing develops the applications that customers use to deliver media. The company currently
provides the following media delivery applications:
Lucerne Media W – a web application that delivers media by using any browser
Lucerne Media M – a mobile app that delivers media by using Windows Phone 8.1
Lucerne Media A – a mobile app that delivers media by using an iOS device
Lucerne Media N – a mobile app that delivers media by using an Android device
Lucerne Media D – a desktop client application that customer’s install on their local computer
Business Requirements
Lucerne Publishing’s customers and their consumers have the following requirements:
Access to media must be time-constricted once media is delivered to a consumer.
The time required to download media to mobile devices must be minimized.
Customers must have 24-hour access to media downloads regardless of their location or time zone.
Lucerne Publishing must be able to monitor the performance and usage of all applicable media delivery
apps by using Application Insights.
Lucerne Publishing wants to make its asset catalog searchable without requiring a database redesign.
Customers must be able to access all data by using a web application. They must also be able to access
data by using a mobile app that is provided by Lucerne Publishing.
Customers must be able to search for media assets by key words and media type.
Lucerne Publishing wants to move the asset catalog database to the cloud without formatting the source
data.
Other Requirements
Development
Code and current development documents must be backed up at all times. All solutions must be automatically
built and deployed to Azure when code is checked in to source control.
Network Optimization
Lucerne Publishing has a .NET web application that runs on Azure. The web application analyzes storage and
the distribution of its media assets. It needs to monitor the utilization of the web application. Ultimately, Lucerne
Publishing hopes to cut its costs by reducing data replication without sacrificing its quality of service to its
customers. The solution has the following requirements:
Optimize the storage location and amount of duplication of media.
Vary several parameters including the number of data nodes and the distance from node to customers.
Minimize network bandwidth.
Lucerne Publishing wants be notified of exceptions in the web application.
Technical Requirements
Data Mining
Lucerne Publishing constantly mines its data to identify customer patterns. The company plans to replace the
existing on-premises cluster with a cloud-based solution. Lucerne Publishing has the following requirements:
Virtual machines:The data mining solution must support the use of hundreds to thousands of processing cores.
Minimize the number of virtual machines by using more powerful virtual machines. Each virtual machine
must always have eight or more processor cores available.
Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based on the
demand of the analysis.
Virtual machines must use remote memory direct access to improve performance.
Task scheduling:
The solution must automatically schedule jobs. The scheduler must distribute the jobs based on the demand
and available resources.
Data analysis results:
The solution must provide a web service that allows applications to access the results of analyses.
Other Requirements
Feature Support
Ad copy data must be searchable in full text.
Ad copy data must indexed to optimize search speed.
Media metadata must be stored in Azure Table storage.
Media files must be stored in Azure BLOB storage.
The customer-facing website must have access to all ad copy and media.
The customer-facing website must automatically scale and replicate to locations around the world.
Media and data must be replicated around the world to decrease the latency of data transfers.
Media uploads must have fast data transfer rates (low latency) without the need to upload the data offline.
Security
Customer access must be managed by using Active Directory.
Media files must be encrypted by using the PlayReady encryption method.
Customers must be able to upload media quickly and securely over a private connection with no opportunity
for internet snooping.
###EndCaseStudy###

You need to encrypt a media file.
Which type of encryption should you use?

