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1z0-1110-23 Exam Dumps - Oracle Cloud Infrastructure Data Science 2023 Professional

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Question # 17

Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?

A.

Document classification

B.

Image classification

C.

Text recognition

D.

Key Value extraction

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Question # 18

You have just received a new data set from a colleague. You want to quickly find out summary

information about the data set, such as the types of features, the total number of observations, and

distributions of the data. Which Accelerated Data Science (ADS) SDK method from the ADSDataset

class would you use?

A.

show_corr()

B.

to_xgb ()

C.

compute ()

D.

show_in_notebook ()

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Question # 19

You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE an-notation classes are supported by the tool.?

A.

Object Detection

B.

Named Entity Extraction

C.

Classification (single/multi label)

D.

Key-Point and Landmark

E.

Polygonal Segmentation

F.

Semantic Segmentation

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Question # 20

You have an embarrassingly parallel or distributed batch job on a large amount of data that you

consider running using Data Science Jobs. What would be the best approach to run the workload?

A.

Create the job in Data Science Jobs and start a job run. When it is done, start a new job run

until you achieve the number of runs required.

B.

Create the job in Data Science Jobs and then start the number of simultaneous jobs runs

required for your workload.

C.

Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel

workloads.

D.

Create a new job for every job run that you have to run in parallel, because the Data Science

Jobs service can have only one job run per job.

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Question # 21

Using Oracle AutoML, you are tuning hyperparameters on a supported model class and have

specified a time budget. AutoML terminates computation once the time budget is exhausted. What

would you expect AutoML to return in case the time budget is exhausted before hyperparameter

tuning is completed?

A.

The current best-known hyperparameter configuration is returned.

B.

A random hyperparameter configuration is returned.

C.

A hyperparameter configuration with a minimum learning rate is returned.

D.

The last generated hyperparameter configuration is returned

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Question # 22

You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?

A.

Model type selection

B.

Model validation

C.

Data access

D.

Feature engineering

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Question # 23

You train a model to predict housing prices for your city. Which two metrics from the

Accelerated Data Science (ADS) ADSEvaluator class can you use to evaluate the regression model?

A.

Explained Variance Score

B.

F-1 Score

C.

Weighted Precision

D.

Weighted Recall

E.

Mean Absolute Error

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Question # 24

3. 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 file?

A.

Configure the deployment infrastructure.

B.

Execute the inference logic code.

C.

Define the compute scaling strategy.

D.

Define the inference server dependencies

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