You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?

A. Model Depository

B. Model Catalog

C. OCI Vault

D. Data Science Artifactory

As you are working in your notebook session, you find that your notebook session does not have enough compute CPU and memory for your workload. How would you scale up your notebook session without losing your work?

A. Ensure your files and environments are written to the block volume storage under the /home/datascience directory, deactivate the notebook session, and activate the notebook larger compute shape selected.

B. Down your files and data to your local machine, delete your notebook session, provision tebook session on a larger compute shape, and upload your files from your local the new notebook session.

C. Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.

D. Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete tur ctebook session, provision a new notebook session on a larger com-pute shape, and capy your flies and data from your temporary bucket onto your new notebook session.

Where do calls to stdout and stderr from score.py go in a model deployment?

A. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.

B. The OCI Cloud Shell, which can be accessed from the console.

C. The file that was defined for them on the Virtual stachine (VM).

D. The OCI console.

The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora- cle_automl and now you want an output with all the different trials performed by Oracle Au- toML. Which of the following command gives you the results of all the trials?

A. Oracle.automl.visualize_algorith_selection_trails()

B. Oracle.automl.visualize_adaptive_sampling_trails()

C. Oracle.automl.print_trials()

D. Oracle.automl.visualize_tuning_trails()

You have a data set with fewer than 1000 observations, and you are using Oracle AutoML to build a classifier. While visualizing the results of each stage of the Oracle AutoML pipeline, you notice that no visualization has been generated for one of the stages. Which stage is not visualized?

A. Feature selection

B. Algorithm selection

C. Adaptive sampling

D. Hyperparameter tuning