1z0-1110-23問題集、Oracle実際の試験問題

質問 1

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. show_in_notebook()

B. auto_transform()

C. OneHotEncoder()

D. DataFramLabelEncode()

正解: D

質問 2

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 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.

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

D. Create the job in Data Science Jobs and then start the number of simultaneous jobs runs required for your workload.

正解: D

質問 3

. You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail?

A. Update the deployment to use fewer instances.

B. Update the deployment to add more instances.

C. Delete the deployment.

D. Reduce the load balancer bandwidth limit so that fewer requests come in.

E. Update the deployment to use a larger virtual machine (more CPUs/memory).

正解: B,D,E

質問 4

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?

A. Create a temporary bucket on Object Storage, write all your files and data to Object Storage, delete your notebook session, provision a new notebook session on a larger compute shape, Want any exam dump in pdf email me at [email protected] (Little Paid) and copy your files and data from your temporary bucket onto your new notebook session.

B. Ensure your files and environments are written to the block volume storage under the
/home/datascience directory, deactivate the notebook session, and activate the notebook session with a larger compute shape selected.

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

D. Download all your files and data to your local machine, delete your notebook session, provision a new notebook session on a larger compute shape, and upload your files from your local machine to the new notebook session.

正解: B

質問 5

For your next data science project, you need access to public geospatial images.
Which Oracle Cloud service provides free access to those images?

A. Oracle Cloud Infrastructure Data Science

B. Oracle Big Data Service

C. Oracle Analytics Cloud

D. Oracle Open Data

正解: D

質問 6

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. Sentence diagramming

B. Punctuation correction

C. Sentiment analysis

D. Table extraction

E. Topic classification

正解: E

質問 7

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_open_handler handler.

D. Execute the is_tech_job_closed_handler handler.

正解: B

質問 8

Which of the following TWO non-open source JupyterLab extensions has Oracle Cloud In-frastructure (OCI) Data Science developed and added to the notebook session experience?

A. Environment Explorer

B. Terminal

C. Table of Contents

D. Notebook Examples

E. Command Palette

正解: A,D

Oracle Cloud Infrastructure Data Science 2023 Professional - 1z0-1110-23 模擬練習