Oracle Exam 1Z0-1096-23 Topic 3 Question 16 Discussion

Actual exam question for Oracle's 1Z0-1096-23 exam

Question #: 16
Topic #: 3

[All 1Z0-1096-23 Questions]

Which type of machine learning algorithm is used to deal with noise in incoming data?

AClassification

BRegression

CDimensionality Reduction

DClustering

Show Suggested Answer

Suggested Answer: C

https://blogs.oracle.com/machinelearning/post/using-svd-for-dimensionality-reduction

by Geoffrey at Mar 21, 2024, 08:09 AM

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Blondell

12 months ago

I see where you're coming from, but we should also consider the context of the data and what the noise actually represents.

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Richelle

12 months ago

True, but I think the most suitable option would be Dimensionality Reduction to handle noise effectively.

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Shalon

12 months ago

Regression could also be a possibility, right? Since it predicts a continuous value rather than just grouping data.

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Karol

1 years ago

I agree with that, but I think Clustering could also be a potential answer as it groups similar data points together.

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Daren

1 years ago

Some candidates feel like the answer could be Dimensionality Reduction because it helps in simplifying the data.

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Tamra

1 years ago

Regression can also be used to predict noisy data patterns, so I think it could be a valid answer too.

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Johana

1 years ago

What do you think about the question on dealing with noise in incoming data?

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Vivienne

1 years ago

I believe D) Clustering can also help in dealing with noise in data by grouping similar data points together.

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Ronny

1 years ago

I agree with Mireya. Dimensionality Reduction helps in reducing noise in data.

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Mireya

1 years ago

I think the answer is C) Dimensionality Reduction.

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