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NEW QUESTION: 1
Your customer wants to transfer material from facility A to facility B.
They are using the interorganization transfer to perform the transaction in the system.
Their requirement is "whenever material is transferred from their facility A to facility B, facility B needs to pay 5% additional amount to the current Item cost." Which task must be set up to accomplish this requirement?
A. Manage Cost Plus Pricing
B. Manage Transfer Pricing Rules
C. Manage Cost Organization Relationships
D. Manage Organization Relationships
E. Manage Interorganization Markup
Answer: B

NEW QUESTION: 2

A. Option C
B. Option E
C. Option D
D. Option F
E. Option B
F. Option A
Answer: A,E,F

NEW QUESTION: 3
In HP System Insight Manager version 7 and beyond, which new tool can be used for Baselining? (select 2)
A. Track Hardware and Software Baselines
B. Track Software and Firmware Versions
C. Manage Hardware and Software versions
D. Track Drivers and Firmware Baselines
E. Manage Software and Firmware Baselines
Answer: B,E

NEW QUESTION: 4
You plan to use automated machine learning to train a regression model. You have data that has features which have missing values, and categorical features with few distinct values.
You need to configure automated machine learning to automatically impute missing values and encode categorical features as part of the training task.
Which parameter and value pair should you use in the AutoMLConfig class?
A. task = 'classification'
B. featurization = 'auto'
C. exclude_nan_labels = True
D. enable_voting_ensemble = True
E. enable_tf = True
Answer: B
Explanation:
Featurization str or FeaturizationConfig
Values: 'auto' / 'off' / FeaturizationConfig
Indicator for whether featurization step should be done automatically or not, or whether customized featurization should be used.
Column type is automatically detected. Based on the detected column type preprocessing/featurization is done as follows:
Categorical: Target encoding, one hot encoding, drop high cardinality categories, impute missing values.
Numeric: Impute missing values, cluster distance, weight of evidence.
DateTime: Several features such as day, seconds, minutes, hours etc.
Text: Bag of words, pre-trained Word embedding, text target encoding.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.automlconfig

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