최신 1z0-1110-22 무료덤프 - Oracle Cloud Infrastructure Data Science 2022 Professional

문제1

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 Catalog

B. Model Depository

C. Data Science Artifactory

D. OCI Vault

정답: A

문제2

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, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?

A. Compute{}

B. Show_in_notebook{}

C. Show_corr{}

D. To_xgb{}

정답: B

문제3

You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolder and classes. What is the best way to run this project as a job?

A. ZIP the entire code project folder and upload it as a Job artifact Jobs automatically identifies

B. Rewrite your code so that a single executable Python or Bash/Shell script file.

C. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.

D. ZIP the entire code project folder, upload it as a Job artifact on job creation and set JOB_RUN_ENTRYPOINT to point to the main executable file.

정답: D

설명: (DumpTOP 회원만 볼 수 있음)

문제4

You have an embarrassingly parallel or distributed batch job on a large amount of data 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 Date Science Jobs service can have only one job run per job.

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

D. Reconfigure the job run because Data science jobs does not support embarrassingly parallel.

정답: C

문제5

You have developed a model training code that regularly checks for new data in Object Storage and retrains the model. Which statement best describes the Oracle Cloud Infrastructure (OCI) services that can be accessed from Data Science Jobs?

A. Some OCI services require authorizations not supported by Data Science Jobs.

B. Data Science Jobs can access all OCI services.

C. Data Science Jobs cannot access all OCI services.

D. Data Science Jobs can access OCI resources only via the resource principal.

정답: B

문제6

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. OCI Console

B. Command Line Interface (CLI)

C. Mobile App

D. Programming Language Software Development Kit (SDK)

정답: D

최신 1z0-1110-22 무료덤프 - Oracle Cloud Infrastructure Data Science 2022 Professional

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