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NEW QUESTION: 1
Sie müssen Role1 implementieren.
Welchen Befehl sollten Sie ausführen, bevor Sie Role1 erstellen? Um zu antworten, wählen Sie die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.
Answer:
Explanation:
NEW QUESTION: 2
How can you remove all deployed process files from a domain before using it for testing?
A. manually delete deployed files and clean the OS registry
B. uninstall and reinstall the Administrator
C. use the Domain Utility to undeploy the application
D. use the Administrator undeploy the process and delete the files
Answer: D
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C
B. オプションA
C. オプションB
D. オプションD
Answer: B
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