###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?

A.
Create a new Mobile Service.

B.
Configure the deployment from source control.

C.
Add a new deployment slot.

D.
Turn on continuous integration.

Explanation:
Scenario: Data analysis results:
The solution must provide a web service that allows applications to access the results of analyses.