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NEW QUESTION: 1
Which of the following is the correct explanation of the insulation protection of the cabinet?
A. Since the cabinet grounding system is grounded, no insulation protection is required.
B. After the cabinet is installed, the resistance of the base and expansion bolts should be less than 0.5 megohms.
C. After the cabinet is installed, the resistance of the base and expansion bolts should be greater than 30 megohms.
D. After the cabinet is installed, the resistance of the base and expansion bolts should be greater than 5 megohms.
Answer: D

NEW QUESTION: 2
You want to gather as much detail as possible during a network audit with a minimal impact on the network devices themselves.
Which tool would you use to include data time stamping across a large number of interfaces while being customized according to each interface?
A. Cisco Discovery Protocol
B. RMON
C. SNMPv3
D. NetFlow
Answer: D

NEW QUESTION: 3
What is the maximum number of custom auto-attendant applications that you can set up in Cisco Unity Express?
A. 0
B. 1
C. 2
D. 3
E. 4
F. 5
Answer: C

NEW QUESTION: 4
Azure Machine Learning SDKを使用して、分類モデルをトレーニングし、その精度メトリックを計算するトレーニング実験を実行します。
新しいデータが利用可能になると、モデルは毎月再トレーニングされます。
バッチ推論パイプラインで使用するには、モデルを登録する必要があります。
モデルを登録し、その後の再トレーニング実験で作成されたモデルが、現在登録されているモデルよりも精度が高い場合にのみ登録されるようにする必要があります。
この目標を達成するための2つの可能な方法は何ですか？それぞれの正解は完全な解決策を提示します。
注：正しい選択はそれぞれ1ポイントの価値があります。
A. 精度に関係なく毎回同じ名前でモデルを登録し、常に最新のものを使用してください
B. モデルを登録するたびに異なる名前を指定してください。
C. モデルを登録するときに、精度メトリックを値として精度という名前のプロパティを指定し、現在登録されているモデルの精度プロパティ値よりも精度が高い場合にのみ、後続のモデルを登録します。
D. モデル登録時にモデルフレームワークのバージョンを指定し、この値が大きい場合にのみ後続のモデルを登録します。
E. モデルを登録するときに、精度メトリックを値として精度という名前のタグを指定し、現在登録されているモデルの精度タグ値よりも精度が高い場合にのみ、後続のモデルを登録します。
Answer: D,E
Explanation:
E: Using tags, you can track useful information such as the name and version of the machine learning library used to train the model. Note that tags must be alphanumeric.
Reference:
https://notebooks.azure.com/xavierheriat/projects/azureml-getting-started/html/how-to-use-azureml/deployment/register-model-create-image-deploy-service/register-model-create-image-deploy-service.ipynb