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NEW QUESTION: 1

A. Option B
B. Option D
C. Option C
D. Option A
E. Option E
Answer: A,D

NEW QUESTION: 2
トレーニング済みモデルのリアルタイム推論サービスをデプロイします。
デプロイされたモデルはビジネスに不可欠なアプリケーションをサポートします。Webサービスに送信されたデータと、データが生成する予測を監視できることが重要です。
最小限の管理作業で、デプロイされたモデルの監視ソリューションを実装する必要があります。
あなたは何をするべきか？
A. Azure MLスタジオで登録されたモデルの説明を表示します。
B. モデルのトレーニングに使用された実験によって生成されたログファイルを表示します。
C. エンドポイントを参照するMLフロー追跡URIを作成し、MLフローによってログに記録されたデータを表示します。
D. サービスエンドポイントのAzure Application Insightsを有効にし、Azureポータルでログデータを表示します。
Answer: D
Explanation:
Configure logging with Azure Machine Learning studio
You can also enable Azure Application Insights from Azure Machine Learning studio. When you're ready to deploy your model as a web service, use the following steps to enable Application Insights:
1. Sign in to the studio at https://ml.azure.com.
2. Go to Models and select the model you want to deploy.
3. Select +Deploy.
4. Populate the Deploy model form.
5. Expand the Advanced menu.
6. Select Enable Application Insights diagnostics and data collection.

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-enable-app-insights

NEW QUESTION: 3



A. Option B
B. Option A
C. Option C
D. Option D
Answer: D

NEW QUESTION: 4
Where does the system obtain the Stock Removal Control Indicator used to determine the storage type search sequence?
Choose the correct answer(s).
Response:
A. Warehouse product master
B. Storage type
C. Warehouse process type
D. Customizing
Answer: A