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NEW QUESTION: 1
You have an Azure web app named App1 that contains the following autoscale conditions:
Every autoscale condition rule is configured to have a duration of 20 minutes and a cool down time of 10 minutes.
At 06:00, WebApp1 is running four instances.
You need to identify how many instances are running on WebApp1 based on the percentage of the CPU utilization.
How many instances should you identify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: 3
At 6:00 the default 4 instances are running. The CPU utilization averages 10% for 25 minutes. The scale in rules states that 1 instance should be removed when CPU utilization averages 30% or less over a 20 minute period.
Box 2: 6
At 6:00 the default 4 instances are running. The CPU utilization averages 70% for 25 minutes. The scale out rules states that 3 instances should be added when CPU utilization averages 70% or more over a 20 minute period. However, the maximum number of instances is set at 6.
References:
https://docs.microsoft.com/en-us/azure/architecture/best-practices/auto-scaling
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-understanding-settings
NEW QUESTION: 2
どのQoSコンポーネントがパケットを変更して、ネットワークでのトラフィックの処理方法を変更しますか？
A. マーキング
B. シェーピング
C. ポリシング
D. 分類
Answer: A
Explanation:
QoSパケットマーキングとは、レイヤー2（802.1Q / p CoS、MPLS EXP）またはレイヤー3（IP Precedence、DSCP、IP ECN）でパケット内のフィールドを変更することです。
リファレンス：https://www.cisco.com/c/en/us/td/docs/ios-xml/ios/qos_mqc/configuration/xe-16/qos- mqc-xe-16-book / qos-mrkg。 html
NEW QUESTION: 3
Which Social Network Analysis centrality measure is the most suitable to identify gatekeeper entities in a computer network?
A. Degree
B. Eigenvector
C. Closeness
D. Betweenness
Answer: C
NEW QUESTION: 4
A. encr
B. auth
C. pub
D. priv
Answer: B