Databricks Machine Learning Associate Exam - Topic 3 Question 9 Discussion

Actual exam question for Databricks's Databricks Machine Learning Associate exam

Question #: 9
Topic #: 3

[All Databricks Machine Learning Associate Questions]

Which of the following machine learning algorithms typically uses bagging?

AIGradient boosted trees

BK-means

CRandom forest

DDecision tree

Show Suggested Answer

Suggested Answer: C

Random Forest is a machine learning algorithm that typically uses bagging (Bootstrap Aggregating). Bagging is a technique that involves training multiple base models (such as decision trees) on different subsets of the data and then combining their predictions to improve overall model performance. Each subset is created by randomly sampling with replacement from the original dataset. The Random Forest algorithm builds multiple decision trees and merges them to get a more accurate and stable prediction.

Databricks documentation on Random Forest: Random Forest in Spark ML

by Christene at Jul 04, 2024, 04:16 PM

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Thurman

3 months ago

Nope, K-means is clustering, not bagging.

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Leslee

3 months ago

Wait, K-means doesn't use bagging? That's surprising!

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Lashon

3 months ago

I thought decision trees could use bagging too?

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Tequila

4 months ago

Definitely C, it's a classic.

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Long

4 months ago

Random forest uses bagging!

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Rickie

4 months ago

I feel like gradient boosted trees are more about boosting than bagging, so I would lean towards random forests here.

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Willie

4 months ago

K-means doesn't sound right for bagging, but I can't recall if decision trees do.

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Valene

4 months ago

I remember practicing with random forests, and I think they definitely use bagging.

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Sherita

5 months ago

I think bagging is mostly associated with ensemble methods, but I'm not completely sure which ones specifically use it.

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Man

5 months ago

I remember learning that bagging is commonly used with decision trees, so I'll go with option D.

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Sherell

5 months ago

I know bagging is a technique that combines multiple models, so I'm thinking it's most likely used with random forest or gradient boosted trees. I'll go with C.

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Maurine

5 months ago

Hmm, I'm a bit confused on the difference between bagging and boosting. I'll have to think this through carefully.

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Magdalene

5 months ago

I'm pretty sure random forest uses bagging, so I'll go with option C.

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Louvenia

5 months ago

Okay, let's break this down step-by-step. The key is ensuring the traffic is encrypted end-to-end, so we'll need to configure both CloudFront and the backend to use HTTPS.

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Essie

5 months ago

I think "client" and "standalone" might be the right choices since we talked a lot about server types in class.

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Sherman

5 months ago

This looks like a straightforward question about interpreting a utilization chart. I'll carefully review the chart options and choose the one that best matches the description.

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Yong

5 months ago

Collaborating with the sales team could also be a key step. They often have insights on why specific solutions were picked.

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Nan

5 months ago

Okay, I think the key here is to take ownership of the issue and work collaboratively with the customer. Engaging the service delivery manager and offering free consultation seems like a good way to demonstrate our commitment to resolving the problem.

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