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Oracle Cloud Infrastructure Data Science 2023 Professional Questions and Answers

Question 1

You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?

Options:

A.

Package your personal OC file and keys in the job artifact.

B.

Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.

C.

Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal

D.

Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.

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Question 2

You have created a conda environment in your notebook session. This is the first time you are

working with published conda environments. You have also created an Object Storage bucket with

permission to manage the bucket.

Which two commands are required to publish the conda environment?

Options:

A.

odac conda publish --slug

B.

odsc conda list --override

C.

odsc conda init --bucket_namespace <nameSPACE> --bucket_name

D.

odsc conda create --file manifest.yaml

E.

conda activate /home/datascience/conda/

Question 3

The Accelerated Data Science (ADS) model evaluation classes support different types of machine

learning modeling techniques. Which three types of modeling techniques are supported by ADS

Evaluators?

Options:

A.

Principal Component Analysis

B.

Multiclass Classification

C.

K-means Clustering

D.

Recurrent Neural Network

E.

Binary Classification

F.

Regression Analysis