###BeginCaseStudy###
Testlet 1
Background
Overview
Lucerne Publishing creates, stores, and delivers online media for advertising companies. This media is
streamed to computers by using the web, and to mobile devices around the world by using native applications.
The company currently supports the iOS, Android, and Windows Phone 8.1 platform.
Lucerne Publishing uses proprietary software to manage its media workflow. This software has reached the
end of its lifecycle. The company plans to move its media workflows to the cloud. Lucerne Publishing provides
access to its customers, who are third-party companies, so that they can download, upload, search, and index
media that is stored on Lucerne Publishing servers.
Apps and Applications
Lucerne Publishing develops the applications that customers use to deliver media. The company currently
provides the following media delivery applications:
Lucerne Media W – a web application that delivers media by using any browser
Lucerne Media M – a mobile app that delivers media by using Windows Phone 8.1
Lucerne Media A – a mobile app that delivers media by using an iOS device
Lucerne Media N – a mobile app that delivers media by using an Android device
Lucerne Media D – a desktop client application that customer’s install on their local computer
Business Requirements
Lucerne Publishing’s customers and their consumers have the following requirements:
Access to media must be time-constricted once media is delivered to a consumer.
The time required to download media to mobile devices must be minimized.
Customers must have 24-hour access to media downloads regardless of their location or time zone.
Lucerne Publishing must be able to monitor the performance and usage of all applicable media delivery
apps by using Application Insights.
Lucerne Publishing wants to make its asset catalog searchable without requiring a database redesign.
Customers must be able to access all data by using a web application. They must also be able to access
data by using a mobile app that is provided by Lucerne Publishing.
Customers must be able to search for media assets by key words and media type.
Lucerne Publishing wants to move the asset catalog database to the cloud without formatting the source
data.
Other Requirements
Development
Code and current development documents must be backed up at all times. All solutions must be automatically
built and deployed to Azure when code is checked in to source control.
Network Optimization
Lucerne Publishing has a .NET web application that runs on Azure. The web application analyzes storage and
the distribution of its media assets. It needs to monitor the utilization of the web application. Ultimately, Lucerne
Publishing hopes to cut its costs by reducing data replication without sacrificing its quality of service to its
customers. The solution has the following requirements:
Optimize the storage location and amount of duplication of media.
Vary several parameters including the number of data nodes and the distance from node to customers.
Minimize network bandwidth.
Lucerne Publishing wants be notified of exceptions in the web application.
Technical Requirements
Data Mining
Lucerne Publishing constantly mines its data to identify customer patterns. The company plans to replace the
existing on-premises cluster with a cloud-based solution. Lucerne Publishing has the following requirements:
Virtual machines:The data mining solution must support the use of hundreds to thousands of processing cores.
Minimize the number of virtual machines by using more powerful virtual machines. Each virtual machine
must always have eight or more processor cores available.
Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based on the
demand of the analysis.
Virtual machines must use remote memory direct access to improve performance.
Task scheduling:
The solution must automatically schedule jobs. The scheduler must distribute the jobs based on the demand
and available resources.
Data analysis results:
The solution must provide a web service that allows applications to access the results of analyses.
Other Requirements
Feature Support
Ad copy data must be searchable in full text.
Ad copy data must indexed to optimize search speed.
Media metadata must be stored in Azure Table storage.
Media files must be stored in Azure BLOB storage.
The customer-facing website must have access to all ad copy and media.
The customer-facing website must automatically scale and replicate to locations around the world.
Media and data must be replicated around the world to decrease the latency of data transfers.
Media uploads must have fast data transfer rates (low latency) without the need to upload the data offline.
Security
Customer access must be managed by using Active Directory.
Media files must be encrypted by using the PlayReady encryption method.
Customers must be able to upload media quickly and securely over a private connection with no opportunity
for internet snooping.
###EndCaseStudy###

You need to select the appropriate solution for monitoring the .NET application.
What should you recommend?

