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1z0-1110-22 Exam Dumps - Oracle Cloud Infrastructure Data Science 2022 Professional

Question # 4

The feature type TechJob has the following registered validators: Tech-Job.validator.register(name=’is_tech_job’, handler=is_tech_job_default_handler) Tech-Job.validator.register(name=’is_tech_job’, handler= is_tech_job_open_handler, condi-tion=(‘job_family’,)) TechJob.validator.register(name=’is_tech_job’, handler= is_tech_job_closed_handler, condition=(‘job_family’: ‘IT’)) When you run is_tech_job(job_family=’Engineering’), what does the feature type validator system do?

A.

Execute the is_tech_job_default_handler sales handler.

B.

Throw an error because the system cannot determine which handler to run.

C.

Execute the is_tech_job_closed_handler handler.

D.

Execute the is_tech_job_open_handler handler.

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Question # 5

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?

A.

DOCX

B.

Pandas DataFram

C.

JSON

D.

Raw Images

E.

XML

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Question # 6

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?

A.

Model Depository

B.

Model Catalog

C.

OCI Vault

D.

Data Science Artifactory

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Question # 7

You want to write a Python script to create a collection of different projects for your data sci-ence team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?

A.

Programming Language Software Development Kit (SDK)

B.

Mobile App

C.

Command Line Interface (CLI)

D.

OCI Console

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Question # 8

You want to make your model more parsimonious to reduce the cost of collecting and processing data. You plan to do this by removing features that are highly correlated. You would like to create a heat map that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method would be appropriate to display the correlation between Continuous and Categorical features?

A.

Corr{}

B.

Correlation_ratio_plot{}

C.

Pearson_plot{}

D.

Cramersv_plot{}

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