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NEW QUESTION: 1
HOTSPOT


Answer:
Explanation:

Explanation:

Not /29.
/29 would normally provide up to 8 IP addresses which should be enough for four VMs.
However, Azure reserves five IP addresses so for four VMs, you need a subnet with at least 9 IP addresses.
Topic 8, Woodgrove Bank
Background
Overview
Woodgrove Bank has 20 regional offices and operates 1,500 branch office locations. Each regional office hosts the servers, infrastructure, and applications that support that region.
Woodgrove Bank plans to move all of their on-premises resources to Azure, including virtual machine (VM)-based, line-of-business workloads, and SQL databases. You are the owner of the Azure subscription that Woodgrove Bank is using. Your team is using Git repositories hosted on GitHub for source control.
Security
Currently, Woodgrove Bank's Computer Security Incident Response Team (CSIRT) has a problem investigating security issues due to the lack of security intelligence integrated with their current incident response tools. This lack of integration introduces a problem during the detection (too many false positives), assessment, and diagnose stages. You decide to use Azure Security Center to help address this problem.
Woodgrove Bank has several apps with regulated data such as Personally Identifiable Information (PII) that require a higher level of security. All apps are currently secured by using an on-premises Active Directory Domain Services (ADDS). The company depends on the following mission-critical apps: WGBLoanMaster, WGBLeaseLeader, and WGBCreditCruncher apps. You plan to move each of these apps to Azure as part of an app migration project.
Apps
The WGBLoanMaster app has been audited for transaction loss. Many transactions have been lost in processing and monetary write-offs have cost the bank. The app runs on two VMs that include several public endpoints.
The WGBLeaseLeader app has been audited for several data breaches. The app includes a SQL Server database and a web-based portal. The portal uses an ASP.NET Web API function to generate a monthly aggregate report from the database.
The WGBCreditCruncher app runs on a VM and is load balanced at the network level. The app includes several stateless components and must accommodate scaling of increased credit processing. The app runs on a nightly basis to process credit transactions that are batched during the day. The app includes a web-based portal where customers can check their credit information. A mobile version of the app allows users to upload check images.
Business Requirements
WGBLoanMaster app
The app audit revealed a need for zero transaction loss. The business is losing money due to the app losing and not processing loan information. In addition, transactions fail to process after running for a long time. The business has requested the aggregation processing to be scheduled for 01:00 to prevent system slowdown.
WGBLeaseLeader app
The app should be secured to stop data breaches. If the data is breached, it must not be readable. The app is continuing to see increased volume and the business does not want the issues presented in the WGBLoanMaster app. Transaction loss is unacceptable, and although the lease monetary amounts are smaller than loans, they are still an important profit center for Woodgrove Bank. The business would also like the monthly report to be automatically generated on the first of the month. Currently, a user must log in to the portal and click a button to generate the report.
WGBCreditCruncher app
The web-based portal area of the app must allow users to sign in with their Facebook credentials. The bank would like to allow this feature to enable more users to check their credit within the app.
Woodgrove Bank needs to develop a new financial risk modeling feature that they can include in the WGBCreditCruncher app. The financial risk modeling feature has not been developed due to costs associated with processing, transforming, and analyzing the large volumes of data that are collected. You need to find a way to implement parallel processing to ensure that the features run efficiently, reliably, and quickly. The feature must scale based on computing demand to process the large volumes of data and output several financial risk models.
Technical Requirements
WGBLoanMaster app
The app uses several compute-intensive tasks that create long-running requests to the system. The app is critical to the business and must be scalable to increased loan processing demands. The VMs that run the app include a Windows Task Scheduler task that aggregates loan information from the app to send to a third party. This task runs a console app on the VM.
The app requires a messaging system to handle transaction processing. The messaging system must meet the following requirements:
* Allow messages to reside in the queue for up to a month.
* Be able to publish and consume batches of messages.
* Allow full integration with the Windows Communication Foundation (WCF) communication stack.
* Provide a role-based access model to the queues, including different permissions for senders and receivers.
You develop an Azure Resource Manager (ARM) template to deploy the VMs used to support the app. The template must be deployed to a new resource group and you must validate your deployment settings before creating actual resources.
WGBLeaseLeader app
The app must use Azure SQL Databases as a replacement to the current Microsoft SQL Server environment. The monthly report must be automatically generated.
The app requires a messaging system to handle transaction processing. The messaging system must meet the following requirements:
* Require server-side logs of all of the transactions run against your queues.
* Track progress of a message within the queue.
* Process the messages within 7 days.
* Provide a differing timeout value per message.
WGBCreditCruncher app
The app must:
* Secure inbound and outbound traffic.
* Analyze inbound network traffic for vulnerabilities.
* Use an instance-level public IP and allow web traffic on port 443 only.
* Upgrade the portal to a Single Page Application (SPA) that uses JavaScript, Azure Active Directory (Azure AD), and the OAuth 2.0 implicit authorization grant to secure the Web API back end.
* Cache authentication and host the Web API back end using the Open Web Interface for .NET (OWIN) middleware.
* Immediately compress check images received from the mobile web app.
* Schedule processing of the batched credit transactions on a nightly basis.
* Provide parallel processing and scalable computing resources to output financial risk models.
* Use simultaneous computer nodes to enable high performance computing and updating of the financial risk models.
Key security area