###BeginCaseStudy###
Testlet 1
Background
Overview
Lucerne Publishing creates, stores, and delivers online media for advertising companies. This media is
streamed to computers by using the web, and to mobile devices around the world by using native applications.
The company currently supports the iOS, Android, and Windows Phone 8.1 platform.
Lucerne Publishing uses proprietary software to manage its media workflow. This software has reached the
end of its lifecycle. The company plans to move its media workflows to the cloud. Lucerne Publishing provides
access to its customers, who are third-party companies, so that they can download, upload, search, and index
media that is stored on Lucerne Publishing servers.
Apps and Applications
Lucerne Publishing develops the applications that customers use to deliver media. The company currently
provides the following media delivery applications:
Lucerne Media W – a web application that delivers media by using any browser
Lucerne Media M – a mobile app that delivers media by using Windows Phone 8.1
Lucerne Media A – a mobile app that delivers media by using an iOS device
Lucerne Media N – a mobile app that delivers media by using an Android device
Lucerne Media D – a desktop client application that customer’s install on their local computer
Business Requirements
Lucerne Publishing’s customers and their consumers have the following requirements:
Access to media must be time-constricted once media is delivered to a consumer.
The time required to download media to mobile devices must be minimized.
Customers must have 24-hour access to media downloads regardless of their location or time zone.
Lucerne Publishing must be able to monitor the performance and usage of all applicable media delivery
apps by using Application Insights.
Lucerne Publishing wants to make its asset catalog searchable without requiring a database redesign.
Customers must be able to access all data by using a web application. They must also be able to access
data by using a mobile app that is provided by Lucerne Publishing.
Customers must be able to search for media assets by key words and media type.
Lucerne Publishing wants to move the asset catalog database to the cloud without formatting the source
data.
Other Requirements
Development
Code and current development documents must be backed up at all times. All solutions must be automatically
built and deployed to Azure when code is checked in to source control.
Network Optimization
Lucerne Publishing has a .NET web application that runs on Azure. The web application analyzes storage and
the distribution of its media assets. It needs to monitor the utilization of the web application. Ultimately, Lucerne
Publishing hopes to cut its costs by reducing data replication without sacrificing its quality of service to its
customers. The solution has the following requirements:
Optimize the storage location and amount of duplication of media.
Vary several parameters including the number of data nodes and the distance from node to customers.
Minimize network bandwidth.
Lucerne Publishing wants be notified of exceptions in the web application.
Technical Requirements
Data Mining
Lucerne Publishing constantly mines its data to identify customer patterns. The company plans to replace the
existing on-premises cluster with a cloud-based solution. Lucerne Publishing has the following requirements:
Virtual machines:The data mining solution must support the use of hundreds to thousands of processing cores.
Minimize the number of virtual machines by using more powerful virtual machines. Each virtual machine
must always have eight or more processor cores available.
Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based on the
demand of the analysis.
Virtual machines must use remote memory direct access to improve performance.
Task scheduling:
The solution must automatically schedule jobs. The scheduler must distribute the jobs based on the demand
and available resources.
Data analysis results:
The solution must provide a web service that allows applications to access the results of analyses.
Other Requirements
Feature Support
Ad copy data must be searchable in full text.
Ad copy data must indexed to optimize search speed.
Media metadata must be stored in Azure Table storage.
Media files must be stored in Azure BLOB storage.
The customer-facing website must have access to all ad copy and media.
The customer-facing website must automatically scale and replicate to locations around the world.
Media and data must be replicated around the world to decrease the latency of data transfers.
Media uploads must have fast data transfer rates (low latency) without the need to upload the data offline.
Security
Customer access must be managed by using Active Directory.
Media files must be encrypted by using the PlayReady encryption method.
Customers must be able to upload media quickly and securely over a private connection with no opportunity
for internet snooping.
###EndCaseStudy###

You need to ensure that the website scales.
What should you do?

###BeginCaseStudy###
Testlet 1
Background
Overview
Lucerne Publishing creates, stores, and delivers online media for advertising companies. This media is
streamed to computers by using the web, and to mobile devices around the world by using native applications.
The company currently supports the iOS, Android, and Windows Phone 8.1 platform.
Lucerne Publishing uses proprietary software to manage its media workflow. This software has reached the
end of its lifecycle. The company plans to move its media workflows to the cloud. Lucerne Publishing provides
access to its customers, who are third-party companies, so that they can download, upload, search, and index
media that is stored on Lucerne Publishing servers.
Apps and Applications
Lucerne Publishing develops the applications that customers use to deliver media. The company currently
provides the following media delivery applications:
Lucerne Media W – a web application that delivers media by using any browser
Lucerne Media M – a mobile app that delivers media by using Windows Phone 8.1
Lucerne Media A – a mobile app that delivers media by using an iOS device
Lucerne Media N – a mobile app that delivers media by using an Android device
Lucerne Media D – a desktop client application that customer’s install on their local computer
Business Requirements
Lucerne Publishing’s customers and their consumers have the following requirements:
Access to media must be time-constricted once media is delivered to a consumer.
The time required to download media to mobile devices must be minimized.
Customers must have 24-hour access to media downloads regardless of their location or time zone.
Lucerne Publishing must be able to monitor the performance and usage of all applicable media delivery
apps by using Application Insights.
Lucerne Publishing wants to make its asset catalog searchable without requiring a database redesign.
Customers must be able to access all data by using a web application. They must also be able to access
data by using a mobile app that is provided by Lucerne Publishing.
Customers must be able to search for media assets by key words and media type.
Lucerne Publishing wants to move the asset catalog database to the cloud without formatting the source
data.
Other Requirements
Development
Code and current development documents must be backed up at all times. All solutions must be automatically
built and deployed to Azure when code is checked in to source control.
Network Optimization
Lucerne Publishing has a .NET web application that runs on Azure. The web application analyzes storage and
the distribution of its media assets. It needs to monitor the utilization of the web application. Ultimately, Lucerne
Publishing hopes to cut its costs by reducing data replication without sacrificing its quality of service to its
customers. The solution has the following requirements:
Optimize the storage location and amount of duplication of media.
Vary several parameters including the number of data nodes and the distance from node to customers.
Minimize network bandwidth.
Lucerne Publishing wants be notified of exceptions in the web application.
Technical Requirements
Data Mining
Lucerne Publishing constantly mines its data to identify customer patterns. The company plans to replace the
existing on-premises cluster with a cloud-based solution. Lucerne Publishing has the following requirements:
Virtual machines:The data mining solution must support the use of hundreds to thousands of processing cores.
Minimize the number of virtual machines by using more powerful virtual machines. Each virtual machine
must always have eight or more processor cores available.
Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based on the
demand of the analysis.
Virtual machines must use remote memory direct access to improve performance.
Task scheduling:
The solution must automatically schedule jobs. The scheduler must distribute the jobs based on the demand
and available resources.
Data analysis results:
The solution must provide a web service that allows applications to access the results of analyses.
Other Requirements
Feature Support
Ad copy data must be searchable in full text.
Ad copy data must indexed to optimize search speed.
Media metadata must be stored in Azure Table storage.
Media files must be stored in Azure BLOB storage.
The customer-facing website must have access to all ad copy and media.
The customer-facing website must automatically scale and replicate to locations around the world.
Media and data must be replicated around the world to decrease the latency of data transfers.
Media uploads must have fast data transfer rates (low latency) without the need to upload the data offline.
Security
Customer access must be managed by using Active Directory.
Media files must be encrypted by using the PlayReady encryption method.
Customers must be able to upload media quickly and securely over a private connection with no opportunity
for internet snooping.
###EndCaseStudy###

