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NEW QUESTION: 1
Scenario: A Desktop Engineer is upgrading all existing desktops in a corporate environment to Windows 10. A legacy desktop application runs only on Windows 7 and
CANNOT be replaced due to regulations; it must be accessible after the upgrade.
Which FlexCast model will enable this scenario?
A. Published applications
B. VM hosted applications
C. Remote PC access
D. Hosted shared desktops
Answer: B
Explanation:
Referencehttps://support.citrix.com/content/dam/citrixsupport/pdf-downloads/vd- handbooks/Citrix_Virtual_Desktop_Handbook_7x.pdf(page 79)

NEW QUESTION: 2
WebApp2のホスト名を構成する必要があります。
最初に何をすべきですか？
A. Azure ADで、contoso.comをカスタムドメイン名として追加します
B. Azure ADで、webapp2.azurewebsites.netをカスタムドメイン名として追加します
C. contoso.onmicrosoft.comのパブリックDNSゾーンで、NSレコードを追加します
D. contoso.comのパブリックDNSゾーンで、CNAMEレコードを追加します
Answer: B
Explanation:
Explanation
Scenario: Ensure that webapp2.azurewebsites.net can be accessed by using the name app2.contoso.com When you create a Cloud Service, Azure assigns it to a subdomain of cloudapp.net. For example, if your Cloud Service is named "contoso", your users will be able to access your application on a URL like http:// contoso.cloudapp.net. Azure also assigns a virtual IP address.
However, you can also expose your application on your own domain name, such as contoso.com.
References:
https://docs.microsoft.com/en-us/azure/cloud-services/cloud-services-custom-domain-name-portal
Topic 4, Case Study
Overview
Existing Environment
A . Datum Corporation is a financial company that has two main offices in New York and Los Angeles. A.
Datum has a subsidiary named Fabrikam, Inc that share, Los Angeles office.
A . Datum is conducting an initial deployment. of Azure services to host new line-of business applications and is preparing to migrate its existing on-premises workloads to Azure.
A Datum uses Microsoft Exchange Online (or email
On-Premises Environment
The on-premises workloads run on virtual machines hosted in a VMware vSphere 6 infrastructure.
All the virtual machines and members of an Active Directory forest named adatum.com and run Windows Server 2016.
The New York office uses an IP address space of 10.0.0.0/16 The Los Angeles office uses an IP address space of 10.10.0.0/16.
The offices connect by using a VPN provided by an ISP. Each office has one Azure ExpressRoute circuit that provides access to Azure services and Microsoft Online Services. Routing is implemented by using Microsoft peering.
The New York office has a virtual machine named VM1 that has the vSphere console installed.
Azure Environment
You provision the Azure infrastructure by using the Azure portal. The infrastructure contains the resources shown in the following table.

AG1 has two backend pools named Pool 11 and Pool12. AG2 has two backend pools named Pool21 and Pool22.
Requirements
Planned Changes
A: Datum plans to migrate the virtual machines from the New York office to the East US Azure rec-on by using Azure Site Recovery.
Infrastructure Requirements
A: Datum identifies the following infrastructure requirements:
* A new web app named App1 that will access third-parties for credit card processing must be deployed
* A newly developed API must be implemented as an Azure function named App2. App2 will use a blob storage trigger. App2 must process new blobs immediately.
* The Azure infrastructure and the on-premises infrastructure must be prepared for the migration of the VMware virtual machines to Azure.
* The sizes of the Azure virtual machines that will be used to migrate the on-premises workloads must be identified,
* All migrated and newly deployed Azure virtual machines must be joined to the adatum.com domain.
* AG1must load balance incoming traffic in the following manner
* http://corporate.adatum.com/video/* will be load balanced across Pool11.
* http://corporate.adatum.com/images/* will be load balanced across Pool 12.
* AG2 must load balance incoming traffic in the following manner.
* http://www.adatum.com will be load balanced across Pool21.
* http://www.fabnkam.com will be load balanced across Pool22.
* ERl must route traffic between the New York office and the platform as a service (PaaS) services in the East US Azure region, as long as ER1 is available.
* ER2 must route traffic between the Los Angeles office and the PaaS services in the West US region, as long as ER2 is available.
* ERl and ER2 must be configured to fail over automatically
Application Requirements
App2 must be able to connect directly to the private IP addresses of the Azure virtual machines. App2 will be deployed directly to an Azure virtual network.
Inbound and outbound communications to App1 must be controlled by using NSGs.
Pricing Requirements
A . Datum identities the following pricing requirements:
* The cost of App1 and App2 must be minimized.
* The transactional charges of Azure Storage accounts must be minimized.

NEW QUESTION: 3
An external red team is brought into an organization to perform a penetration test of a new network-based application. The organization deploying the network application wants the red team to act like remote, external attackers, and instructs the team to use a black-box approach. Which of the following is the BEST methodology for the red team to follow?
A. Runa protocolanalyzertodetermine whattrafficis flowingin and outof theserver,andlookforways to alter the data stream that will result in information leakage or a system failure.
B. Examinethe application using a portscanner, thenrun a vulnerabilityscanner againstopenports looking for known, exploitable weaknesses the application and related services may have.
C. Sendoutspear-phishingemailsagainstuserswhoare known to have accesstothenetwork-based application, so the red team can go on-site with valid credentials and use the software.
D. Askfor moredetailsregardingthe engagementusingsocial engineering tacticsinan attempttogetthe organization to disclose more information about the network application to make attacks easier.
Answer: A

NEW QUESTION: 4
You've written a MapReduce job that will process 500 million input records and generate 500 million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant amount of intermediate data that it needs to transfer between mappers and reducers which is a potential bottleneck. A custom implementation of which of the following interfaces is most likely to reduce the amount of intermediate data transferred across the network?
A. Combiner
B. OutputFormat
C. Partitioner
D. InputFormat
E. Writable
F. WritableComparable
Answer: A
Explanation:
Users can optionally specify a combiner, via JobConf.setCombinerClass(Class), to perform local aggregation of the intermediate outputs, which helps to cut down the amount of data transferred from the Mapper to the Reducer.
Reference:Map/Reduce Tutorial
http://hadoop.apache.org/common/docs/r0.20.2/mapred_tutorial.html(Mapper, 9th paragraph)