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Pegasystems Exam PEGACPDS88V1 Topic 4 Question 27 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam

Question #: 27
Topic #: 4

[All PEGACPDS88V1 Questions]

As a data scientist, you are asked to create a prediction to optimize the click-through rate of a web banner. What type of prediction do you need to create in Prediction studio?

AAdaptive prediction

BCase management

CCustomer Decision Hub

DText analysis

Show Suggested Answer

Suggested Answer: C

Customer Decision Hub Reference:

To optimize the click-through rate of a web banner, you need to create aCustomer Decision Hubprediction.

by Maryann at Nov 16, 2024, 06:46 PM

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Chan

2 months ago

B) Case management? I'm no data scientist, but that sounds more like a call center solution than a click-through predictor. Gotta keep it focused, folks.

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Caitlin

2 months ago

D) Text analysis? Really? This is about predicting click-through, not analyzing text. Guess some people just like to spice things up, huh?

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Andra

2 months ago

C) Customer Decision Hub

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Quentin

2 months ago

A) Adaptive prediction

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Lyda

2 months ago

Hmm, I'd go with A) Adaptive prediction. Seems like the best fit for optimizing click-through rates.

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Gretchen

1 months ago

B) Case management doesn't seem like the right choice for predicting web banner click-through rates.

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Zana

2 months ago

I'm not sure, but D) Text analysis might also play a role in optimizing click-through rates.

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Starr

2 months ago

I think C) Customer Decision Hub could also be useful in creating predictions for web banners.

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Marsha

2 months ago

I agree, A) Adaptive prediction is the way to go for optimizing click-through rates.

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Vivan

3 months ago

I'm not sure, but I think Customer Decision Hub could also be a good option for creating the prediction.

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Dianne

3 months ago

I agree with Stanton. Adaptive prediction would be the best choice to optimize the click-through rate.

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Stanton

3 months ago

I think we need to create an Adaptive prediction.

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