You need to recommend an appropriate solution for the data mining requirements.
Which solution should you recommend?

###BeginCaseStudy###
Testlet 1
Background
Overview
Lucerne Publishing creates, stores, and delivers online media for advertising companies. This media is
streamed to computers by using the web, and to mobile devices around the world by using native applications.
The company currently supports the iOS, Android, and Windows Phone 8.1 platform.
Lucerne Publishing uses proprietary software to manage its media workflow. This software has reached the
end of its lifecycle. The company plans to move its media workflows to the cloud. Lucerne Publishing provides
access to its customers, who are third-party companies, so that they can download, upload, search, and index
media that is stored on Lucerne Publishing servers.
Apps and Applications
Lucerne Publishing develops the applications that customers use to deliver media. The company currently
provides the following media delivery applications:
Lucerne Media W – a web application that delivers media by using any browser
Lucerne Media M – a mobile app that delivers media by using Windows Phone 8.1
Lucerne Media A – a mobile app that delivers media by using an iOS device
Lucerne Media N – a mobile app that delivers media by using an Android device
Lucerne Media D – a desktop client application that customer’s install on their local computer
Business Requirements
Lucerne Publishing’s customers and their consumers have the following requirements:
Access to media must be time-constricted once media is delivered to a consumer.
The time required to download media to mobile devices must be minimized.
Customers must have 24-hour access to media downloads regardless of their location or time zone.
Lucerne Publishing must be able to monitor the performance and usage of all applicable media delivery
apps by using Application Insights.
Lucerne Publishing wants to make its asset catalog searchable without requiring a database redesign.
Customers must be able to access all data by using a web application. They must also be able to access
data by using a mobile app that is provided by Lucerne Publishing.
Customers must be able to search for media assets by key words and media type.
Lucerne Publishing wants to move the asset catalog database to the cloud without formatting the source
data.
Other Requirements
Development
Code and current development documents must be backed up at all times. All solutions must be automatically
built and deployed to Azure when code is checked in to source control.
Network Optimization
Lucerne Publishing has a .NET web application that runs on Azure. The web application analyzes storage and
the distribution of its media assets. It needs to monitor the utilization of the web application. Ultimately, Lucerne
Publishing hopes to cut its costs by reducing data replication without sacrificing its quality of service to its
customers. The solution has the following requirements:
Optimize the storage location and amount of duplication of media.
Vary several parameters including the number of data nodes and the distance from node to customers.
Minimize network bandwidth.
Lucerne Publishing wants be notified of exceptions in the web application.
Technical Requirements
Data Mining
Lucerne Publishing constantly mines its data to identify customer patterns. The company plans to replace the
existing on-premises cluster with a cloud-based solution. Lucerne Publishing has the following requirements:
Virtual machines:The data mining solution must support the use of hundreds to thousands of processing cores.
Minimize the number of virtual machines by using more powerful virtual machines. Each virtual machine
must always have eight or more processor cores available.
Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based on the
demand of the analysis.
Virtual machines must use remote memory direct access to improve performance.
Task scheduling:
The solution must automatically schedule jobs. The scheduler must distribute the jobs based on the demand
and available resources.
Data analysis results:
The solution must provide a web service that allows applications to access the results of analyses.
Other Requirements
Feature Support
Ad copy data must be searchable in full text.
Ad copy data must indexed to optimize search speed.
Media metadata must be stored in Azure Table storage.
Media files must be stored in Azure BLOB storage.
The customer-facing website must have access to all ad copy and media.
The customer-facing website must automatically scale and replicate to locations around the world.
Media and data must be replicated around the world to decrease the latency of data transfers.
Media uploads must have fast data transfer rates (low latency) without the need to upload the data offline.
Security
Customer access must be managed by using Active Directory.
Media files must be encrypted by using the PlayReady encryption method.
Customers must be able to upload media quickly and securely over a private connection with no opportunity
for internet snooping.
###EndCaseStudy###

