Question 1

You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?

Options :

A : Table extraction

B : Punctuation correction

C : Sentence diagramming

D : Topic classification

E : Sentiment analysis

Answer: D,E

Question 2

Which TWO statements about Oracle Cloud Infrastructure (OCI) Open Data service are true?

Options :

A : Open Data includes text and image data repositories for AI and ML.

B : Audio and video formats are not available.

C : Each dataset in Open Data consists of code and tooling usage examples for consumption and reproducibility.

D : Open Data is a dataset repository made for the people that create, use, and manipulate datasets.

E : A primary goal of Open Data is for users to contribute to the data repositories to expand the content offered.

F : Subscribers can pay and log into Open Data to view curated datasets that are otherwise not available to the public.

Answer: A,D

Question 3

What do you use the score.py file for?

Options :

A : Configure the deployment infrastructure

B : Execute the inference logic code

C : Define the required conda environment

D : Define the scaling strategy

Answer: B

Question 4

Which of the following programming languages are most widely used by data scientists?

Options :

A : C and C++

B : Python, R, and SQL

C : Java and JavaScript

Answer: B

Question 5

You have created a model and want to use Accelerated Data Science (ADS) SDK to deploy the model. Where are the artifacts to deploy this model with ADS?

Options :

A : OCI Vault

B : Model Depository

C : Model Catalog

D : Data Science Artifactory

Answer: C