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NEW QUESTION: 1
Refer to the exhibit.

Assume that the HQ phones have access to the HQ partition, and BR phones have access to the BR
partition. Which set of implementations would best address the overlapping directory number extensions
for intersite (WAN) calling between the HQ site and the BR site?
A. Configure a route pattern 8222.[12]XXX for site HQ, and assign it to partition HQ.
Configure the called party DDI of Predot.
Configure a route pattern for site BR 8111.[1-3]XXX, and assign it to partition BR.
Configure called party DDI Predot.
Use the local gateway at each site. Prefix the appropriate site code for the calling number.
B. Configure a translation pattern 8222.[12]XXX for site HQ, and assign it to partition HQ.
Use a CSS that contains the partitions for BR phones.
Configure a translation pattern 8111.[1-3]XXX for site BR, and assign it to partition BR.
Use a CSS that contains the partitions for HQ phones.
For both translation patterns, configure the called party DDI of Predot.
Prefix the appropriate site code for the calling number.
C. Configure a translation pattern 8222.[12]XXX for site HQ, and assign it to partition BR.
Use a CSS that contains the partitions for HQ phones.
Configure a translation pattern 8111.[1-3]XXX for site BR, and assign it to partition HQ.
Use a CSS that contains the partitions for BR phones.
For both translation patterns, configure the called party DDI of Predot.
Prefix the appropriate site code for the calling number.
D. Configure a single route pattern for both sites 8[12,12,12].[1-32]XXX.
Use a route list that contains the local route group for each site.
Prefix the appropriate site code for the calling number.
Answer: B

NEW QUESTION: 2

A. 802.1x
B. CHAP
C. MD5
D. PAP
E. Plain-text
Answer: C,E

NEW QUESTION: 3
Which of the following statements about a multicast distribution tree are true? (Select 3 Answers)
A. The PIM-DM protocol can generate both RPTs and SPTs.
B. The PIM-SM protocol can generate both RPTs and SPTs.
C. Multicast distribution trees are classified into two types: SPT and RPT.
D. The PIM-SSM protocol can generate only SPTs.
Answer: B,C,D

NEW QUESTION: 4

A. Azure WebJob
B. Azure Cloud Service worker role
C. Azure virtual machine
D. Azure Batch
Answer: C
Explanation:
Topic 1, 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