You need to configure the deployment of the storage analysis application.
What should you do?

###BeginCaseStudy###
Testlet 1
Background
Overview
Lucerne Publishing creates, stores, and delivers online media for advertising companies. This media is
streamed to computers by using the web, and to mobile devices around the world by using native applications.
The company currently supports the iOS, Android, and Windows Phone 8.1 platform.
Lucerne Publishing uses proprietary software to manage its media workflow. This software has reached the
end of its lifecycle. The company plans to move its media workflows to the cloud. Lucerne Publishing provides
access to its customers, who are third-party companies, so that they can download, upload, search, and index
media that is stored on Lucerne Publishing servers.
Apps and Applications
Lucerne Publishing develops the applications that customers use to deliver media. The company currently
provides the following media delivery applications:
Lucerne Media W – a web application that delivers media by using any browser
Lucerne Media M – a mobile app that delivers media by using Windows Phone 8.1
Lucerne Media A – a mobile app that delivers media by using an iOS device
Lucerne Media N – a mobile app that delivers media by using an Android device
Lucerne Media D – a desktop client application that customer’s install on their local computer
Business Requirements
Lucerne Publishing’s customers and their consumers have the following requirements:
Access to media must be time-constricted once media is delivered to a consumer.
The time required to download media to mobile devices must be minimized.
Customers must have 24-hour access to media downloads regardless of their location or time zone.
Lucerne Publishing must be able to monitor the performance and usage of all applicable media delivery
apps by using Application Insights.
Lucerne Publishing wants to make its asset catalog searchable without requiring a database redesign.
Customers must be able to access all data by using a web application. They must also be able to access
data by using a mobile app that is provided by Lucerne Publishing.
Customers must be able to search for media assets by key words and media type.
Lucerne Publishing wants to move the asset catalog database to the cloud without formatting the source
data.
Other Requirements
Development
Code and current development documents must be backed up at all times. All solutions must be automatically
built and deployed to Azure when code is checked in to source control.
Network Optimization
Lucerne Publishing has a .NET web application that runs on Azure. The web application analyzes storage and
the distribution of its media assets. It needs to monitor the utilization of the web application. Ultimately, Lucerne
Publishing hopes to cut its costs by reducing data replication without sacrificing its quality of service to its
customers. The solution has the following requirements:
Optimize the storage location and amount of duplication of media.
Vary several parameters including the number of data nodes and the distance from node to customers.
Minimize network bandwidth.
Lucerne Publishing wants be notified of exceptions in the web application.
Technical Requirements
Data Mining
Lucerne Publishing constantly mines its data to identify customer patterns. The company plans to replace the
existing on-premises cluster with a cloud-based solution. Lucerne Publishing has the following requirements:
Virtual machines:The data mining solution must support the use of hundreds to thousands of processing cores.
Minimize the number of virtual machines by using more powerful virtual machines. Each virtual machine
must always have eight or more processor cores available.
Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based on the
demand of the analysis.
Virtual machines must use remote memory direct access to improve performance.
Task scheduling:
The solution must automatically schedule jobs. The scheduler must distribute the jobs based on the demand
and available resources.
Data analysis results:
The solution must provide a web service that allows applications to access the results of analyses.
Other Requirements
Feature Support
Ad copy data must be searchable in full text.
Ad copy data must indexed to optimize search speed.
Media metadata must be stored in Azure Table storage.
Media files must be stored in Azure BLOB storage.
The customer-facing website must have access to all ad copy and media.
The customer-facing website must automatically scale and replicate to locations around the world.
Media and data must be replicated around the world to decrease the latency of data transfers.
Media uploads must have fast data transfer rates (low latency) without the need to upload the data offline.
Security
Customer access must be managed by using Active Directory.
Media files must be encrypted by using the PlayReady encryption method.
Customers must be able to upload media quickly and securely over a private connection with no opportunity
for internet snooping.
###EndCaseStudy###

