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Microsoft DP-100 Exam - 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?

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Suggested Answer: C

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

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James
3 months ago
D could work too, but I lean towards C.
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Andra
3 months ago
Isn't it surprising that distance travelled could be so important?
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Queen
3 months ago
Wait, why would we use centroid distance? Seems off.
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Elinore
4 months ago
Totally agree, C makes the most sense!
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Kiera
4 months ago
I think option C is the best choice for this.
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Levi
4 months ago
I’m leaning towards option D, but I’m a bit uncertain about how centroid distance impacts the model.
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Cristy
4 months ago
I feel like the Relative Expression Split module was mentioned in a similar question, but I can't remember the details.
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Amina
4 months ago
I remember practicing with the Split Rows module, but I can't recall if it was specifically for centroid distance or something else.
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Cecilia
5 months ago
I think we discussed something about using distance metrics in our last class, but I’m not sure which one applies here.
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Margo
5 months ago
Hmm, I'm not sure. I'd want to think through the business problem and the data we have access to before deciding on the best approach. The wording of the question leaves some room for interpretation, so I'd want to clarify that first.
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Ruthann
5 months ago
I'm feeling pretty confident about this one. I think the Relative Expression Split module would be the best choice here, as it allows us to partition the data based on the centroid distance, which seems most relevant to determining a user's ad response tendency.
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Charlene
5 months ago
I'm a bit confused by the wording of the question. Does "user's tendency to respond to an ad" mean we're trying to predict whether a user will respond to an ad? If so, that might point us towards using a different modeling technique altogether.
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Lilli
5 months ago
Okay, let's see. I think the key is determining whether we want to partition the data based on centroid distance or distance travelled to the event. That should help us narrow down the options.
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Reena
5 months ago
Hmm, this looks like a tricky one. I'll need to think carefully about the differences between the Relative Expression Split and Split Rows modules and how they could be applied here.
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Pearly
5 months ago
This is a tricky one. The CEO's focus on shorter planning cycles and more experimentation could fit with a few of the roles, like "Driver of information-based business models" or "Innovation promoter." I'll need to really think through the nuances of each option to make the best choice.
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Florinda
5 months ago
Okay, I think I know the answer. Let me double-check the options.
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Holley
5 months ago
I'm leaning towards implementation as the most important phase for privacy by design. That's when you actually build in the privacy-preserving mechanisms.
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Kina
9 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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Chery
8 months ago
D) Use a Split Rows module to partition the data based on centroid distance.
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Martina
8 months ago
C) Use a Split Rows module to partition the data based on distance travelled to the event.
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Kasandra
9 months ago
B) Use a Relative Expression Split module to partition the data based on distance travelled to the event.
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Gail
9 months ago
A) Use a Relative Expression Split module to partition the data based on centroid distance.
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Carman
10 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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Emerson
8 months ago
I also considered option B at first, but D seems like the better choice for sure.
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Darci
8 months ago
Yeah, I think D makes more sense in this case. Let's go with centroid distance.
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Virgie
8 months ago
I agree, option B does seem like a trap. I think D is the way to go.
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Filiberto
10 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
9 months 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
9 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
9 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
10 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
8 months ago
User 4: True, but D might also provide valuable information. It's a tough choice.
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Lynelle
9 months ago
User 3: A sounds more specific though, focusing on centroid distance could give us better insights.
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Selma
9 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
10 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
10 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
10 months ago
I agree with Edmond. Using centroid distance can help us better understand user behavior.
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Edmond
10 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
10 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
10 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
10 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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Dorian
9 months ago
User 2: Yeah, splitting the data based on centroid distance would give us a clear insight into user response tendencies.
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Trevor
10 months ago
User 1: I agree, option D seems like the best choice for this scenario.
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Arlette
10 months ago
User 2: Yeah, splitting the data based on centroid distance would give us a good insight into user response tendencies.
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Rebbeca
10 months ago
User 1: I agree, option D seems like the best choice for this model development strategy.
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Trina
11 months ago
I think we should use option A, because centroid distance is a common technique for clustering data.
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