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Pegasystems Exam PEGACPDS88V1 Topic 7 Question 32 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam
Question #: 32
Topic #: 7
[All PEGACPDS88V1 Questions]

You can use various data types in adaptive analytics. Some of these require preprocessing before being used as a potential predictor. Others can be used directly. Which two data types require no preprocessing? (Choose Two)

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Suggested Answer: C

When using machine learning, the Must keywords function aspositive features.


Contribute your Thoughts:

Catina
2 months ago
I heard you can train a model on random keyboard smashes and it'll perform just as well as the 'correct' data types. Brb, going to try that out and become the next data science superstar.
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Caitlin
2 months ago
B) Dates with absolute time/date values, such as birthdays
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Tori
2 months ago
A) Text data such as Twitter messages
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Ludivina
3 months ago
Wait, you mean I can't just feed the machine learning model a jumble of emojis and expect it to figure things out? Darn, there goes my plan for world domination. Oh well, guess I'll have to settle for B and E.
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Annett
2 months ago
Yeah, those are the two data types that don't need preprocessing.
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Cruz
2 months ago
E) Numeric data such as customer age and income
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Wilbert
2 months ago
A) Text data such as Twitter messages
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Idella
3 months ago
Definitely B and E. I'm not touching that Twitter data with a 10-foot pole, and event streams sound like a real headache. Give me some good old-fashioned numbers and dates any day!
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Enola
3 months ago
I'm torn between B and D. Symbolic data with 200 values doesn't sound too bad, but then again, who wants to deal with dates? Maybe I'll just go with my gut and pick B and E.
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Mila
2 months ago
I see your point, but I think B and E are safer choices.
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Glory
2 months ago
I'm leaning towards B and D. Symbolic data seems manageable.
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Jin
2 months ago
I agree, dates can be a hassle. Stick with B and E.
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Shawnna
3 months ago
I think B and E are the way to go. Dates can be tricky.
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Lang
3 months ago
B and E seem the most straightforward to use without preprocessing. Dates and numeric data are usually pretty clean and ready to go.
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Johna
3 months ago
I believe numeric data such as customer age and income can also be used directly without preprocessing.
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Marguerita
3 months ago
I agree with Malinda. Dates are straightforward to use as predictors without any preprocessing.
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Malinda
4 months ago
I think dates with absolute time/date values like birthdays require no preprocessing.
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