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Pegasystems PEGACPSA23V1 Exam - Topic 3 Question 29 Discussion

Actual exam question for Pegasystems's PEGACPSA23V1 exam
Question #: 29
Topic #: 3
[All PEGACPSA23V1 Questions]

A moving company provides customers with a tool that recommends a moving vehicle based on the number of bedrooms in their current living space and whether they are planning to move heavy furniture like bed frames, mattresses, or couches. Based on the customer inputs, a decision table presents the customer with a recommendation.

Which two configurations do you use together to build the decision table? (Choose Two)

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Suggested Answer: A

To construct a decision table for recommending a moving vehicle based on the number of bedrooms in the customer's current living space and whether heavy furniture is being moved, the decision table needs to account for these input parameters and provide a corresponding recommendation.

A . Create a column for the recommended moving vehicle: This column will hold the output of the decision table, which is the type of moving vehicle recommended based on the input criteria. This setup allows for a clear and direct presentation of the recommendation to the customer.

D . Create two columns, one for the number of bedrooms and one for whether the customer is moving heavy furniture: These columns will serve as the input conditions for the decision table. By evaluating the values in these columns, the decision table can determine the appropriate moving vehicle recommendation for each unique set of circumstances.

Creating rows for the recommended moving vehicle (B) would not follow the conventional structure of a decision table, where rows typically represent different rule conditions or scenarios rather than outcomes. Creating two rows, one for each input condition (C), misunderstands the structure of decision tables, where conditions are represented as columns and individual scenarios or rule conditions are represented as rows.


Contribute your Thoughts:

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Abraham
2 months ago
Two columns for inputs is the way to go!
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Rory
2 months ago
I think rows for the vehicle make more sense.
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Lindsey
2 months ago
Definitely need a column for the recommended vehicle!
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Vanna
3 months ago
Totally agree with the column setup!
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Lettie
3 months ago
Wait, can you really decide just based on bedrooms and heavy stuff?
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Rutha
3 months ago
I’m pretty sure we need to create rows for the inputs, but I’m confused about the vehicle recommendation part. Should that be a column or a row?
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Blossom
3 months ago
I'm leaning towards creating two columns for the inputs, but I feel like I might be mixing it up with another question where we used rows instead.
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Hyun
4 months ago
I remember practicing a similar question, and I think we definitely need a column for the recommended vehicle. But I can't recall if we should have rows or columns for the inputs.
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Odette
4 months ago
I think we need to create columns for the inputs, like the number of bedrooms and the heavy furniture, right? But I'm not entirely sure if it's rows or columns for the recommendations.
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Annice
4 months ago
I think I've got the right approach here. The key is to create two rows, one for the number of bedrooms and one for whether the customer is moving heavy furniture. Then the recommended moving vehicle can be in the columns. Feels like the right way to set up the decision table.
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Elly
4 months ago
This is a tricky one. I'm not totally sure if I should be creating rows or columns for the different inputs. I'll have to read through the question a few times to make sure I understand it properly before answering.
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Taryn
4 months ago
Okay, I've got this. The question is asking which two configurations we use together to build the decision table. So it's the number of bedrooms and whether heavy furniture is being moved. I'll make sure to select those two options.
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Edna
5 months ago
Hmm, I'm a bit unsure about this one. Do I need to create rows for the number of bedrooms and columns for the heavy furniture, or the other way around? I'll have to think it through carefully.
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Daryl
5 months ago
This seems like a straightforward decision table question. I'll focus on the key inputs - number of bedrooms and whether heavy furniture is being moved. Then I'll match those to the recommended moving vehicle.
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Noe
7 months ago
I think we need both rows and columns. Rows for the bedrooms and heavy furniture, and columns for the recommended moving vehicle.
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Belen
7 months ago
Haha, imagine if the moving company just asked the customer, 'How many bedrooms do you have, and are you moving heavy stuff?' and then just pointed to a random truck. That would be a terrible decision table!
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Paris
7 months ago
B) Create rows for the recommended moving vehicle.
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Esteban
7 months ago
A) Create two columns, one for the number of bedrooms and one for whether the customer is moving heavy furniture.
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Dahlia
7 months ago
I agree with Olive. The decision table should have two columns, one for the number of bedrooms and one for the heavy furniture. That's the way to go.
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Luisa
7 months ago
D) Create two columns, one for the number of bedrooms and one for whether the customer is moving heavy furniture.
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Adelaide
7 months ago
A) Create a column for the recommended moving vehicle.
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Armando
8 months ago
I'm not sure about creating rows. I think we should create a column for the recommended moving vehicle.
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Jesus
8 months ago
I agree with Deandrea. We should also create two columns for the number of bedrooms and heavy furniture.
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Deandrea
8 months ago
I think we need to create two rows for the recommended moving vehicle.
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Olive
8 months ago
Option D seems logical. You need to have separate columns for the number of bedrooms and whether the customer is moving heavy furniture to build the decision table.
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Graciela
7 months ago
It's important to have clear categories for the data to ensure the decision table is accurate and helpful.
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Brandee
7 months ago
I agree, having two columns will make it easier to organize the information and make a recommendation.
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Chu
7 months ago
Option D is definitely the way to go. Separate columns for bedrooms and heavy furniture make sense.
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