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NEW QUESTION: 1
HOTSPOT
You run Get-Service | where displayname-like *transport* | FT -AutoSize and you receive the following output.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the output.
Answer:
Explanation:
NEW QUESTION: 2
You support a Microsoft Lync Server 2013 Enterprise pool deployed in a high availability configuration for Back End Servers named Backend 1 and Backend2. You execute the Get-CSDatabaseMirrorState cmdlet and discover the following errors.
You need to resolve the connectivity issue and bring up the mirror databases to the synchronized state between the Back End Servers. What should you do?
A. Run the Invoke-CsPoolFailOver cmdlet.
B. From the Front End Server, create the inbound rule on the firewall.
C. Run the Test-CsDatabase cmdlet.
D. From the mirror Back End Server, create the inbound rule on the firewall.
Answer: C
NEW QUESTION: 3
A. Option D
B. Option B
C. Option C
D. Option A
Answer: D
NEW QUESTION: 4
여러 회사의 직원이 특정 30 일 동안 1 년에 한 번 애플리케이션을 사용합니다. 회사마다 기간이 다릅니다. 이 기간 동안 응용 프로그램에 대한 트래픽 급증
30 일 기간.
이러한 트래픽 급증을 처리하도록 애플리케이션을 어떻게 설계 할 수 있습니까?
A. Amazon Cloud Front를 사용하여 정적 자산을 제공하여 EC2 인스턴스의로드를 줄입니다.
B. Amazon Route 53 대기 시간 라우팅 정책을 사용하여 지연 시간이 가장 적은 Amazon EC2 인스턴스로 트래픽을 라우팅하십시오.
C. Auto Scaling 그룹을 사용하여 사이트 트래픽과 일치하도록 EC2 인스턴스 수를 조정하십시오.
D. Amazon S3를 사용하여 웹 사이트 요청의 정적 요소를 캐시하십시오.
Answer: C
Explanation:
Predictive Scaling, a feature of AWS Auto Scaling uses machine learning to schedule the right number of EC2 instances in anticipation of approaching traffic changes. Predictive Scaling predicts future traffic, including regularly-occurring spikes, and provisions the right number of EC2 instances in advance.