Oracle Machine Learning Using Autonomous Database 2024 Associate Quiz 04 15Nov24 - Practice Quiz

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Question 1 of 30

In a scenario where a data scientist is tasked with improving the performance of a machine learning model deployed in an Oracle Autonomous Database, which approach should they prioritize to achieve optimal results while considering both accuracy and computational efficiency?

Conduct a thorough hyperparameter tuning process to find the optimal settings for the model while leveraging the database's parallel processing capabilities.

Increase the complexity of the model by adding more features without adjusting the existing hyperparameters to enhance predictive power.

Simplify the model by reducing the number of features and parameters, assuming this will automatically lead to better performance.

Focus solely on increasing the training dataset size, believing that more data will inherently improve model accuracy without further adjustments.

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