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NEW QUESTION: 1
A. Option A
B. Option B
C. Option D
D. Option C
Answer: A,C
Explanation:
http://docs.aws.amazon.com/emr/latest/DeveloperGuide/emr-kinesis.html
NEW QUESTION: 2
A. Option B
B. Option E
C. Option D
D. Option A
E. Option C
F. Option F
Answer: A,B
Explanation:
Explanation
Carefully observe the information given after command show. Fa0/1 is connected to Switch2, seven MAC addresses correspond to Fa0/1, and these MAC are in different VLAN. From this we know that Fa0/1 is the trunk interface.
From the information given by show cdp neighbors we find that there is no Fa0/5 in CDP neighbor. However, F0/5 corresponds to two MAC addresses in the same VLAN. Thus we know that Fa0/5 is connected to a Hub.
Based on the output shown, there are multiple MAC addresses from different VLANs attached to the FastEthernet 0/1 interface. Only trunks are able to pass information from devices in multiple VLANs.
NEW QUESTION: 3
Azure Machine Learningワークスペースで自動機械学習実験を実行します。実行に関する情報を以下の表に示します。
Azure Machine Learning SDKを使用するスクリプトを記述して、実験実行の最適な反復を取得する必要があります。どのPythonコードセグメントを使用する必要がありますか？
A）
B）
C）
D）
A. オプションA
B. オプションC
C. オプションB
D. オプションD
Answer: A
Explanation:
Explanation
The get_output method on automl_classifier returns the best run and the fitted model for the last invocation.
Overloads on get_output allow you to retrieve the best run and fitted model for any logged metric or for a particular iteration.
In [ ]:
best_run, fitted_model = local_run.get_output()
Reference:
https://notebooks.azure.com/azureml/projects/azureml-getting-started/html/how-to-use-azureml/automated-mach