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

결제하는 순간부터 학습이 시작됩니다. ITDumpsKR의 1z0-1110-22 연습문제는 결제 후 즉시 다운로드할 수 있으며, 58문항 전체가 이메일로도 1분 이내에 발송됩니다. 기다릴 필요 없이 바로 Oracle Cloud Infrastructure Data Science 2022 Professional 대비에 들어가 보십시오.

Oracle 1z0-1110-22 시험 개요:

Oracle 1z0-1110-22 시험 요강 주제:

1z0-1110-22 시험에 대해 자주 묻는 질문

최신 Oracle Cloud Infrastructure 1z0-1110-22 무료샘플문제

문제 #1

As a data scientist, you are tasked with creating a model training job that is expected to take different hyperparameter values on every run. What is the most efficient way to set those pa-rameters with Oracle Data Science Jobs?

A. Create your code to expect different parameters either as environment variables or as command line arguments, which are set on every job run with different values.
B. Create a new job every time you need to run your code and pass the parameters as en-vironment variables.
C. Create a new no by setting the required parameters in your code, and create a new job for mery code change.
D. Create your code to expect different parameters as command line arguments, and create it new job every time you run the code.

문제 #2

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. DataFramLabelEncode()
C. OneHotEncoder()
D. auto_transform()

문제 #3

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. Mobile App
B. Command Line Interface (CLI)
C. Programming Language Software Development Kit (SDK)
D. OCI Console

문제 #4

You are a data scientist working for a manufacturing company, you have developed a fore-casting model to predict the sales demand in the upcoming months. You created a model artifact that contained custom logic requiring third party libraries. When you deployed the model, it failed to run because you did not include all the third-party dependencies in the model artifact.?

A. Score.py
B. Model_artifact_validate.py
C. Requirement.txt
D. Runtime.yaml

문제 #5

You have a data set with fewer than 1000 observations, and you are using Oracle AutoML to build a classifier. While visualizing the results of each stage of the Oracle AutoML pipeline, you notice that no visualization has been generated for one of the stages. Which stage is not visualized?

A. Feature selection
B. Adaptive sampling
C. Hyperparameter tuning
D. Algorithm selection

질문과 대답: