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NEW QUESTION: 1
In the Avaya Session Border Controller for Enterprise (SBCE), before a traffic carrying Network Interface
(Al or Bl) can be pinged, to which state do you have to toggle the status on Device Specific Settings>
Network Management/ Interfaces?
A. In-Service
B. Accept Service
C. Enabled
D. Active
Answer: C
Explanation:
Commission the SBC-SBC Configuration
1 . The Al and Bl interfaces display on the Network Configuration tab:

2 . Click on the Interface Configuration tab:

3 . Click the Toggle link for both the Al and the Bl interfaces.
The Administrative Status for both Al and Bl changes to Enabled:

References:
Avaya Aura Session Border Controller Enterprise Implementation and Maintenance (2012), page 203

NEW QUESTION: 2
On which storage objects is data Reduction supported?
A. VMFS datastores and VVols
B. Thin LUNs and thin VMFS datastores
C. Thick LUNs and VVols
D. Thin LUNs and thick LUNs
Answer: D

NEW QUESTION: 3
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. 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。
B. Azure MLスタジオで登録されたモデルの説明を表示します。
C. 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。
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:
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