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NEW QUESTION: 1
Requirements documentation can either be natural language or model-based. Which two
statements are most applicable? (2 Points)
A. When deciding between model-based and natural language documentation, model-based is preferable.
B. If documentation is model-based, natural language documentation can be dispensed with.
C. In requirements engineering models are more suitable than textual descriptions to reduce the complexity of the entity being considered.
D. As models are more formal, they offer a higher degree of uniqueness compared to natural language.
Answer: B,D

NEW QUESTION: 2
VNet1という名前の仮想ネットワークを含むSubscription1という名前のAzureサブスクリプションがあります。
次の表にユーザーを追加します。

どっち？回答するには、回答領域で適切なオプションを選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/role-based-access-control/built-in-roles

NEW QUESTION: 3
会社のWebアプリケーションが複数のLinux Amazon EC2インスタンスを使用しており、Amazon EBSボリュームにデータを保存しています。同社は、障害が発生した場合にアプリケーションの回復力を高め、原子性、一貫性、分離、および耐久性（ACID）に準拠したストレージを提供するソリューションを探しています。
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？
A. 複数のアベイラビリティーゾーンにわたるAuto Scalingグループを使用してApplication Load Balancerを作成します。
Amazon EFSにデータを保存し、各インスタンスにターゲットをマウントします。
B. 複数のアベイラビリティーゾーンにわたってAutoScalingグループを使用してApplication Load Balancerを作成し、各EC2インスタンスにインスタンスストアをマウントします
C. 各アベイラビリティーゾーンのEC2インスタンスでアプリケーションを起動します。 EBSボリュームを各EC2インスタンスに接続します。
D. Amazon S3 1ゾーン-低頻度アクセス（S3 1ゾーン-IA）を使用して、複数のアベイラビリティーゾーンストアデータにAuto Scalingグループを持つApplication Load Balancerを作成します
Answer: A
Explanation:
How Amazon EFS Works with Amazon EC2
The following illustration shows an example VPC accessing an Amazon EFS file system. Here, EC2 instances in the VPC have file systems mounted.
In this illustration, the VPC has three Availability Zones, and each has one mount target created in it. We recommend that you access the file system from a mount target within the same Availability Zone. One of the Availability Zones has two subnets. However, a mount target is created in only one of the subnets.

Benefits of Auto Scaling
Better fault tolerance. Amazon EC2 Auto Scaling can detect when an instance is unhealthy, terminate it, and launch an instance to replace it. You can also configure Amazon EC2 Auto Scaling to use multiple Availability Zones. If one Availability Zone becomes unavailable, Amazon EC2 Auto Scaling can launch instances in another one to compensate.
Better availability. Amazon EC2 Auto Scaling helps ensure that your application always has the right amount of capacity to handle the current traffic demand.
Better cost management. Amazon EC2 Auto Scaling can dynamically increase and decrease capacity as needed. Because you pay for the EC2 instances you use, you save money by launching instances when they are needed and terminating them when they aren't.
https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html#how-it-works-ec2
https://docs.aws.amazon.com/autoscaling/ec2/userguide/auto-scaling-benefits.html