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NEW QUESTION: 1
ユーザーが3 GBサイズと90 IOPSのPIOPS EBSボリュームを作成しようとしています。 AWSはボリュームを作成しますか？
A. いいえ、EBSサイズは4GB未満です
B. いいえ、PIOPSとEBSのサイズ比は30未満なので
C. はい、EBSとIOPSの比率が30未満であるため
D. はい、PIOPSは100より大きいため
Answer: A
Explanation:
Explanation
A Provisioned IOPS (SSD) volume can range in size from 4 GiB to 16 TiB and you can provision up to 20,000 IOPS per volume.
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSVolumeTypes.html#EBSVolumeTypes_piops

NEW QUESTION: 2
HOTSPOT


Answer:
Explanation:

Box 1: Get-ClusterNetwork
Cluster network roles can be changed using PowerShell command, Get-ClusterNetwork.
For example:
(Get-ClusterNetwork "Cluster Network 1"). Role =1
Box 2: Role
Cluster Network Roles:
Cluster networks are automatically created for all logical subnets connected to all nodes in the Cluster. Each network adapter card connected to a common subnet will be listed in Failover Cluster Manager. Cluster networks can be configured for different uses.
Three roles:
References: https://blogs.technet.microsoft.com/askcore/2014/02/19/configuring-windows-failover- cluster-networks/

NEW QUESTION: 3
お客様は、IBM Spectrum Scaleに接続された既存のSAP HANA実動ノードを持っています。高帯域幅の要件を維持するには、お客様は追加のノードをスケールアウトする必要があります
どのタイプのノードを提案する必要がありますか？
A. NVMeドライブを備えたストレージノード
B. SSDドライブを備えたプロトコルノード
C. SSDドライブを備えたストレージノード
D. SASドライブを備えたストレージノード
Answer: C

NEW QUESTION: 4
A user has created a web application with Auto Scaling.
The user is regularly monitoring the application and he observed that the traffic is highest on Thursday and Friday between 8 AM to 6 PM.
What is the best solution to handle scaling in this case?
A. Add a new instance manually by 8 AM Thursday and terminate the same by 6 PM Friday
B. Schedule a policy which may scale up every day at 8 AM and scales down by 6 PM
C. Schedule Auto Scaling to scale up by 8 AM Thursday and scale down after 6 PM on Friday
D. Configure a batch process to add a instance by 8 AM and remove it by Friday 6 PM
Answer: C
Explanation:
Auto Scaling based on a schedule allows the user to scale the application in response to predictable load changes. In this case the load increases by Thursday and decreases by Friday.
Thus, the user can setup the scaling activity based on the predictable traffic patterns of the web application using Auto Scaling scale by Schedule.