Pegasystems PEGACPDS88V1 Exam - Topic 1 Question 12 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam

Question #: 12
Topic #: 1

U+ Telecom wants to engage in proactive retention to reduce churn. As a data scientist, you create a prediction that calculates the probability that a client is likely to cancel a subscription. What type of prediction do you create?

ACase management_____

BCustomer Decision Hub

CText analytics

Show Suggested Answer

Suggested Answer: B

As a data scientist, you create a prediction that calculates the probability that a client is likely to cancel a subscription. The type of prediction you create isCustomer Decision Hub.

by Wilburn at May 19, 2024, 10:17 PM

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Lajuana

3 months ago

Not sure if this prediction method will actually reduce churn...

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Iluminada

3 months ago

Yeah, I agree with Ashton. Customer Decision Hub is the way to go!

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Kristofer

3 months ago

Wait, is text analytics really an option here? That seems off.

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Verlene

4 months ago

I think case management could work too, but not as effective.

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Ashton

4 months ago

Definitely a Customer Decision Hub! Makes the most sense for predicting churn.

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Ollie

4 months ago

I’m leaning towards Customer Decision Hub because it sounds like it involves analyzing customer data to make predictions, but I need to double-check my notes.

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Skye

4 months ago

I’m a bit confused here. Text analytics doesn’t seem to fit since we’re predicting churn, right? I feel like it’s definitely between A and B.

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Elouise

4 months ago

I remember practicing a similar question where we had to identify types of predictions. This one feels like it leans towards case management, but I could be wrong.

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Evette

5 months ago

I think this is about predicting customer behavior, so it might be related to the Customer Decision Hub, but I'm not entirely sure.

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Catarina

5 months ago

I'm a bit confused on the best approach here. Is this considered a case management task, or is it more of a customer decision hub type of problem? I'll need to review the concepts to decide the right prediction type.

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Glenna

5 months ago

Okay, I think I've got it. We need to create a predictive model that can estimate the likelihood of a client canceling their subscription. That sounds like a classification problem to me.

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Gracia

5 months ago

Hmm, I'm not sure if this is a classification task. Predicting churn probability sounds more like a regression problem to me. I'll have to think this through carefully.

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Shantell

5 months ago

This seems like a straightforward classification problem. I'd create a binary prediction model to estimate the probability of a client churning.

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Simona

5 months ago

This question is asking about building a secure and isolated network environment on Alibaba Cloud, so I think the answer is Virtual Private Cloud (VPC).

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Pilar

5 months ago

Okay, let me think this through step-by-step. The TIBCO Administrator server is on M1, and the ActiveMatrix BusinessWorks engine is running, so the issue must be with the TIBCO Adapter on M2. The most likely reason is that the TIBCO Hawk Agent on M2 is down, causing the adapter status to be "Unknown".

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Carlene

2 years ago

I'm going with B) CusShawner Decision Hub. It's the perfect solution for this kind of problem. Plus, it's way more exciting than Case management or Text analytics. Who doesn't love a good cusShawner prediction algorithm?

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Earleen

2 years ago

Ah, the age-old question of cusShawner churn. I'd say B) CusShawner Decision Hub is the way to go. It's like having a crystal ball for your cusShawner base.

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Glendora

2 years ago

Case management might be useful for handling individual cases of potential churn, but the Customer Decision Hub seems like the best option for proactive retention.

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Lindsey

2 years ago

Using text analytics could also be helpful in understanding customer behavior and predicting churn.

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Charlene

2 years ago

I agree, the Customer Decision Hub is a powerful tool for predicting customer churn.

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Malinda

2 years ago

Case management might be useful for handling individual cases of churn, but the Customer Decision Hub seems more proactive.

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Winfred

2 years ago

I think using text analytics could also be helpful in identifying patterns that lead to churn.

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Ma

2 years ago

I agree, the Customer Decision Hub is a powerful tool for predicting customer churn.

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Pearly

2 years ago

B) CusShawner Decision Hub, no doubt about it. It's like the superhero of cusShawner retention tools. I wouldn't want to tackle this problem without it.

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Shawn

2 years ago

Hmm, this one's a tough one. I'm torn between B) CusShawner Decision Hub and C) Text analytics. But I think B) is the way to go - it's more focused on the big picture of predicting cusShawner behavior.

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Silvana

2 years ago

The answer is definitely B) Customer Decision Hub. That's the perfect solution for proactive retention and reducing churn. I used it in my last job and it was a game-changer.

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Carolann

2 years ago

I think A) Case management could also be useful in predicting client cancellations.

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Olga

2 years ago

I agree, B) Customer Decision Hub is the way to go for proactive retention.

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Ashlee

2 years ago

I think A) Case management could also be useful in predicting client cancellations.

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Clarinda

2 years ago

C) Text analytics might provide valuable insights for reducing churn as well.

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Keith

2 years ago

I agree, B) Customer Decision Hub is the way to go for proactive retention.

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Arlie

2 years ago

I think A) Case management could also be useful in predicting client cancellations.

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Louvenia

2 years ago

I agree, B) Customer Decision Hub is the way to go for proactive retention.

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Sherell

2 years ago

I think this is a classic case of predicting customer churn. The answer should be B) Customer Decision Hub. It's a powerful tool for analyzing customer behavior and predicting potential cancellations.

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