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NEW QUESTION: 1

A. Option D
B. Option A
C. Option B
D. Option C
Answer: D
Explanation:
Explanation
* Scenario: Predictive Routing:
/ An Azure solution must be used for prediction systems.
/ Predictive analytics must be published as a web service and accessible by using the REST API.
* Microsoft Azure Machine Learning Studio is a collaborative visual development environment that enables you to build, test, and deploy predictive analytics solutions that operate on your data. The Machine Learning service and development environment is cloud-based, provides compute resource and memory flexibility, and eliminates setup and installation concerns because you work through your web browser.
References: https://azure.microsoft.com/en-us/documentation/articles/machine-learning-what-is-ml-studio/
Topic 6, Lucerne PublishingBackground
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 its customer-facing app.
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.

NEW QUESTION: 2
Identify three standard views that you can access from the Notification Worklist of Oracle Workflow Self- Service Web pages in Oracle E-Business Suite Release 12. (Choose three.)
A. Rejected Notifications
B. To Do Notifications
C. Open Notifications
D. Notifications from Me
E. Closed Notifications
Answer: B,C,D

NEW QUESTION: 3
A network administrator is trying to add a new router into an established OSPF network. The networks attached to the new router do not appear in the routing tables of the other OSPF routers. Given the information in the partial configuration shown below, what configuration error is causing this problem?
Router(config)# router ospf 1
Router(config-router)# network 10.0.0.0 255.0.0.0 area 0
A. The network number is configured improperly.
B. The OSPF area is configured improperly.
C. The process id is configured improperly.
D. The network wildcard mask is configured improperly.
E. The network subnet mask is configured improperly.
F. The AS is configured improperly.
Answer: D
Explanation:
Explanation/Reference:
When configuring OSPF, the mask used for the network statement is a wildcard mask similar to an access list. In this specific example, the correct syntax would have been "network 10.0.0.0 0.0.0.255 area 0."

NEW QUESTION: 4
EC2 인스턴스는 하나의 서브넷에서 ENI (Elastic Network Interface)에 연결됩니다. 이 EC2 인스턴스에 다른 서브넷의 ENI를 연결하면 어떻게 됩니까?
A. EC2 인스턴스는 두 서브넷 모두의 규칙을 따릅니다.
B. EC2 인스턴스는 이전 서브넷의 규칙을 따릅니다.
C. EC2 인스턴스는 새로운 서브넷의 규칙을 따른다.
D. 불가능합니다. 2 개의 ENI에 연결할 수 없습니다.
Answer: A
Explanation:
설명:
AWS를 사용하면 ENI (elastic network interface)를 만들고 EC2 인스턴스에 ENI를 첨부하고 EC2 인스턴스에서 ENI를 분리 한 다음이 ENI를 다른 EC2 인스턴스에 첨부 할 수 있습니다. 네트워크 트래픽의 속성은 EC2 인스턴스에 첨부되거나 EC2 인스턴스에서 분리 된 ENI를 따릅니다. EC2 인스턴스간에 ENI를 이동하면 네트워크 트래픽이 새 EC2 인스턴스로 리디렉션됩니다. 추가 ENI를 생성하고 EC2 인스턴스에 연결할 수 있습니다.
여러 네트워크 인터페이스 (ENI)를 EC2 인스턴스에 연결하면 다음 작업을 수행하는 것이 좋습니다.
관리 네트워크를 만듭니다.
VPC에서 네트워크 및 보안 어플라이언스를 사용하십시오.
고유 한 서브넷에 작업 부하 / 역할이있는 이중 홈 인스턴스 생성
저비용의 고 가용성 솔루션을 만듭니다.
참조 : http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-eni.html

Certification Tracks

• NAHP Certified Medical Assistant
• NAHP Certified Entry Networking Technician