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NEW QUESTION: 1
A company's web application is using multiple Linux Amazon EC2 instances and storing data on Amazon EBS volumes. The company is looking for a solution to increase the resiliency of the application in case of a failure and to provide storage that complies with atomicity, consistency, isolation, and durability (ACID).
What should a solutions architect do to meet these requirements?
A. Create an Application Load Balancer with Auto Scaling groups across multiple Availability Zones Mount an instance store on each EC2 instance
B. Create an Application Load Balancer with Auto Scaling groups across multiple Availability Zones.
Store data on Amazon EFS and mount a target on each instance.
C. Create an Application Load Balancer with Auto Scaling groups across multiple Availability Zones Store data using Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA)
D. Launch the application on EC2 instances in each Availability Zone. Attach EBS volumes to each EC2 instance.
Answer: B
Explanation:
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

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You deploy Office 365 for all company users. You use Microsoft Exchange Online for company email. You must develop a process to assign licenses to new users in your company.
You need to implement the licensing process.
Solution: Run the Set-Mailbox Windows PowerShell cmdlet.
Does the solution meet the goal?
A. No
B. Yes
Answer: A

NEW QUESTION: 3
クラウド管理者は、IaaSプロバイダーによってホストされているアプリケーションを保護しています。 VM上のオペレーティングシステムが更新されました。オペレーティングシステムに関係なく、脆弱なサービスに対する攻撃からVMを保護するために、管理者は次のうちどれを使用する必要がありますか？
A. 侵入検知
B. アンチウイルス
C. ファイアウォール
D. パッチ管理
Answer: A

NEW QUESTION: 4
You have an Azure subscription that contains a resources group named RG1. RG1 contains the following resources:
* Four Azure virtual machines that run Windows Server and have Internet Information Services (IIS) installed
* SQL Server on an Azure virtual machine
* An Azure Load Balancer
You need to deploy an application to the virtual machines in RG1 by using Azure Pipelines.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the List of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Step 1: Create an agent pool
Azure Pipelines provides a pre-defined agent pool named Azure Pipelines with Microsoft-hosted agents.
Step 2: Create a deployment group
Deployment groups make it easy to define logical groups of target machines for deployment, and install the required agent on each machine.
Step 3: Execute the Azure Pipelines Agent extension to the virtual machines Install the Azure Pipelines Agent Azure VM extension Step 4: Add and configure a deployment group job for the pipeline Tasks that you define in a deployment group job run on some or all of the target servers, depending on the arguments you specify for the tasks and the job itself.
Reference:
https://docs.microsoft.com/en-us/azure/devops/pipelines/release/deployment-groups/howto-provision-deploymen