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NEW QUESTION 32
When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py fie?

A. Configure the deployment infrastructure.B. Define the inference server dependencies.C. Execute the inference logic codeD. Define the compute scaling strategy.

Answer: A

 

NEW QUESTION 33
Which of the following TWO non-open source JupyterLab extensions has Oracle Cloud In-frastructure (OCI) Data Science developed and added to the notebook session experience?

A. Environment ExplorerB. TerminalC. Notebook ExamplesD. Command PaletteE. Table of Contents

Answer: A,C

 

NEW QUESTION 34
Six months ago, you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods customer churn would you employ to verify the accuracy of the model?

A. Retrain the modelB. Operational monitoringC. Drift monitoringD. Redeploy the modelE. Validate the model using recent data

Answer: A,E

 

NEW QUESTION 35
You are a data scientist working for a manufacturing company, you have developed a fore-casting 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.?

A. Requirement.txtB. Runtime.yamlC. Score.pyD. Model_artifact_validate.py

Answer: A

 

NEW QUESTION 36
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