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

NEW QUESTION: 2

A. Option C
B. Option D
C. Option B
D. Option A
Answer: B
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,
DirectAccess clients that detect that they are on the Internet modify their IPv4 default route so that default route IPv4 traffic is not sent. With the exception of local subnet traffic, all traffic sent by the DirectAccess client is IPv6 traffic that goes through tunnels to the
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 Split Rows 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 distance travelled to the event.
D. Use a Split Rows module to partition the data based on centroid distance.
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 C
B. Option B
C. Option A
D. Option D
Answer: C