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NEW QUESTION: 1
An application deployed on AWS Elastic Beanstalk experiences increased error rates during deployments of new application versions, resulting in service degradation for users. The Development team believes that this is because of the reduction in capacity during the deployment steps. The team would like to change the deployment policy configuration of the environment to an option that maintains full capacity during deployment while using the existing instances.
Which deployment policy will meet these requirements while using the existing instances?
A. All at once
B. Rolling with additional batch
C. Immutable
D. Rolling
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.rolling-version-deploy.html

NEW QUESTION: 2
You have a file server named Server1 that runs a Server Core Installation of Windows Server 2012 R2.
Server1 has a volume named D that contains user data. Server1 has a volume named E that is empty.
Server1 is configured to create a shadow copy of volume D every hour. You need to configure the shadow copies of volume D to be stored on volume E.
What should you run?
A. The Set-Volume cmdlet with the -driveletter parameter
B. The Set-Volume cmdlet with the -path parameter
C. The vssadmin.exe create shadow command
D. The vssadmin.exe add shadowstorage command
Answer: D
Explanation:
Add ShadowStorage
Adds a shadow copy storage association for a specified volume.
Incorrect:
Not A. Sets or changes the file system label of an existing volume. -DriveLetter Specifies a letter used to identify a drive or volume in the system.
Not B. Create Shadow
Creates a new shadow copy of a specified volume.
Not C. Sets or changes the file system label of an existing volume -Path Contains valid path information.
Reference: Vssadmin; Set-Volume
http://technet.microsoft.com/en-us/library/cc754968(v=ws.10).aspx
http://technet.microsoft.com/en-us/library/hh848673(v=wps.620).aspx

NEW QUESTION: 3
会社がクラウドに移行しています。既存のデータセンター環境で仮想マシンの構成を評価して、新しいAmazon EC2インスタンスを正確にサイズ設定できることを確認したいと考えています。会社は、CPU、メモリ、ディスク使用率などのメトリックを収集することを望んでおり、各インスタンスで実行されているプロセスのインベントリが必要です。また、ネットワーク接続を監視して、サーバー間の通信をマッピングしたいと考えています。
このデータの収集を最も費用対効果の高い方法で実行できるのはどれですか？
A. AWS Application Discovery Serviceを使用して、データセンターの各仮想マシンにデータ収集エージェントをデプロイします。
B. AWSマネジメントコンソールでAWS Application Discovery Serviceを有効にし、VPN経由のスキャンを許可するように企業ファイアウォールを設定します。
C. ローカル環境内のすべてのサーバーでAmazon CloudWatchエージェントを設定し、メトリックスをAmazon CloudWatch Logsに発行します。
D. AWS Application Discovery Serviceを使用して、既存の仮想化環境でエージェントレス検出を有効にします。
Answer: A
Explanation:
A: Agent is needed because network dependencies are needed.
B: CloudWatch is not suitable.
C\D: Agentless is only for VMWare environment where network dependencies are not needed.
AWS Application Discovery Service collects and presents data to enable enterprise customers to understand the configuration, usage, and behavior of servers in their IT environments. Server data is retained in the Application Discovery Service where it can be tagged and grouped into applications to help organize AWS migration planning. Collected data can be exported for analysis in Excel or other cloud migration analysis tools.
AWS Application Discovery Service supports agent-based and agentless modes of operation.
With the agentless discovery, VMware customers collect VM configuration and performance profiles without deploying the AWS Application Discovery Agent on each host, which accelerates data collection. Customers in a non-VMware environment or that need additional information, like network dependencies and information about running processes, may install the Application Discovery Agent on servers and virtual machines (VMs) to collect data.