You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, such as the types of features, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?

• A.Show_in_notebook{}
• B.To_xgb{}
• C.Show_corr{}
• D.Compute{}

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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.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 compute shape, and capy your flies and data from your temporary bucket onto your new notebook session.
• 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.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.

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

• A.Validate the model using recent data
• B.Retrain the model
• C.Operational monitoring
• D.Redeploy the model
• E.Drift monitoring

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You are a data scientist designing an air traffic control model, and you choose to leverage Oracle AutoML You understand that the Oracle AutoML pipeline consists of multiple stages and automatically operates in a certain sequence. What is the correct sequence for the Oracle AutoML pipeline?

• A.Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning
• B.Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning
• C.Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning Want any exam dump in pdf email me at [email protected] (Little Paid)
• D.Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning

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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.On job creation, enable logging and select a log group. Then, select either a log or the option to enable automatic log creation.
• B.You can implement custom logging in your code by using the Data Science Jobs logging service.
• C.Make sure that your code is using the standard logging library and then store all the logs to Object Storage at the end of the job.
• D.Create your own log group and use a third-party logging service to capture job run details for log collection and storing.

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