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NEW QUESTION: 1
WebApp1という名前のAzure Webアプリを開発しています。 WebApp1は、B1料金設定層を使用するPlan1という名前のAzure App Serviceプランを使用します。
CPU使用率が10分間70％を超えたときにアプリのインスタンスを追加するようにWebApp1を構成する必要があります。
順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Box 1: From the Scale out (App Service Plan) settings blade, change the pricing tier The B1 pricing tier only allows for 1 core. We must choose another pricing tier.
Box 2: From the Scale out (App Service Plan) settings blade, enable autoscale
* Log
in to the Azure portal at http://portal.azure.com
* Navigate to the App Service you would like to autoscale.
* Select Scale out (App Service plan) from the menu
* Click on Enable autoscale. This activates the editor for scaling rules.

Box 3: From the Scale mode to Scale based on metric, add a rule, and set the instance limits.
Click on Add a rule. This shows a form where you can create a rule and specify details of the scaling.
References:
https://azure.microsoft.com/en-us/pricing/details/app-service/windows/
https://blogs.msdn.microsoft.com/hsirtl/2017/07/03/autoscaling-azure-web-apps/

NEW QUESTION: 2
ゲーム会社は、レイヤー4のユーザーと通信するマルチプレーヤーゲームの単一のアベイラビリティーゾーンに複数のAmazon EC2インスタンスを持っています。最高技術責任者（CTO）は、アーキテクチャの可用性と費用対効果を高くしたいと考えています。
これらの要件を満たすために、ソリューションアーキテクトは何をすべきですか？ （2つ選択してください。）
A. EC2インスタンスの数を増やします。
B. EC2インスタンスの前にネットワークロードバランサーを設定します。
C. 複数のアベイラビリティーゾーンでインスタンスを自動的に追加または削除するようにAuto Scalingグループを構成します。
D. EC2インスタンスの前にApplication Load Balancerを設定します
E. EC2インスタンスの数を減らす
Answer: B,C
Explanation:
Explanation
Network Load Balancer overview
A Network Load Balancer functions at the fourth layer of the Open Systems Interconnection (OSI) model. It can handle millions of requests per second. After the load balancer receives a connection request, it selects a target from the target group for the default rule. It attempts to open a TCP connection to the selected target on the port specified in the listener configuration.
When you enable an Availability Zone for the load balancer, Elastic Load Balancing creates a load balancer node in the Availability Zone. By default, each load balancer node distributes traffic across the registered targets in its Availability Zone only. If you enable cross-zone load balancing, each load balancer node distributes traffic across the registered targets in all enabled Availability Zones. For more information, see Availability Zones.
If you enable multiple Availability Zones for your load balancer and ensure that each target group has at least one target in each enabled Availability Zone, this increases the fault tolerance of your applications. For example, if one or more target groups does not have a healthy target in an Availability Zone, we remove the IP address for the corresponding subnet from DNS, but the load balancer nodes in the other Availability Zones are still available to route traffic. If a client doesn't honor the time-to-live (TTL) and sends requests to the IP address after it is removed from DNS, the requests fail.
For TCP traffic, the load balancer selects a target using a flow hash algorithm based on the protocol, source IP address, source port, destination IP address, destination port, and TCP sequence number. The TCP connections from a client have different source ports and sequence numbers, and can be routed to different targets. Each individual TCP connection is routed to a single target for the life of the connection.
For UDP traffic, the load balancer selects a target using a flow hash algorithm based on the protocol, source IP address, source port, destination IP address, and destination port. A UDP flow has the same source and destination, so it is consistently routed to a single target throughout its lifetime. Different UDP flows have different source IP addresses and ports, so they can be routed to different targets.
An Auto Scaling group contains a collection of Amazon EC2 instances that are treated as a logical grouping for the purposes of automatic scaling and management. An Auto Scaling group also enables you to use Amazon EC2 Auto Scaling features such as health check replacements and scaling policies. Both maintaining the number of instances in an Auto Scaling group and automatic scaling are the core functionality of the Amazon EC2 Auto Scaling service.
The size of an Auto Scaling group depends on the number of instances that you set as the desired capacity.
You can adjust its size to meet demand, either manually or by using automatic scaling.
An Auto Scaling group starts by launching enough instances to meet its desired capacity. It maintains this number of instances by performing periodic health checks on the instances in the group. The Auto Scaling group continues to maintain a fixed number of instances even if an instance becomes unhealthy. If an instance becomes unhealthy, the group terminates the unhealthy instance and launches another instance to replace it.
https://docs.aws.amazon.com/elasticloadbalancing/latest/network/introduction.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html

NEW QUESTION: 3
Which two statements describe the Retail Reference Model (RRM)?
A. RRM contains step-by-step instructions for executing tasks in Oracle Retail applications.
B. RRM describes the technical architecture of Oracle Retail applications.
C. RRM contains levell-3 business process flows.
D. RRM depicts the functional flow of retail business process.
Answer: C,D

NEW QUESTION: 4
How can you choose a different brush diameter and hardness when you're using the Brush tool to paint?
A. On the options bar, select an option from the Mode list.
B. In the Tools panel, select a different brush.
C. In the Tools panel, double-click the Brush tool; then select a brush type and click OK.
D. On the options bar, open the Brush Preset picker and select a brush type.
Answer: D