Online Access Free 1z0-1110-22 Practice Test

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 log or the op-tion to enable automatic log creation.
• B.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.
• 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.

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

You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?

• A.Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
• B.Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
• C.Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
• D.Adding a single label to an image.
• E.Adding multiple labels to an image.

You have an embarrassingly parallel or distributed batch job on a large amount of data running using Data Science Jobs What would be the best approach to run the workload?

• A.Create a new job for every job run that you have to run in parallel, because the Date Science Jobs service can have only one job run per job.
• B.Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload.
• C.Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required.
• D.Reconfigure the job run because Data science jobs does not support embarrassingly parallel.

As a data scientist, you are working on a global health data set that has data from more than 50 countries. You want to encode three features, such as 'countries', 'race', and 'body organ' as categories. Which option would you use to encode the categorical feature?

• A.auto_transform()
• B.show_in_notebook()
• C.DataFramLabelEncode()
• D.OneHotEncoder()