Pegasystems Exam PEGACPLSA88V1 Topic 1 Question 33 Discussion

Actual exam question for Pegasystems's PEGACPLSA88V1 exam

Question #: 33
Topic #: 1

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?

ACreate a separate data type by grouping similar types of vehicles based on the number of wheels. At runtime, parameterized data pages are used to identify the specific vehicle type.

BCreate a separate data type for each vehicle type, and then create a single vehicle page list in the quote case type. At runtime, dynamically identify the page class for each page in the vehicle page list.

CCreate a separate data type for each type of vehicle, and then create a separate page list in the quote case type. At runtime, a rule resolution algorithm will identify the specific vehicle type.

DCreate a single data type for all vehicle types and a single-page list in the quote case type. At runtime, circumstance will be used to identify the specific vehicle type.

Show Suggested Answer

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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Asha

2 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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Marlon

Yeah, dynamically identifying the page class definitely sounds like a superhero power for data models.

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Leila

4 days ago

I agree, Option B seems like the most efficient choice for this data model.

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Florinda

7 days ago

I wonder if the U+ Vehicle Insurance company would consider implementing something like that in the future.

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Goldie

29 days 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

30 days ago

I agree, having that flexibility in the data model is crucial.

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Stephaine

1 months ago

Option B sounds like the way to go. Dynamic identification is key!

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Audrie

1 months ago

Yeah, dynamically identifying the page class definitely sounds like a superhero power for data models.

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Shawnda

1 months ago

I agree, Option B seems like the most efficient choice for this scenario.

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Rosann

2 months ago

I think option D is the most straightforward approach.

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Gianna

2 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

2 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

2 months ago

I prefer option B because it allows for more flexibility.

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Hester

2 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

2 months ago

I disagree, I believe option C is more efficient.

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Joaquin

2 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

25 days ago

I prefer option D. Using circumstances to identify the specific vehicle type seems like a straightforward approach.

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Felicitas

26 days 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

1 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

1 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

2 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

2 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

2 months ago

I think option A is the best design.

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