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NEW QUESTION: 1
Your Azure Machine Learning workspace has a dataset named real_estate_data. A sample of the data in the dataset follows.

You want to use automated machine learning to find the best regression model for predicting the price column.
You need to configure an automated machine learning experiment using the Azure Machine Learning SDK.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

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
Which of the following 5G service application does unmanned aerial vehicle (UAV) refer to?
A. IoT
B. SMART grid
C. AUTOMATED DRIVING
D. Drone
Answer: D

NEW QUESTION: 3
An administrator has backups failing with status code 96 due to tapes being prevented from returning to the scratch volume pool after the images they contain expire.
What prevented the media from returning to the scratch pool?
A. media was in an off-site location
B. media was written with multiplexed images
C. media was in a Suspended state
D. media was created in volume pools other than the scratch pool
Answer: D

NEW QUESTION: 4

A. Option D
B. Option A
C. Option C
D. Option B
Answer: A
Explanation:
NOT A Will not resolve the issue Need to create a new arbirtration mailbox
NOT B Will not resolve the issue Need to create a new arbirtration mailbox
NOT C Will not resolve the issue Need to create a new arbirtration mailbox
D Exchange Server 2013 CAS role proxies the OAB download request to a "nearest" mailbox server hosting an active Organization Mailbox. Both London and New York host a mailbox server and a client access server. Therefore you need to create a new active Organization Mailbox Administrators can create additional Organization Mailboxes for fault tolerance or for serving users in a geographically disbursed Exchange deployment.
The Organization Mailbox The Organization Mailbox is a new type of arbitration mailbox introduced with Exchange 2013.
The arbitration mailbox with persisted capability OrganizationCapabilityOABGen is referred to as Organization Mailbox. It plays a crucial role in OAB generation, storage and distribution. Each Exchange Server 2013 mailbox role hosting an Organization Mailbox will generate all Exchange 2013 OAB's defined in the environment. The OAB is generated in the Organization Mailbox first and later copied to the disk. http://technet.microsoft.com/en-us/library/aa997663(v=exchg.150).aspx