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NEW QUESTION: 1
Which piece of application content do you localize by using a Field Value rule?
A. Logos or other images on a harness rule
B. User instructions in a paragraph rule
C. Labels and drop-down values on a section rule
D. User-editable text in a correspondence rule
Answer: C
Explanation:
Reference:
https://community.pega.com/sites/default/files/help_v63sp1/Content/tools/rulesinspector/ rulesinspectorfieldvalues.htm

NEW QUESTION: 2

A. Option D
B. Option B
C. Option A
D. Option C
Answer: A
Explanation:
You can configure DirectAccess clients to send all of their traffic through the tunnels to theDirectAccess server with force tunneling. When force tunneling is configured,
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DirectAccess server.

NEW QUESTION: 3
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 Relative Expression Split module to partition the data based on centroid distance.
B. Use a Relative Expression Split module to partition the data based on distance travelled to the event.
C. Use a Split Rows module to partition the data based on centroid distance.
D. Use a Split Rows module to partition the data based on distance travelled to the event.
Answer: A
Explanation:
Explanation/Reference:
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

NEW QUESTION: 4

A. Option B
B. Option D
C. Option A
D. Option C
Answer: C