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

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Question # 9

As a data scientist, you are working on a global health data set that has data from more than 50 countries. You want to encode three features, such as 'countries', 'race', and 'body organ' as categories. Which option would you use to encode the categorical feature?

A.

DataFramLabelEncode()

B.

auto_transform()

C.

OneHotEncoder()

D.

show_in_notebook()

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Question # 10

You have received machine learning model training code, without clear information about the

optimal shape to run the training. How would you proceed to identify the optimal compute shape

for your model training that provides a balanced cost and processing time?

A.

Start with a random compute shape and monitor the utilization metrics and time required to

finish the model training. Perform model training optimizations and performance tests in

advance to identify the right compute shape before running the model training as a job.

B.

Start with a smaller shape and monitor the Job Run metrics and time required to complete

the model training. If the compute shape is not fully utilized, tune the model parameters,

and re- run the job. Repeat the process until the shape resources are fully utilized.

C.

Start with the strongest compute shape Job's support and monitor the Job Run metrics and

time required to complete the model training. Tune the model so that it utilizes as much

compute resources as possible, even at an increased cost.

D.

Start with a smaller shape and monitor the utilization metrics and time required to complete

the model training. If the compute shape is fully utilized, change to compute that has more

resources and re-run the job. Repeat the process until the processing time does not

improve.

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Question # 11

Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to data sets from

reference libraries and index websites such as scikit-learn?

A.

DataLabeling

B.

DatasetBrowser

C.

SecretKeeper

D.

ADSTuner

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Question # 12

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?

A.

Table extraction

B.

Punctuation correction

C.

Sentence diagramming

D.

Topic classification

E.

Sentiment analysis

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Question # 13

You want to use ADSTuner to tune the hyperparameters of a supported model you recently

trained. You have just started your search and want to reduce the computational cost as well as

access the quality of the model class that you are using.

What is the most appropriate search space strategy to choose?

A.

Detailed

B.

ADSTuner doesn't need a search space to tune the hyperparameters.

C.

Perfunctory

D.

Pass a dictionary that defines a search space

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Question # 14

Six months ago, you created and deployed a model that predicts customer churn for a call

centre. Initially, it was yielding quality predictions. However, over the last two months, users are

questioning the credibility of the predictions.

Which two methods would you employ to verify the accuracy of the model?

A.

Retrain the model

B.

Validate the model using recent data

C.

Drift monitoring

D.

Redeploy the model

E.

Operational monitoring

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Question # 15

Six months ago, you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods customer churn would you employ to verify the accuracy of the model?

A.

Redeploy the model

B.

Retrain the model

C.

Operational monitoring

D.

Validate the model using recent data

E.

Drift monitoring

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Question # 16

You are a data scientist building a pipeline in the Oracle Cloud Infrastructure (OCI) Data Science

service for your machine learning project. You want to optimize the pipeline completion time by

running some steps in parallel. Which statement is true about running pipeline steps in parallel?

A.

Steps in a pipeline can be run only sequentially.

B.

Pipeline steps can be run in sequence or in parallel, as long as they create a directed acyclic

graph (DAG).

C.

All pipeline steps are always run in parallel.

D.

Parallel steps cannot be run if they are completely independent of each other.

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