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Question 1

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?

APrincipal Component Analysis

BMulticlass Classification

CK-means Clustering

DRecurrent Neural Network

EBinary Classification

FRegression Analysis

Correct answer: B, E, F

Question 2

You are a data scientist working for a manufacturing company. You have developed a forecasting

model to predict the sales demand in the upcoming months. You created a model artifact that

contained custom logic requiring third party libraries. When you deployed the model, it failed to run

because you did not include all the third party dependencies in the model artifact. What file should

be modified to include the missing libraries?

Amodel_artifact_validate.py

Bscore.py

Crequirements.txt

Druntime.yaml

Correct answer: C

Question 3

You are a data scientist trying to load data into your notebook session. You understand that Accelerated Data Science (ADS) SDK supports loading various data formats. Which of the following THREE are ADS supported data formats?

ADOCX

BPandas DataFram

CJSON

DRaw Images

EXML

Correct answer: B, C, E

Question 4

Where do calls to stdout and stderr from score.py go in a model deployment?

AThe predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.

BThe OCI Cloud Shell, which can be accessed from the console.

CThe file that was defined for them on the Virtual stachine (VM).

DThe OCI console.

Correct answer: A

Question 5

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?

AEnsure 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.

BDown 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.

CDeactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.

DCreate 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.

Correct answer: A

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