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NEW QUESTION: 1
Azure Machine Learningワークスペースには、real_estate_dataという名前のデータセットがあります。データセット内のデータのサンプルを次に示します。

自動機械学習を使用して、価格列を予測するための最適な回帰モデルを見つけたいと考えています。
Azure Machine Learning SDKを使用して、自動機械学習実験を構成する必要があります。
コードをどのように完成させる必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: training_data
The training data to be used within the experiment. It should contain both training features and a label column (optionally a sample weights column). If training_data is specified, then the label_column_name parameter must also be specified.
Box 2: validation_data
Provide validation data: In this case, you can either start with a single data file and split it into training and validation sets or you can provide a separate data file for the validation set. Either way, the validation_data parameter in your AutoMLConfig object assigns which data to use as your validation set.
Example, the following code example explicitly defines which portion of the provided data in dataset to use for training and validation.
dataset = Dataset.Tabular.from_delimited_files(data)
training_data, validation_data = dataset.random_split(percentage=0.8, seed=1) automl_config = AutoMLConfig(compute_target = aml_remote_compute, task = 'classification', primary_metric = 'AUC_weighted', training_data = training_data, validation_data = validation_data, label_column_name = 'Class' ) Box 3: label_column_name label_column_name:
The name of the label column. If the input data is from a pandas.DataFrame which doesn't have column names, column indices can be used instead, expressed as integers.
This parameter is applicable to training_data and validation_data parameters.
Incorrect Answers:
X: The training features to use when fitting pipelines during an experiment. This setting is being deprecated. Please use training_data and label_column_name instead.
Y: The training labels to use when fitting pipelines during an experiment. This is the value your model will predict. This setting is being deprecated. Please use training_data and label_column_name instead.
X_valid: Validation features to use when fitting pipelines during an experiment.
If specified, then y_valid or sample_weight_valid must also be specified.
Y_valid: Validation labels to use when fitting pipelines during an experiment.
Both X_valid and y_valid must be specified together.
exclude_nan_labels: Whether to exclude rows with NaN values in the label. The default is True.
y_max: y_max (float)
Maximum value of y for a regression experiment. The combination of y_min and y_max are used to normalize test set metrics based on the input data range. If not specified, the maximum value is inferred from the data.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.automlconfig?view=azure-ml-py

NEW QUESTION: 2
A network administrator examines an HP Comware switch that is configured to route packets between VLANs. The switch is configured with multiple routing protocols. All routing protocols have learned of the same destination network. All routing protocols use the default administrative distances.
Which routing protocol does the switch select for the destination network?
A. Indirect
B. Static route
C. EIGRP
D. OSPF
Answer: D

NEW QUESTION: 3
You work as a developer at ABC.com. ABC.com makes use of Microsoft Dynamics AX 2012 in their environment.
You are in the process of creating an X++ select statement. You want to make sure that the output of the select statement is displayed in reverse order via the use of the reverse keyword.
Which of the following actions should you take?
A. You should consider making use of the order by clause in the X++ select statement.
B. You should consider making use of the noFetch join clause in the X++ select statement.
C. You should consider making use of the group by clause in the X++ select statement.
D. You should consider making use of the sort by clause in the X++ select statement.
Answer: A

NEW QUESTION: 4
A customer has two data centers and each data center has an identical EMC Data Domain system. The customer needs a replication strategy that meets the following objectives:
User name and passwords are unique

/data/col1/backup are identical

Data Domain destination directory is read only

Ownership and permissions remain identical

Which type of Data Domain replication should be configured?
A. Pool
B. Collection
C. MTree
D. Directory
Answer: D