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Oracle Cloud Infrastructure Data Science Professional Sample Questions:

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

A) 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
B) Create a job in Data Science Jobs and then start the number of simultaneous job runs required for your workload
C) Create a new job for every job run that you have to run in parallel, because the Data Science Job service can have only one job per job
D) Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel

2. 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) Redeploy the model
C) Operational monitoring
D) Drift monitoring
E) Retrain the model

3. Which Oracle Cloud Service provides restricted access to target resources?

A) Load Balancer
B) Internet Gateway
C) SSL Certificate
D) Bastion

4. Arrange the following in the correct Git Repository workflow order:
Install, configure, and authenticate Git.
Configure SSH keys for the Git repository.
Create a local and remote Git repository.
Commit files to the local Git repository.
Push the commit to the remote Git repository.

A) 2, 3, 1, 4, 5
B) 3, 5, 1, 2, 4
C) 4, 2, 3, 1, 5
D) 1, 2, 3, 4, 5

5. Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to datasets from reference libraries and index websites such as scikit-learn?

A) DatasetBrowser
B) DataLabeling
C) DatasetFactory
D) SecretKeeper

Solutions: