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NEW QUESTION: 1
A company has Windows 10 Enterprise computers in an Active Directory Domain Services
(AD DS) domain.
A computer named COMPUTER1 has a shared printer named PRINTER1 installed and has Remote Desktop enabled. A user named Intern is a member of a security group named
Sales. The Sales group is a member of the Remote Desktop Users group on
COMPUTER1. Only the Sales group has access to PRINTER1.
You need to configure COMPUTER1 to meet the following requirements:
*Allow only Intern to establish Remote Desktop connections to COMPUTERS1.
*Allow Intern to print to PRINTER1.
What should you do?
A. Remove Intern from the Sales group.
B. Assign Intern the Deny log on user right by using the RemoteDesktop Services user right.
C. Assign Intern the Deny access to this computer from the network user right. Assign the
Sales group the Allow log on locally user right.
D. Remove the Sales group from the Remote DesktopUsers group and add Intern to the
Remote Desktop Users group.
Answer: D

NEW QUESTION: 2
Drag and Drop Question
You develop a web app that uses the tier D1 app service plan by using the Web Apps feature of Microsoft Azure App Service.
Spikes in traffic have caused increases in page load times.
You need to ensure that the web app automatically scales when CPU load is about 85 percent and minimize costs.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Step 1: Configure the web app to the Standard App Service Tier
The Standard tier supports auto-scaling, and we should minimize the cost.
Step 2: Enable autoscaling on the web app
First enable autoscale
Step 3: Add a scale rule
Step 4: Add a Scale condidation
References:
https://docs.microsoft.com/en-us/azure/monitoring-and-diagnostics/monitoring-autoscale-get- started
https://azure.microsoft.com/en-us/pricing/details/app-service/plans/

NEW QUESTION: 3
회사는 매월 초에 판매 보고서를 생성해야 합니다. 보고 프로세스는 매월 1 일에 20 개의 Amazon EC2 인스턴스를 시작합니다. 프로세스는 7 일 동안 실행되며 중단 할 수 없습니다. 회사는 비용을 최소화하려고 합니다.
회사는 어떤 가격 모델을 선택해야 합니까?
A. 온 디맨드 인스턴스
B. 스팟 블록 인스턴스
C. 예약 인스턴스
D. 예약 된 예약 인스턴스
D18912E1457D5D1DDCBD40AB3BF70D5D
Answer: D
Explanation:
Explanation
Scheduled Reserved Instances
Scheduled Reserved Instances (Scheduled Instances) enable you to purchase capacity reservations that recur on a daily, weekly, or monthly basis, with a specified start time and duration, for a one-year term. You reserve the capacity in advance, so that you know it is available when you need it. You pay for the time that the instances are scheduled, even if you do not use them.
Scheduled Instances are a good choice for workloads that do not run continuously, but do run on a regular schedule. For example, you can use Scheduled Instances for an application that runs during business hours or for batch processing that runs at the end of the week.
If you require a capacity reservation on a continuous basis, Reserved Instances might meet your needs and decrease costs.
How Scheduled Instances Work
Amazon EC2 sets aside pools of EC2 instances in each Availability Zone for use as Scheduled Instances. Each pool supports a specific combination of instance type, operating system, and network.
To get started, you must search for an available schedule. You can search across multiple pools or a single pool. After you locate a suitable schedule, purchase it.
You must launch your Scheduled Instances during their scheduled time periods, using a launch configuration that matches the following attributes of the schedule that you purchased: instance type, Availability Zone, network, and platform. When you do so, Amazon EC2 launches EC2 instances on your behalf, based on the specified launch specification. Amazon EC2 must ensure that the EC2 instances have terminated by the end of the current scheduled time period so that the capacity is available for any other Scheduled Instances it is reserved for. Therefore, Amazon EC2 terminates the EC2 instances three minutes before the end of the current scheduled time period.
You can't stop or reboot Scheduled Instances, but you can terminate them manually as needed. If you terminate a Scheduled Instance before its current scheduled time period ends, you can launch it again after a few minutes. Otherwise, you must wait until the next scheduled time period.
The following diagram illustrates the lifecycle of a Scheduled Instance.

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-scheduled-instances.html