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NEW QUESTION: 1
幹部が、モバイルデバイスの問題についてヘルプデスクのチャットサポートを通じてあなたに連絡しました。
問題を解決するために幹部を支援します。
インストラクション
回答ごとに最も適切なステートメントを選択してください。
いつでもシミュレーションの初期状態に戻したい場合は、[すべてリセット]ボタンをクリックしてください。
スマートフォンの設定を見てみましょう。
メール設定のポート番号を993に変更してください。
次のうちどれを実行する必要がありますか？
A. Telecomにメールを送信して問題を通知し、再発を防止します
B. 実行されたソリューションについてユーザーに説明する
C. 次回、時間をかけて自分で修正するようにユーザーに伝えます
D. チケットを締めます
Answer: B
NEW QUESTION: 2
What is the common prefix for all server objects that are created for automatic client deployment by the IBM Tivoli Storage Manager V6.3 server?
A. CLIENT_DEPLOY
B. IBM_CLIENT_DEPLOY
C. OS_CLIENT_DEPLOY
D. TSM_CLIENT_DEPLOY
Answer: B
NEW QUESTION: 3
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 Machine Learningモデルを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. いいえ
B. はい
Answer: B
Explanation:
Explanation
You can use IoT Edge modules to deploy code that implements your business logic directly to your IoT Edge devices. For example, you can deploy an Azure Machine Learning module that predicts when a device fails based on simulated machine temperature data.
References:
https://docs.microsoft.com/bs-latn-ba/azure/iot-edge/tutorial-deploy-machine-learning