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Pegasystems PEGACPDS88V1 Exam - Topic 7 Question 32 Discussion

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)
C) Event stream data, such as recent transactions
A) Text data such as Twitter messages
B) Dates with absolute time/date values, such as birthdays
D) Symbolic data with up to 200 distinct values, such as products bought previously
E) Numeric data such as customer age and income

Pegasystems PEGACPDS88V1 Exam - 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.


by Dierdre at Mar 03, 2025, 04:48 PM

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Audry
7 months ago
I thought text data was pretty messy and needed a lot of work.
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Oliva
7 months ago
Totally agree with B! Dates are straightforward.
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Madalyn
7 months ago
C seems like a good choice too, event streams are often ready to go!
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German
7 months ago
Wait, are you sure about E? Numeric data usually needs some cleaning.
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Wilda
8 months ago
I think B and E are the ones that need no preprocessing.
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Paris
8 months ago
I’m pretty confident that numeric data can be used directly, but I’m unsure about the second option.
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Fredric
8 months ago
I feel like text data definitely needs some work before using it, so I’m leaning towards dates and maybe numeric data.
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Javier
8 months ago
I remember practicing a question like this, and I think event stream data might require some preprocessing.
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Laticia
9 months ago
I think dates with absolute values might not need preprocessing, but I'm not sure about the other one.
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Mike
9 months ago
Ah, I remember this from the lectures. Dates and event stream data can be used directly without any preprocessing. I'll confidently select those two choices.
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Darrin
9 months ago
This is a tricky one. I know numeric data needs preprocessing, but I'm not sure about the other data types. I'll have to review my notes and try to eliminate the ones that do require preprocessing.
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Deangelo
9 months ago
Okay, let me see. Numeric data definitely needs preprocessing, but I'm pretty sure dates and event stream data can be used directly. I'll go with those two options.
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Julene
9 months ago
Hmm, I'm a bit unsure about this. I think text data and symbolic data might not need preprocessing either, but I'm not totally sure. I'll have to think this through carefully.
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Kanisha
9 months ago
I'm pretty confident I know the answer to this one. Dates and event stream data don't require any preprocessing, so I'll select those.
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Catina
1 year 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
1 year ago
B) Dates with absolute time/date values, such as birthdays
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Tori
1 year ago
A) Text data such as Twitter messages
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Ludivina
1 year 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
1 year ago
Yeah, those are the two data types that don't need preprocessing.
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Cruz
1 year ago
E) Numeric data such as customer age and income
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Wilbert
1 year ago
A) Text data such as Twitter messages
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Idella
1 year 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
1 year 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
1 year ago
I see your point, but I think B and E are safer choices.
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Glory
1 year ago
I'm leaning towards B and D. Symbolic data seems manageable.
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Jin
1 year ago
I agree, dates can be a hassle. Stick with B and E.
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Shawnna
1 year ago
I think B and E are the way to go. Dates can be tricky.
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Lang
1 year 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
1 year ago
I believe numeric data such as customer age and income can also be used directly without preprocessing.
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Marguerita
1 year ago
I agree with Malinda. Dates are straightforward to use as predictors without any preprocessing.
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Malinda
1 year ago
I think dates with absolute time/date values like birthdays require no preprocessing.
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