HOTSPOT
You need to recommend strategies for storing data.
Which services should you recommend? To answer, select the appropriate storage technology for each data
type in the answer area.
Hot Area:

###BeginCaseStudy###
Testlet 1
Background
Overview
Lucerne Publishing creates, stores, and delivers online media for advertising companies. This media is
streamed to computers by using the web, and to mobile devices around the world by using native applications.
The company currently supports the iOS, Android, and Windows Phone 8.1 platform.
Lucerne Publishing uses proprietary software to manage its media workflow. This software has reached the
end of its lifecycle. The company plans to move its media workflows to the cloud. Lucerne Publishing provides
access to its customers, who are third-party companies, so that they can download, upload, search, and index
media that is stored on Lucerne Publishing servers.
Apps and Applications
Lucerne Publishing develops the applications that customers use to deliver media. The company currently
provides the following media delivery applications:
Lucerne Media W – a web application that delivers media by using any browser
Lucerne Media M – a mobile app that delivers media by using Windows Phone 8.1
Lucerne Media A – a mobile app that delivers media by using an iOS device
Lucerne Media N – a mobile app that delivers media by using an Android device
Lucerne Media D – a desktop client application that customer’s install on their local computer
Business Requirements
Lucerne Publishing’s customers and their consumers have the following requirements:
Access to media must be time-constricted once media is delivered to a consumer.
The time required to download media to mobile devices must be minimized.
Customers must have 24-hour access to media downloads regardless of their location or time zone.
Lucerne Publishing must be able to monitor the performance and usage of all applicable media delivery
apps by using Application Insights.
Lucerne Publishing wants to make its asset catalog searchable without requiring a database redesign.
Customers must be able to access all data by using a web application. They must also be able to access
data by using a mobile app that is provided by Lucerne Publishing.
Customers must be able to search for media assets by key words and media type.
Lucerne Publishing wants to move the asset catalog database to the cloud without formatting the source
data.
Other Requirements
Development
Code and current development documents must be backed up at all times. All solutions must be automatically
built and deployed to Azure when code is checked in to source control.
Network Optimization
Lucerne Publishing has a .NET web application that runs on Azure. The web application analyzes storage and
the distribution of its media assets. It needs to monitor the utilization of the web application. Ultimately, Lucerne
Publishing hopes to cut its costs by reducing data replication without sacrificing its quality of service to its
customers. The solution has the following requirements:
Optimize the storage location and amount of duplication of media.
Vary several parameters including the number of data nodes and the distance from node to customers.
Minimize network bandwidth.
Lucerne Publishing wants be notified of exceptions in the web application.
Technical Requirements
Data Mining
Lucerne Publishing constantly mines its data to identify customer patterns. The company plans to replace the
existing on-premises cluster with a cloud-based solution. Lucerne Publishing has the following requirements:
Virtual machines:The data mining solution must support the use of hundreds to thousands of processing cores.
Minimize the number of virtual machines by using more powerful virtual machines. Each virtual machine
must always have eight or more processor cores available.
Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based on the
demand of the analysis.
Virtual machines must use remote memory direct access to improve performance.
Task scheduling:
The solution must automatically schedule jobs. The scheduler must distribute the jobs based on the demand
and available resources.
Data analysis results:
The solution must provide a web service that allows applications to access the results of analyses.
Other Requirements
Feature Support
Ad copy data must be searchable in full text.
Ad copy data must indexed to optimize search speed.
Media metadata must be stored in Azure Table storage.
Media files must be stored in Azure BLOB storage.
The customer-facing website must have access to all ad copy and media.
The customer-facing website must automatically scale and replicate to locations around the world.
Media and data must be replicated around the world to decrease the latency of data transfers.
Media uploads must have fast data transfer rates (low latency) without the need to upload the data offline.
Security
Customer access must be managed by using Active Directory.
Media files must be encrypted by using the PlayReady encryption method.
Customers must be able to upload media quickly and securely over a private connection with no opportunity
for internet snooping.
###EndCaseStudy###

HOTSPOT
The company has two corporate offices. Customers will access the websites from datacenters around the
world.

