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NEW QUESTION: 1
Is this a service that HPE partners can deliver on behalf of HPE for HPE GreenLake solutions?
Solution: HPE Cloud Consulting Services.
A. No
B. Yes
Answer: B
NEW QUESTION: 2
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.auto
NEW QUESTION: 3
Given the SAS data sets ONE and TWO:
The following SAS program is submitted:
Data combine;
Merge one two;
By id;
Run;
Which SQL procedure program procedures the same results?
A. proc sql;
Create table combine as
Select one.id,
Name, salary from one full join two where one.id=two.id;
Quit
B. proc sql;
Create table combine as
Select one.id,name,salary from one inner join two on one.id=two.id
Quit
C. proc sql;
Create table combine as
Select coalesce (one id, two id) as id,
Name,salary from one full join two on one.id=two.id;
Quit;
D. proc sql;
Create table combine as
Select coalesce (one.id, two.id) as id,
Name,salary from one, two where one.id=two.id;
Quit;
Answer: C
NEW QUESTION: 4
DRAG DROP
Answer:
Explanation:
Explanation:
Correct Order of Actions:-1. Install ATA Center (on Server1 for example)2. Install ATA
Gateway (on Server2 for example, if Server2 has internet connectivity)3. Set the ATA
Gateway configuration settings. (Register Server2 ATA Gateway to Server1's ATA
Center)4. Install the ATA Lightweight Gateway.Since there are not switch-based port mirroring choice used to capture domain controller's inbound andoutbound traffic,installing
ATA Lightweight Gateway on DCs to forward security related events to ATA Center is necessary.