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NEW QUESTION: 1
You collect data from a nearby weather station. You have a pandas dataframe named weather_df that includes the following data:

The data is collected every 12 hours: noon and midnight.
You plan to use automated machine learning to create a time-series model that predicts temperature over the next seven days. For the initial round of training, you want to train a maximum of 50 different models.
You must use the Azure Machine Learning SDK to run an automated machine learning experiment to train these models.
You need to configure the automated machine learning run.
How should you complete the AutoMLConfig definition? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Answer:
Explanation:

Explanation:
Box 1: forcasting
Task: The type of task to run. Values can be 'classification', 'regression', or 'forecasting' depending on the type of automated ML problem to solve.
Box 2: temperature
The training data to be used within the experiment. It should contain both training features and a label column (optionally a sample weights column).
Box 3: observation_time
time_column_name: The name of the time column. This parameter is required when forecasting to specify the datetime column in the input data used for building the time series and inferring its frequency. This setting is being deprecated. Please use forecasting_parameters instead.
Box 4: 7
"predicts temperature over the next seven days"
max_horizon: The desired maximum forecast horizon in units of time-series frequency. The default value is 1.
Units are based on the time interval of your training data, e.g., monthly, weekly that the forecaster should predict out. When task type is forecasting, this parameter is required.
Box 5: 50
"For the initial round of training, you want to train a maximum of 50 different models." Iterations: The total number of different algorithm and parameter combinations to test during an automated ML experiment.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.automlconfig

NEW QUESTION: 2
Which of the following can be done to help minimize distractions?
A. All of the above.
B. Ensure learners know the schedule for breaks and meals.
C. Ensure learners know the rules for dress and conduct.
D. Ensure exterior noises or interruptions are controlled as well as possible.
Answer: A

NEW QUESTION: 3
Click the Exhibit button.

Referring to the exhibit, which statement contains the correct gateway parameters?
A. [edit security ike]
user@host# show
gateway ike-phase1-gateway {
ike-policy ike-policy1;
address 10.10.10.1;
dead-peer-detection {
interval 20;
threshold 5;
}
external-interface ge-1/0/1.0;
}
B. [edit security ike]
user@host# show
gateway ike-phase1-gateway {
policy ike1-policy;
address 10.10.10.1;
dead-peer-detection {
interval 20;
threshold 5;
} external-interface ge-1/0/1.0; }
C. [edit security ike]
user@host# show
gateway ike-phase1-gateway {
policy ike-policy1;
address 10.10.10.1;
dead-peer-detection {
interval 20;
threshold 5;
}
external-interface ge-1/0/1.0;
}
D. [edit security ike]
user@host# show
gateway ike-phase1-gateway {
ike-policy ike1-policy;
address 10.10.10.1;
dead-peer-detection {
interval 20;
threshold 5;
}
external-interface ge-1/0/1.0;
}
Answer: A

NEW QUESTION: 4
如果数据包在 MSR 路由器的路由表中匹配多条路由项,那么关于路由优选的顺序描述正确的是 ______ 。
A. Preference 值越小的路由越优选
B. 掩码越短的路由越优先
C. Cost 值越小的路由越优选
D. 掩码越长的路由越优先
Answer: D