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NEW QUESTION: 1
Exhibit.

Referring to the exhibit, which two statements are true with regards to deploying CoS? (Choose two.)
A. You should apply MF classifiers on the point-to-point interfaces of the routers
B. You should apply MF classifiers on the LAN-facing interfaces of the routers
C. You should apply BA classifiers on the LAN-facing interfaces of the routers
D. You should apply BA classifiers on the point-to point interfaces of the routers.
Answer: B,D

NEW QUESTION: 2
In the Alcatel-Lucent SROS, which BGP address family is configured to support MCAST-VPN NLRI?
A. mvpn-ipv6
B. mvpn-ipv4
C. vpn-ipv6
D. vpn-ipv4
Answer: B

NEW QUESTION: 3
Azure Machine Learningサービスを使用して、training.dataという名前の表形式のデータセットを作成します。このデータセットをトレーニングスクリプトで使用する予定です。
次のコードを使用して、データセットを参照する変数を作成します。
training_ds = workspace.datasets.get（ "training_data"）
スクリプトを実行する推定器を定義します。
スクリプトがtraining.dataデータセットにアクセスできるようにするには、推定器の正しいプロパティを設定する必要があります。どのプロパティを設定する必要がありますか？
A）

B）

C）

D）

A. オプションB
B. オプションD
C. オプションA
D. オプションC
Answer: C
Explanation:
Explanation
Example:
# Get the training dataset
diabetes_ds = ws.datasets.get("Diabetes Dataset")
# Create an estimator that uses the remote compute
hyper_estimator = SKLearn(source_directory=experiment_folder,
inputs=[diabetes_ds.as_named_input('diabetes')], # Pass the dataset as an input compute_target = cpu_cluster, conda_packages=['pandas','ipykernel','matplotlib'], pip_packages=['azureml-sdk','argparse','pyarrow'], entry_script='diabetes_training.py') Reference:
https://notebooks.azure.com/GraemeMalcolm/projects/azureml-primers/html/04%20-%20Optimizing%20Model