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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?

Show Suggested Answer Hide Answer
Suggested Answer: C

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


Contribute your Thoughts:

Blondell
5 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
5 months ago
True, but I think the most suitable option would be Dimensionality Reduction to handle noise effectively.
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Shalon
5 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
6 months 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
6 months ago
Some candidates feel like the answer could be Dimensionality Reduction because it helps in simplifying the data.
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Tamra
6 months 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
6 months ago
What do you think about the question on dealing with noise in incoming data?
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Vivienne
7 months 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
7 months ago
I agree with Mireya. Dimensionality Reduction helps in reducing noise in data.
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Mireya
7 months ago
I think the answer is C) Dimensionality Reduction.
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