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NEW QUESTION: 1
The new bottlenecks avoided by addressing two challenges, what are they?
There are 2 correct answers to this question.
A. Avoid CPU cache misses
B. Avoid optimizing data
C. Avoid single network
D. Avoid idling CPU cores
Answer: A,D
NEW QUESTION: 2
ユーザーがPIOPSを使用してEBSボリュームを構成しました。ユーザーは最適なスループットを経験していません。
次のうち、そのEBSボリュームのI / Oパフォーマンスに影響する要因になり得ないものはどれですか？
A. EBSボリュームサイズ
B. インスタンスタイプはEBS最適化されていません
C. PIOPSを超える専用インスタンスのEBS帯域幅
D. EC2帯域幅
Answer: A
Explanation:
Explanation
If the user is not experiencing the expected IOPS or throughput that is provisioned, ensure that the EC2 bandwidth is not the limiting factor, the instance is EBS-optimized (or include 10 Gigabit network connectivity) and the instance type EBS dedicated bandwidth exceeds the IOPS more than he has provisioned.
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-io-characteristics.html
NEW QUESTION: 3
You have an Azure web app named App1 that contains the following autoscale conditions. The default auto created scale condition has a scale mode that has Scale to a specific instance count set to 2.
Scale condition 1 has the following configurations:
* Scale mode: Scale to a specific instance count
* Instance count 3
* Schedule: Specify start/end dates
* Start date: August 1. 2019.06:00
* End date: September 1.2019, 18:00
Scale condition 2 has the following configurations:
* Scale mode: Scale to a specific instance count
* Instance count 4
* Schedule: Repeat specific days
* Repeat every: Monday
* Start time: 06:00
* End time: 18:00
Scale condition 3 has the following configurations.
Answer:
Explanation:
Explanation
Box 1: 5
Scale condition 1, Scale condition 2, and Scale condition 3 applies.
Scale condition 3 takes precedence as it the largest increase in the number of instances.
Box 2: 5
Scale condition 1 does not apply as its end date is exceeded.
Scale condition 2 and Scale condition 3 applies.
Scale condition 3 takes precedence as it the largest increase in the number of instances.
When you configure multiple policies and rules, they could conflict with each other. Autoscale uses the following conflict resolution rules to ensure that there is always a sufficient number of instances running:
* Scale-out operations always take precedence over scale-in operations.
* When scale-out operations conflict, the rule that initiates the largest increase in the number of instances takes precedence.
* When scale in operations conflict, the rule that initiates the smallest decrease in the number of instances takes precedence.
References:
https://docs.microsoft.com/en-us/azure/architecture/best-practices/auto-scaling