Oracle Exam 1Z0-1096-23 Topic 9 Question 33 Discussion

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

Question #: 33
Topic #: 9

When managing Machine Learning models using the OML AutoML UI, what are the three actions that can be performed on Oracle Machine Learning (OML) models from within OML AutoML UI? (Choose three.)

ACreate a notebook with auto-generated OML4Py code from an OML in-database mod-el to allow for further model tweaking and batch scoring.

BDeploy an OML in-database model to a REST endpoint.

CReview the model statistics associated with the experiment of an ONNX-format (Open Neural Networks Exchange) model.

DReview the model statistics associated with the experiment of an OML in-database model.

EReview the model statistics associated with the experiment of an ONNX-format image classification model.

Show Suggested Answer

Suggested Answer: A, B, D

When managing machine learning models using the OML AutoML UI, three actions that can be performed on Oracle Machine Learning (OML) models from within OML AutoML UI are:

Create a notebook with auto-generated OML4Py code from an OML in-database model to allow for further model tweaking and batch scoring.This feature enables users to export the selected model as a notebook that contains the OML4Py code to reproduce the model building process and perform additional tasks such as model evaluation, scoring, or deployment1.

Deploy an OML in-database model to a REST endpoint.This feature enables users to deploy the selected model as a RESTful web service that can be accessed by external applications or tools for real-time scoring or predictions2.

Review the model statistics associated with the experiment of an OML in-database model.This feature enables users to view the details of the model such as the algorithm name, hyperparameters, performance metrics, feature importance, and confusion matrix3.

by Harrison at Sep 18, 2024, 05:51 PM

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Leota

2 months ago

Wait, we can review ONNX image classification models too? I thought we were just dealing with regular OML models. This exam is really testing the breadth of our machine learning knowledge. *chuckles* Better start brushing up on my ONNX trivia.

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Erinn

2 months ago

Ah, good old OML in-database models. I can definitely review the stats for those. Wait, do I need to know the difference between 'in-database' and 'out-of-database' models for this exam? *sweats profusely*

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Ena

2 months ago

Reviewing model statistics for ONNX-format models? Sounds like we're getting fancy with our machine learning here. I hope the exam doesn't expect me to be an ONNX expert.

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