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NEW QUESTION: 1
Welches organisatorische Element des Kreditmanagements ist für die Berechnung des Kreditlimits erforderlich und ermöglicht es Ihnen, detaillierte Prüfungen bei der Geschäftsantwort durchzuführen:
A. Verkaufsbereich
B. Buchungskreis
C. Kreditkontrollbereich
D. Kreditsegment
Answer: C
NEW QUESTION: 2
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は次のとおりです。
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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。
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Answer:
Explanation:
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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: 3
You have a small Hyper-V cluster built on two hosts that run Windows Server 2012 R2 Hyper-V. You manage the virtual infrastructure by using System Center Virtual Machine Manager 2012.
Distributed Key Management is not installed. You have the following servers in the environment:
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You have the following requirements:
You must back up virtual machines at the host level.
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You must be able to back up virtual machines that are configured for live migration.
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You must be able to restore the entire VMM infrastructure.
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You need to design and implement the backup plan.
What should you do?
A. Install the DPM console on VMM1
B. Install the VMM console on DPM1.
C. Run the following Windows PowerShell command: Checkpoint-VM -Name DPM1 -ComputerName SQL1
D. Configure System State Backup for DC1.
E. Configure backup for all disk volumes on FILESERVER1.
F. Run the following Windows PowerShell command:
Get-VM VMM1 | Checkpoint-VM -SnapshotName "VMM backup"
G. Run the following Windows PowerShell command:
Checkpoint-VM -Name DPM1 -ComputerName SQL1
Answer: B
NEW QUESTION: 4
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Refer to the exhibit. Which effect of this configuration is true?
A. it enables local group membership for MLDv1 and MLDv2.
B. It enables MLD query messages for all link-local groups.
C. It enables hosts to send MLD report messages for groups 224.0.0.0/24.
D. It configures the node to generate a link-local group report when it joins the solicited- node multicast group.
E. It enables the host to send MLD report messages for nonlink local groups.
Answer: C
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