Free Access Oracle.1z0-1110-22.v2023-10-07.q19 Practice Test (Page 5)

Question 16

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 Explorer

B.Terminal

C.Table of Contents

D.Command Palette

E.Notebook Examples

Question 17

You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?

A.Make sure that your code is using the standard logging library and then store all the logs to Check Storage at the end of the job.

B.On job creation, enable logging and select a log group. Then, select either log or the op-tion to enable automatic log creation.

C.You can implement custom logging in your code by using the Data Science Jobs logging.

D.Data Science Jots does not support automatic fog collection and storing.

Question 18

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.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.

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

C.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.

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.

Question 19

Using Oracle AutoML, you are tuning hyperparameters on a supported model class and have specified a time budget. AutoML terminates computation once the time budget is exhausted. What would you expect AutoML to return in case the time budget is exhausted before hy-perparameter tuning is completed?

A.A hyperparameter configuration with a minimum learning rate is returned.

B.The current best-known hyperparameter configuration is returned.

C.The last generated hyperparameter configuration is returned.

D.A random hyperparameter configuration is returned.

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Question 16

Question 17

Question 18

Question 19

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