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Pegasystems Exam PEGACPDS88V1 Topic 6 Question 35 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam
Question #: 35
Topic #: 6
[All PEGACPDS88V1 Questions]

A company wants to create a data set that includes mock-up customer add which method is available to populate these fields?

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Suggested Answer: C

The Monte Carlo method is a way to create a data set that includes mock-up customer data. You can use this method to generate random values for customer properties, such as age, gender, income, etc., based on predefined probabilities and distributions. Reference: https://academy.pega.com/module/demonstrating-adaptive-learning-archived/topic/creating-monte-carlo-data-set


Contribute your Thoughts:

Francisca
1 months ago
Hmm, I'm torn between A) Propensity and D) Import. Propensity modeling could be interesting, but importing the data is probably the most straightforward approach. Unless they're feeling adventurous and want to try out some 'Monte Carlo magic' instead.
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Cassie
1 months ago
D) Import all the way! Why reinvent the wheel when you can just bring in the data you need? Though I do hope they remember to sanitize it first. You never know what kind of weird stuff might be lurking in those customer records.
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Lelia
2 days ago
D) Importing data is convenient, but it's important to clean and sanitize it before using it.
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Lashanda
3 days ago
D) Import is definitely the way to go! It's efficient and saves time.
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Dallas
5 days ago
D) Import
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Loren
7 days ago
C) Monte Carlo
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Oren
25 days ago
B) Bayesian
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Cammy
1 months ago
A) Propensity
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Daniela
1 months ago
I'm going to have to go with B) Bayesian. It's a powerful technique that could help create a more accurate customer data set. Though I'm not sure it's the 'available' method they're looking for.
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Denny
1 months ago
C) Monte Carlo sounds fun, but I'm not sure it's the best approach for this scenario. Importing the data is probably the most practical solution.
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Gracie
1 months ago
I agree, Monte Carlo might be fun, but it's not the best choice for this situation.
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Eden
1 months ago
Importing the data is definitely the most practical option.
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Hyun
2 months ago
I'm not sure about the other options, but D) Import makes sense to me too. It's efficient and straightforward.
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Jenelle
2 months ago
I agree with Shalon, D) Import seems like the most practical method for creating a data set with mock-up customer data.
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Shalon
2 months ago
I think the answer is D) Import because it allows us to populate the fields with mock-up customer data easily.
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Janine
3 months ago
I think the correct answer is D) Import. Importing data from external sources seems like the most straightforward way to populate the mock-up customer data set.
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Darell
1 months ago
Propensity modeling with A) Propensity could help create a more accurate representation of customer behavior in the data set.
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Filiberto
1 months ago
I think C) Monte Carlo could also be a good option for generating random data to populate the fields.
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Wenona
2 months ago
I agree, D) Import seems like the most efficient method to populate the mock-up customer data set.
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