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NEW QUESTION: 1
温度センサーから測定データを生成するAzure IoT Edgeデバイスがあります。データの変化は非常にゆっくりです。
一時的な2分間のウィンドウでデータを分析する必要があります。温度が制限を5度上回った場合、アラートを発生させる必要があります。ソリューションは、カスタムコードの開発を最小限に抑える必要があります。
何を使うべきですか？
A. IoT EdgeモジュールとしてのAzure Stream Analytics
B. IoT EdgeモジュールとしてのAzure Machine Learningモデル
C. IoT EdgeモジュールとしてのAzure機能
D. Webサービスとしての機械学習モデル
Answer: A
Explanation:
References:
https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-stream-analytics

NEW QUESTION: 2
You attempt to store an object in the US-STANDARD region in Amazon S3, and receive a confirmation
that it has been successfully stored. You then immediately make another API call and attempt to read this
object. S3 tells you that the object does not exist
What could explain this behavior?
A. US-STANDARD imposes a 1 second delay before new objects are readable.
B. You exceeded the bucket object limit, and once this limit is raised the object will be visible.
C. Objects in Amazon S3 do not become visible until they are replicated to a second region.
D. US-STANDARD uses eventual consistency and it can take time for an object to be readable in a bucket
Answer: D

NEW QUESTION: 3
Ansibleは、たとえ利用可能であっても、事実を収集するためにAnsibleを使用しませんか。
A. Ansibleセットアップモジュール
B. lsb_release
C. ファクター
D. オハイ
Answer: B
Explanation:
Ansibleはそれ自身の `setup 'モジュールを使ってローカルシステムの事実を集めるでしょう。さらに、ohaiまたはfacterがインストールされている場合は、それらも使用され、すべての変数の先頭には `ohai_ 'または
それぞれ `facter_ '。 `lsb_relase 'は配布情報を決定するためのLinuxツールです。
参照先：http://docs.ansible.com/ansible/setup_module.html