You need to architect the global website strategy to meet the business requirements. Use the drop-down
menus to select the answer choice that answers each question.
Hot Area:

###BeginCaseStudy###
Testlet 1
Background
Overview
Lucerne Publishing creates, stores, and delivers online media for advertising companies. This media is
streamed to computers by using the web, and to mobile devices around the world by using native applications.
The company currently supports the iOS, Android, and Windows Phone 8.1 platform.
Lucerne Publishing uses proprietary software to manage its media workflow. This software has reached the
end of its lifecycle. The company plans to move its media workflows to the cloud. Lucerne Publishing provides
access to its customers, who are third-party companies, so that they can download, upload, search, and index
media that is stored on Lucerne Publishing servers.
Apps and Applications
Lucerne Publishing develops the applications that customers use to deliver media. The company currently
provides the following media delivery applications:
Lucerne Media W – a web application that delivers media by using any browser
Lucerne Media M – a mobile app that delivers media by using Windows Phone 8.1
Lucerne Media A – a mobile app that delivers media by using an iOS device
Lucerne Media N – a mobile app that delivers media by using an Android device
Lucerne Media D – a desktop client application that customer’s install on their local computer
Business Requirements
Lucerne Publishing’s customers and their consumers have the following requirements:
Access to media must be time-constricted once media is delivered to a consumer.
The time required to download media to mobile devices must be minimized.
Customers must have 24-hour access to media downloads regardless of their location or time zone.
Lucerne Publishing must be able to monitor the performance and usage of all applicable media delivery
apps by using Application Insights.
Lucerne Publishing wants to make its asset catalog searchable without requiring a database redesign.
Customers must be able to access all data by using a web application. They must also be able to access
data by using a mobile app that is provided by Lucerne Publishing.
Customers must be able to search for media assets by key words and media type.
Lucerne Publishing wants to move the asset catalog database to the cloud without formatting the source
data.
Other Requirements
Development
Code and current development documents must be backed up at all times. All solutions must be automatically
built and deployed to Azure when code is checked in to source control.
Network Optimization
Lucerne Publishing has a .NET web application that runs on Azure. The web application analyzes storage and
the distribution of its media assets. It needs to monitor the utilization of the web application. Ultimately, Lucerne
Publishing hopes to cut its costs by reducing data replication without sacrificing its quality of service to its
customers. The solution has the following requirements:
Optimize the storage location and amount of duplication of media.
Vary several parameters including the number of data nodes and the distance from node to customers.
Minimize network bandwidth.
Lucerne Publishing wants be notified of exceptions in the web application.
Technical Requirements
Data Mining
Lucerne Publishing constantly mines its data to identify customer patterns. The company plans to replace the
existing on-premises cluster with a cloud-based solution. Lucerne Publishing has the following requirements:
Virtual machines:The data mining solution must support the use of hundreds to thousands of processing cores.
Minimize the number of virtual machines by using more powerful virtual machines. Each virtual machine
must always have eight or more processor cores available.
Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based on the
demand of the analysis.
Virtual machines must use remote memory direct access to improve performance.
Task scheduling:
The solution must automatically schedule jobs. The scheduler must distribute the jobs based on the demand
and available resources.
Data analysis results:
The solution must provide a web service that allows applications to access the results of analyses.
Other Requirements
Feature Support
Ad copy data must be searchable in full text.
Ad copy data must indexed to optimize search speed.
Media metadata must be stored in Azure Table storage.
Media files must be stored in Azure BLOB storage.
The customer-facing website must have access to all ad copy and media.
The customer-facing website must automatically scale and replicate to locations around the world.
Media and data must be replicated around the world to decrease the latency of data transfers.
Media uploads must have fast data transfer rates (low latency) without the need to upload the data offline.
Security
Customer access must be managed by using Active Directory.
Media files must be encrypted by using the PlayReady encryption method.
Customers must be able to upload media quickly and securely over a private connection with no opportunity
for internet snooping.
###EndCaseStudy###

You need to analyze Lucerne’s performance monitoring solution.
Which three applications should you monitor? Each correct answer presents a complete solution.

