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NEW QUESTION: 1
Which scheduling is concerned with production activity from the present to a few months ahead?
A. Later production
B. Small Production
C. Master production
D. Early production
Answer: C
NEW QUESTION: 2
A customer wants to settle an internal order to cost centers, but receives an error message.
What do you check?
A. The sender and receiver to be assigned to the same profit center.
B. The costing sheet.
C. The system and the user status.
D. The PA transfer structure of the order.
Answer: C
NEW QUESTION: 3
For which type of data is network-attached storage best suited?
A. persistent data
B. dynamic data
C. streaming data
D. file data
Answer: D
NEW QUESTION: 4
You need to implement a model development strategy to determine a user's tendency to respond to an ad.
Which technique should you use?
A. Use a Split Rows module to partition the data based on distance travelled to the event.
B. Use a Relative Expression Split module to partition the data based on distance travelled to the event.
C. Use a Relative Expression Split module to partition the data based on centroid distance.
D. Use a Split Rows module to partition the data based on centroid distance.
Answer: C
Explanation:
Split Data partitions the rows of a dataset into two distinct sets.
The Relative Expression Split option in the Split Data module of Azure Machine Learning Studio is helpful when you need to divide a dataset into training and testing datasets using a numerical expression.
Relative Expression Split: Use this option whenever you want to apply a condition to a number column. The number could be a date/time field, a column containing age or dollar amounts, or even a percentage. For example, you might want to divide your data set depending on the cost of the items, group people by age ranges, or separate data by a calendar date.
Scenario:
Local market segmentation models will be applied before determining a user's propensity to respond to an advertisement.
The distribution of features across training and production data are not consistent References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data
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