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Pegasystems PEGACPLSA88V1 Exam - Topic 1 Question 33 Discussion

Actual exam question for Pegasystems's PEGACPLSA88V1 exam
Question #: 33
Topic #: 1
[All PEGACPLSA88V1 Questions]

An application for the U+ Vehicle Insurance company generates insurance quotes for vehicles specified by the customer. There can be various types of vehicles processed by the application, such as cars, motorcycles, trucks, and so on. The business specifications can also differ for each vehicle type in the quote process.

Which one of the following possibilities is the best data model design for the quote case type?

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Suggested Answer: B

For modeling different types of vehicles in an insurance quote application:

Separate Data Types:

Create a distinct data type for each vehicle type (e.g., Car, Motorcycle, Truck). This allows for specific properties and business logic for each vehicle type.

Single Vehicle Page List:

Maintain a single page list property in the quote case type to hold vehicle details.

At runtime, dynamically identify the page class for each entry in the list based on the type of vehicle being processed. This approach allows for flexibility and maintainability.


Pega Data Modeling Best Practices

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by Ethan at Mar 20, 2025, 01:20 PM

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Peggy
2 months ago
Are we sure option D can handle all the variations? Seems too simple.
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Sarina
2 months ago
Nah, I prefer option C. More organized!
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Lavonna
3 months ago
Wait, a single data type for all vehicles? That sounds risky!
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Julieta
3 months ago
Totally agree with B, it’s the most flexible approach.
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Paola
3 months ago
I think option B makes the most sense!
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Rene
3 months ago
I feel like option A could work since it groups vehicles by wheels, but I’m not convinced it’s the best design. I think we had a case study that favored more specific data types.
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Serina
4 months ago
I’m a bit confused about option D. Using a single data type for all vehicles seems too simplistic, but I recall that circumstances can help with differentiation.
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Craig
4 months ago
I think option B sounds familiar because it allows for dynamic identification of vehicle types, which we practiced in a similar question. But I wonder if it’s the most efficient approach.
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Claudio
4 months ago
I remember discussing the importance of having separate data types for different vehicle types in class. It seems like option C might be the best fit, but I'm not entirely sure.
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Joanne
4 months ago
I'm leaning towards option C. Separating the data types for each vehicle type and using a rule resolution algorithm feels like the most robust and maintainable solution. It might be a bit more complex to implement, but it should give the application the flexibility to handle the different business specifications for each vehicle type.
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Allene
4 months ago
Option B seems like a good compromise between complexity and flexibility. Creating a single vehicle page list and dynamically identifying the page class for each vehicle type could be a nice balance. I'm not sure if it's the "best" approach, but it seems like a solid solution that could handle the varying business requirements for each vehicle type.
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Francesco
5 months ago
I'm a bit confused by the different options. It's not entirely clear to me how the "parameterized data pages" or "dynamic page class identification" would work in practice. I think I need to re-read the question and options more carefully to make sure I understand the implications of each approach.
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Eladia
5 months ago
This seems like a tricky question. I'm not sure if I fully understand the different options, but I think option C might be the best approach. Creating separate data types for each vehicle type and using a rule resolution algorithm to identify the specific vehicle seems like it would give the most flexibility and control.
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Asha
11 months ago
I'd go with Option B. Dynamically identifying the page class is like a superhero power for data models. Now if only I could use that power to get a discount on my own car insurance...
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Raylene
9 months ago
Maybe one day we'll have superhero powers for real life situations like car insurance discounts.
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Maryann
9 months ago
If only we could use that power to get discounts on our own car insurance, that would be amazing!
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Marlon
9 months ago
Yeah, dynamically identifying the page class definitely sounds like a superhero power for data models.
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Leila
9 months ago
I agree, Option B seems like the most efficient choice for this data model.
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Florinda
9 months ago
I wonder if the U+ Vehicle Insurance company would consider implementing something like that in the future.
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Goldie
10 months ago
If only we could use that power to get discounts on our own car insurance, that would be amazing!
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Junita
10 months ago
I agree, having that flexibility in the data model is crucial.
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Stephaine
10 months ago
Option B sounds like the way to go. Dynamic identification is key!
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Audrie
10 months ago
Yeah, dynamically identifying the page class definitely sounds like a superhero power for data models.
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Shawnda
10 months ago
I agree, Option B seems like the most efficient choice for this scenario.
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Rosann
11 months ago
I think option D is the most straightforward approach.
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Gianna
11 months ago
Option A with the parameterized data pages sounds like a clever idea, but I can't help but imagine a developer accidentally creating a new vehicle type called 'Unicycles' just for fun.
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Roselle
11 months ago
Option C with the rule resolution algorithm sounds like a good way to encapsulate the vehicle type logic, but it might be overkill for this use case. Sometimes simple is better.
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Malcolm
11 months ago
I prefer option B because it allows for more flexibility.
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Hester
11 months ago
I'm not convinced that Option D is the best choice. Relying on circumstance to determine the vehicle type seems like it could lead to a lot of complex and error-prone logic at runtime.
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Walton
11 months ago
I disagree, I believe option C is more efficient.
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Joaquin
11 months ago
Option B seems like the most flexible and scalable approach. Dynamically identifying the page class for each vehicle type in the list is a smart way to handle the varying business specifications.
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Kallie
10 months ago
I prefer option D. Using circumstances to identify the specific vehicle type seems like a straightforward approach.
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Felicitas
10 months ago
I think option C could also work well. Having separate data types for each vehicle type might make it easier to manage.
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Stephane
10 months ago
I prefer option A. Grouping similar types of vehicles based on the number of wheels seems like a logical way to organize the data.
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Hermila
10 months ago
I think option C could also work well. Having separate data types for each vehicle type might make it easier to manage.
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Timmy
10 months ago
I agree, option B sounds like the best choice. It allows for flexibility in handling different vehicle types.
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Melissia
11 months ago
I agree, option B sounds like the best choice. It allows for flexibility in handling different vehicle types.
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Cassi
11 months ago
I think option A is the best design.
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