Microsoft Exam DP-100 Topic 5 Question 94 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 94
Topic #: 5

[All DP-100 Questions]

You need to implement a model development strategy to determine a user's tendency to respond to an ad.

Which technique should you use?

AUse a Relative Expression Split module to partition the data based on centroid distance.

BUse a Relative Expression Split module to partition the data based on distance travelled to the event.

CUse a Split Rows module to partition the data based on distance travelled to the event.

DUse a Split Rows module to partition the data based on centroid distance.

Show Suggested Answer

Suggested Answer: C

by Rozella at Dec 22, 2023, 10:29 AM

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Kina

1 months ago

Wait, are we supposed to use the Relative Expression Split module or the Split Rows module? I'm so confused, I might just have to call the professor and ask them to come take the exam for me.

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Kasandra

18 days ago

B) Use a Relative Expression Split module to partition the data based on distance travelled to the event.

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Gail

20 days ago

A) Use a Relative Expression Split module to partition the data based on centroid distance.

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Carman

1 months ago

You know, I was thinking about going with option B, but then I realized that's probably just a trap answer to see if I'm paying attention. I'm going with D, the centroid distance approach.

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Filiberto

2 months ago

Option C, all the way! Split Rows module to partition based on distance travelled to the event? Sounds like a sure-fire way to get the job done. I'm feeling lucky with this one.

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Stephanie

20 days ago

I agree with you, Option C seems like a practical approach. Let's go with Split Rows module for partitioning based on distance travelled to the event.

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Francisca

1 months ago

I think Option A might be a better choice. Using a Relative Expression Split module to partition the data based on centroid distance seems more accurate.

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Leonida

1 months ago

Option C, all the way! Split Rows module to partition based on distance travelled to the event? Sounds like a sure-fire way to get the job done. I'm feeling lucky with this one.

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Julene

2 months ago

I'm torn between A and D. Both seem to use the Relative Expression Split module, which sounds promising. Maybe I'll flip a coin and go with whichever one lands face-up.

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Jani

4 days ago

User 4: True, but D might also provide valuable information. It's a tough choice.

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Lynelle

12 days ago

User 3: A sounds more specific though, focusing on centroid distance could give us better insights.

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Selma

1 months ago

User 2: I see your point, but D also partitions the data based on centroid distance. Maybe flip that coin after all.

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Pete

1 months ago

User 1: I think A is the way to go. It partitions the data based on centroid distance.

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Leota

2 months ago

I'm not sure. Maybe we should consider option C) Use a Split Rows module to partition the data based on distance travelled to the event as well.

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Laurel

2 months ago

I agree with Edmond. Using centroid distance can help us better understand user behavior.

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Edmond

2 months ago

I think we should use option A) Use a Relative Expression Split module to partition the data based on centroid distance.

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Dulce

2 months ago

I see both points, but I think option D might be more suitable for this specific scenario as it directly relates to the user's tendency to respond to an ad.

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Rasheeda

2 months ago

I disagree, I believe option D is better as it partitions the data based on centroid distance which is more relevant to the task.

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Edwin

2 months ago

Hmm, I think option D is the way to go. Splitting the data based on centroid distance sounds like the most relevant approach for determining user response tendencies.

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