Oracle Exam 1Z0-1110-23 Topic 5 Question 13 Discussion

Actual exam question for Oracle's 1Z0-1110-23 exam

Question #: 13
Topic #: 5

[All 1Z0-1110-23 Questions]

You are a data scientist working for a manufacturing company. You have developed a forecasting

model to predict the sales demand in the upcoming months. You created a model artifact that

contained custom logic requiring third party libraries. When you deployed the model, it failed to run

because you did not include all the third party dependencies in the model artifact. What file should

be modified to include the missing libraries?

Amodel_artifact_validate.py

Bscore.py

Crequirements.txt

Druntime.yaml

Show Suggested Answer

Suggested Answer: A, D

by Tonette at Feb 11, 2024, 04:19 AM

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Oneida

1 years ago

I agree, those are commonly used metrics for regression models. Explained Variance Score tells us how well the model is capturing the variance in the data.

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Shenika

1 years ago

I also believe Mean Absolute Error is important to consider, as it gives us an idea of how close the model's predictions are to the actual values.

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Madalyn

1 years ago

I think for evaluating the regression model, we can use the Explained Variance Score and Mean Absolute Error.

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Cordie

1 years ago

I think those two metrics are the ones we can use from the ADS Evaluator class.

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Shoshana

1 years ago

Yes, Explained Variance Score is also a good metric for evaluating regression models.

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Tomas

1 years ago

What about Explained Variance Score? Can we use that too?

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Cordie

1 years ago

I agree, Mean Absolute Error is a common metric for regression models.

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Shoshana

1 years ago

I think we can use Mean Absolute Error to evaluate the regression model.

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Tomas

1 years ago

I'm a bit nervous about this question on the exam.

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