NEW QUESTION: 2
Your network contains an Active Directory domain named contoso.com. The domain contains a server named Server1 that runs Windows Server 2012 R2.
You create a new inbound rule by using Windows Firewall with Advanced Security.
You need to configure the rule to allow Server1 to accept unsolicited inbound packets that are received through a network address translation (NAT) device on the network.
Which setting in the rule should you configure?
A. Edge traversal
B. Interface types
C. Remote IP address
D. Authorized computers
Answer: A
Explanation:
Edge traversal - This indicates whether edge traversal is enabled (Yes) or disabled (No). When edge traversal is enabled, the application, service, or port to which the rule applies is globally addressable and accessible from outside a network address translation (NAT) or edge device.
Select one of the following options from the list: Block edge traversal (default) - Prevent applications from receiving unsolicited traffic from the Internet through a NAT edge device.
Allow edge traversal - Allow applications to receive unsolicited traffic directly from the Internet through a NAT edge device. Defer to user - Let the user decide whether to allow unsolicited traffic from the Internet through a NAT edge device when an application requests it. Defer to application - Let each application determine whether to allow unsolicited traffic from the Internet through a NAT edge device.
Reference: http://technet.microsoft.com/en-us/library/cc731927.aspx

NEW QUESTION: 3
다음 중 AWS Data Pipeline을 사용하여 수행 할 수없는 것은 무엇입니까?
A. 저장된 데이터를 정기적으로 액세스하고 규모에 맞게 변형 및 처리하며 결과를 다른 AWS 서비스로 효율적으로 전송합니다.
B. 저장된 데이터를 바탕으로 보고서를 생성합니다.
C. 지정된 간격으로 다른 AWS 컴퓨팅 및 스토리지 서비스와 사내 구축 형 데이터 소스간에 데이터를 이동합니다.
D. 내결함성, 반복성 및 가용성이 뛰어난 복잡한 데이터 처리 작업을 만듭니다.
Answer: B
Explanation:
설명:
AWS 데이터 파이프 라인은 지정된 간격으로 다른 AWS 컴퓨팅 및 스토리지 서비스는 물론 사내 구축 형 데이터 소스간에 데이터를 안정적으로 처리하고 이동할 수있게 해주는 웹 서비스입니다. AWS Data Pipeline을 사용하면 저장되어있는 데이터에 정기적으로 액세스하여 대규모로 변환 및 처리하고 결과를 다른 AWS로 효율적으로 전송할 수 있습니다.
AWS Data Pipeline을 사용하면 내결함성, 반복성 및 가용성이 뛰어난 복잡한 데이터 처리 작업을 쉽게 생성 할 수 있습니다. AWS Data Pipeline을 사용하면 이전에 사내 구축 형 데이터 저장소에 잠근 데이터를 이동하고 처리 할 수도 있습니다.
http://aws.amazon.com/datapipeline/