CertNexus AIP-210 Exam - Topic 3 Question 23 Discussion

Actual exam question for CertNexus's AIP-210 exam

Question #: 23
Topic #: 3

[All AIP-210 Questions]

Which two techniques are used to build personas in the ML development lifecycle? (Select two.)

APopulation estimates

BPopulation regression

CPopulation resampling

DPopulation triage

EPopulation variance

Show Suggested Answer

Suggested Answer: B

A support-vector machine (SVM) is a supervised learning algorithm that can be used for classification or regression problems. An SVM tries to find an optimal hyperplane that separates the data into different categories or classes. However, sometimes the data is not linearly separable, meaning there is no straight line or plane that can separate them. In such cases, a polynomial kernel can help improve the prediction of the SVM by transforming the data into a higher-dimensional space where it becomes linearly separable. A polynomial kernel is a function that computes the similarity between two data points using a polynomial function of their features.

by Aliza at Jul 10, 2024, 04:19 PM

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Truman

3 months ago

Population regression? Really? I’m not so sure about that.

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Shantay

3 months ago

I thought B was more relevant, but I guess not!

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Glendora

4 months ago

Wait, is D even a real technique? Sounds made up.

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Lorenza

4 months ago

Totally agree, A is definitely one of them!

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Felicitas

4 months ago

I think A and C are the right ones.

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Laticia

4 months ago

I don't recall population triage being a technique used for personas, but population variance sounds familiar.

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Gladys

5 months ago

I feel like population resampling could be relevant too, but I’m not completely confident about it.

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Tesha

5 months ago

I remember practicing a question similar to this, and I think population regression was mentioned as a technique.

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Marisha

5 months ago

I think population estimates is definitely one of the techniques, but I'm not sure about the second one.

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Felix

5 months ago

I'm a bit confused by this question. I know personas are important in user-centered design, but I'm not sure how they relate to the ML development lifecycle. I'll have to do some quick research on that before answering. Hopefully I can figure it out in time.

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Tegan

5 months ago

Okay, I've got this. Based on my understanding, the two techniques used to build personas are population estimates and population regression. The other options don't seem to be directly related to persona building. I'll select those two and move on.

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Cassandra

5 months ago

I'm not too sure about this one. The question is asking about techniques for building personas in the ML development lifecycle, but I'm not familiar with those concepts. I'll have to think this through carefully.

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Yuette

5 months ago

Hmm, this is a tricky one. I think the key is to focus on the techniques mentioned in the answer choices. Population estimates and population regression sound like they could be relevant, but I'm not totally confident. I'll have to weigh the options carefully.

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Regenia

5 months ago

Hmm, this is a tricky one. I'm not super familiar with the different cluster configurations, so I'll have to think about this carefully. Maybe I can eliminate some of the options and narrow it down.

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Freeman

5 months ago

I'm a bit confused by the options. I'll need to re-read the question and think about the key purpose of a business architecture methodology.

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Goldie

5 months ago

Hmm, this seems straightforward. I think I'll go with option C - configuring the global app permission policy to only allow the specified apps.

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Iluminada

5 months ago

This looks like a pretty straightforward question on threat intelligence types. I think I've got a good handle on the differences between strategic, tactical, operational, and technical threat intel, so I should be able to work through this.

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Reena

10 months ago

Personas? More like 'Per-Sonny' if you ask me. I bet the examiners are just trying to 'per-suade' us with these options!

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Meaghan

9 months ago

C) Population resampling

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Rikki

9 months ago

A) Population estimates

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My

10 months ago

Aha, I bet it's population estimates and population regression. Personas are the real stars of the show, they deserve a red carpet treatment!

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Carma

9 months ago

Personas are definitely important in understanding user behavior and needs, population estimates and population regression are essential for their development.

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Aracelis

9 months ago

Absolutely, those two techniques help create accurate and detailed personas for the ML development lifecycle.

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Valentin

10 months ago

I think you're right, population estimates and population regression are key techniques for building personas.

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Frederick

10 months ago

Hold up, I'm thinking population triage and population resampling. The persona-building process is like a secret society, you gotta crack the code!

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Brendan

10 months ago

I'm pretty sure it's population regression and population variance. Personas are the real MVPs of the ML lifecycle, you know?

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Cyndy

9 months ago

Agreed, personas help us understand our target audience better.

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Erasmo

9 months ago

Yes, population regression and population variance are definitely key techniques.

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Harris

9 months ago

I think you're right, personas are crucial in ML development.

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Alaine

10 months ago

Hmm, population estimates and population resampling, that's my guess. Gotta love those personas, they're like the superheroes of the ML world!

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Laila

9 months ago

Definitely, personas are essential for creating personalized experiences and improving model performance.

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Timothy

9 months ago

I agree, they're like the guiding light that helps us make informed decisions throughout the lifecycle.

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Monte

10 months ago

Yeah, personas really help us understand our target audience better in the ML development process.

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Kristel

10 months ago

I think you're right, population estimates and population resampling are key techniques for building personas.

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Kanisha

11 months ago

I'm not sure about population resampling. I think D) Population triage could also be used to build personas by prioritizing certain groups.

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Sylvie

11 months ago

I agree with Jill. Population estimates help in understanding the demographics and characteristics, while population resampling helps in creating representative samples.

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Jill

11 months ago

I think A) Population estimates and C) Population resampling are used to build personas in ML.

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