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NEW QUESTION: 1
Which of the following correctly describe the use of the collected logs?
A. They are used in the active and passive monitoring process.
B. They are used in the archiving process only.
C. They are used in the active monitoring process only.
D. They are used in the passive monitoring process only.
Answer: A
Explanation:
All logs collected are used in the active and passive monitoring process. All logs are kept on archive for a period of time. This period of time will be determined by your company policies. This allows the use of logs for regular and annual audits if retention is longer then a year. Logs must be secured to prevent modification, deletion, and destruction.
NEW QUESTION: 2
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
質問に答えた後、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
ストリーミングデータを生成するAzure IoT Edgeデバイスがあります。
デバイスでは、Azure Machine Learningモデルを使用してデータの異常を検出する必要があります。異常が検出されたら、デバイスは異常に関する情報をAzure IoT Hubストリームに追加する必要があります。
ソリューション：Azure FunctionsをIoT Edgeモジュールとしてデプロイします。
これは目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
代わりに、Azure Stream AnalyticsとREST APIを使用してください。
注意。クラウドとAzure IoT Edgeの両方で利用可能なAzure Stream Analyticsは、最も一般的に発生する2つの異常を監視するために使用できる組み込みの機械学習ベースの異常検出機能を提供します。
一時的かつ永続的。
Stream Analyticsは、REST APIを介して、Azure Machine Learningエンドポイントを呼び出すユーザー定義関数をサポートしています。
参照：
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection
NEW QUESTION: 3
A. Option D
B. Option C
C. Option B
D. Option A
Answer: C