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NEW QUESTION: 1
同社はAWS上でのワークロードの継続的な統合を実装したい。同社は、そのコード・リポジトリでコミットするために、パイプラインで単体テストをトリガーしたいと考えており、パイプラインの故障イベントを通知したい。
どのようにこれらの要件を満たすことができますか？
A. ソースコードをgithubに保存します。ユニットテストを自動化するcodepipelineを作成します。Amazon CloudWatchを使用して、失敗イベントの通知をトリガします。
B. ソースコードをgithubに保存します。ユニットテストを自動化するcodepipelineを作成します。Amazon SESを使用して、失敗イベントの通知をトリガーします。
C. ソースコードをAWS CodeDecmitに保存します。ユニットテストを自動化するcodepipelineを作成します。Amazon CloudWatchを使用して、失敗イベントの通知をトリガします。
D. ソースコードをAWS CodeDecmitに保存します。ユニットテストを自動化するcodepipelineを作成します。Amazon SNSを使用して、失敗イベントの通知をトリガーします。
Answer: D
NEW QUESTION: 2
Which server management solution simplifies and modernizes the booting process in a secure and efficient manner?
A. Unified Extensible Firmware Interface (UEFl)
B. HPE iLO Management Engine
C. HPE Smart Update Manager
D. HPE Intelligent Provisioning
Answer: A
NEW QUESTION: 3
For the interface ge-1/2/3.4, what does "ge" represent?
A. Aggregated Ethernet
B. SONET/SDH
C. GRE
D. Gigabit Ethernet
Answer: B
NEW QUESTION: 4
Which of the choices below best describes what Auto Scaling is well suited for?
A. Both for applications that use frameworks and SDKs to enhance its customer relationship.
B. only for applications with a stable usage pattern but extremely high workload.
C. only for applications that experience hourly, daily, or weekly variability in usage.
D. Both for applications that have stable demand patterns and that experience hourly, daily, or weekly variability in usage.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Auto Scaling is well suited to both applications that have stable demand patterns and that experi-ence hourly, daily, or weekly variability in usage. Whether the demand is predictable or unpredicta-ble auto scaling can be a good choice. If the demand is predictable and long term you may choose reserved instances. If the demand is unpredictable you may choose on-demand or even spot instance (if you can afford to have an instance lost unexpectedly).
Reference: http://aws.amazon.com/autoscaling/