###BeginCaseStudy###
Testlet 1
Background
Overview
Contoso, Ltd., manufactures and sells golf clubs and golf balls. Contoso also sells golf accessories under the
Contoso Golf and Odyssey brands worldwide.
Most of the company’s IT infrastructure is located in the company’s Carlsbad, California, headquarters. Contoso
also has a sizable third-party colocation datacenter that costs the company USD $30,000 to $40,000 a month.
Contoso has other servers scattered around the United States.
Contoso, Ltd., has the following goals:
Move many consumer-facing websites, enterprise databases, and enterprise web services to Azure.
Improve the performance for customers and resellers who are access company websites from around the
world.
Provide support for provisioning resources to meet bursts of demand.
Consolidate and improve the utilization of website- and database-hosting resources.
Avoid downtime, particularly that caused by web and database server updating.
Leverage familiarity with Microsoft server management tools.
Infrastructure
Contoso’s datacenters are filled with dozens of smaller web servers and databases that run on under-utilized
hardware. This creates issues for data backup. Contoso currently backs up data to tape by using System
Center Data Protection Manager. System Center Operations Manager is not deployed in the enterprise.
All of the servers are expensive to acquire and maintain, and scaling the infrastructure takes significant time.
Contoso conducts weekly server maintenance, which causes downtime for some of its global offices. Special
events, such as high-profile golf tournaments, create a large increase in site traffic. Contoso has difficulty
scaling the web-hosting environment fast enough to meet these surges in site traffic.
Contoso has resellers and consumers in Japan and China. These resellers must use applications that run in a
datacenter that is located in the state of Texas, in the United States. Because of the physical distance, the
resellers experience slow response times and downtime.
Business Requirements
Management and Performance
Management
Web servers and databases must automatically apply updates to the operating system and products.
Automatically monitor the health of worldwide sites, databases, and virtual machines.
Automatically back up the website and databases.
Manage hosted resources by using on-premises tools.
Performance
The management team would like to centralize data backups and eliminate the use of tapes.
The website must automatically scale without code changes or redeployment.
Support changes in service tier without reconfiguration or redeployment.
Site-hosting must automatically scale to accommodate data bandwidth and number of connections.
Scale databases without requiring migration to a larger server.
Migrate business critical applications to Azure.
Migrate databases to the cloud and centralize databases where possible.
Business Continuity and Support
Business Continuity
Minimize downtime in the event of regional disasters.
Recover data if unintentional modifications or deletions are discovered.
Run the website on multiple web server instances to minimize downtime and support a high service levelagreement (SLA).
Connectivity
Allow enterprise web services to access data and other services located on-premises.
Provide and monitor lowest latency possible to website visitors.
Automatically balance traffic among all web servers.
Provide secure transactions for users of both legacy and modern browsers.
Provide automated auditing and reporting of web servers and databases.
Support single sign-on from multiple domains.
Development Environment
You identify the following requirements for the development environment:
Support the current development team’s knowledge of Microsoft web development and SQL Service tools.
Support building experimental applications by using data from the Azure deployment and on-premises data
sources.
Mitigate the need to purchase additional tools for monitoring and debugging.
System designers and architects must be able to create custom Web APIs without requiring any coding.
Support automatic website deployment from source control.
Support automated build verification and testing to mitigate bugs introduced during builds.
Manage website versions across all deployments.
Ensure that website versions are consistent across all deployments.
Technical Requirement
Management and Performance
Management
Use build automation to deploy directly from Visual Studio.
Use build-time versioning of assets and builds/releases.
Automate common IT tasks such as VM creation by using Windows PowerShell workflows.
Use advanced monitoring features and reports of workloads in Azure by using existing Microsoft tools.
Performance
Websites must automatically load balance across multiple servers to adapt to varying traffic.
In production, websites must run on multiple instances.
First-time published websites must be published by using Visual Studio and scaled to a single instance to
test publishing.
Data storage must support automatic load balancing across multiple servers.
Websites must adapt to wide increases in traffic during special events.
Azure virtual machines (VMs) must be created in the same datacenter when applicable.
Business Continuity and Support
Business Continuity
Automatically co-locate data and applications in different geographic locations.
Provide real-time reporting of changes to critical data and binaries.
Provide real-time alerts of security exceptions.
Unwanted deletions or modifications of data must be reversible for up to one month, especially in business
critical applications and databases.
Any cloud-hosted servers must be highly available.
Enterprise Support
The solution must use stored procedures to access on-premises SQL Server data from Azure.
A debugger must automatically attach to websites on a weekly basis. The scripts that handle the
configuration and setup of debugging cannot work if there is a delay in attaching the debugger.

###EndCaseStudy###

You need to recommend a solution for publishing one of the company websites to Azure and configuring it for
remote debugging.Which two actions should you perform? Each correct answer presents part of the solution.