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Oracle Cloud Infrastructure Data Science 2022 Professional Questions and Answers

Question 1

When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py fie?

Options:

A.

Define the compute scaling strategy.

B.

Configure the deployment infrastructure.

C.

Define the inference server dependencies.

D.

Execute the inference logic code

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Question 2

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?

Options:

A.

Model Depository

B.

Model Catalog

C.

OCI Vault

D.

Data Science Artifactory

Question 3

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?

Options:

A.

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

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.

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.