바쁜 일정 속에서 Oracle Cloud Infrastructure Data Science 2022 Professional 시험을 준비하고 계신가요? Fast2test의 1z0-1110-22 연습문제 58문항은 핵심 지식만 골라 담아 짧은 시간에 효율적으로 실력을 점검할 수 있도록 도와드립니다. 2026년 최신 출제 경향을 반영한 자료로 지금 바로 시작해 보시기 바랍니다.

Oracle 1z0-1110-22 시험 개요:

Oracle 1z0-1110-22 시험 요강 주제:

Oracle Cloud Infrastructure Data Science 2022 Professional 시험, 이런 질문이 가장 많습니다

최신 Oracle Cloud Infrastructure 1z0-1110-22 무료샘플문제

문제 #1

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, upload it as a Job artifact on job creation and set JOB_RUN_ENTRYPOINT to point to the main executable file.
B. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.
C. ZIP the entire code project folder and upload it as a Job artifact Jobs automatically identifies
D. Rewrite your code so that a single executable Python or Bash/Shell script file.

문제 #2

While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?

A. sample()
B. suggeste_recoomendations()
C. auto_transform()
D. visualize_transforms()

문제 #3

You are using Oracle Cloud Infrastructure Anomaly Detection to train a model to detect anomalies in pump sensor dat a. How does the required False Alarm Probability settings affect an anomaly detection model?

A. It changes the sensitivity of the model to detect anomalies.
B. It Adds a score to each signal indicating the probability that it is false alarm.
C. It determines how many false alarms occur before an error message is generated.
D. It is used to disable the reporting of false alarm.

문제 #4

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 fie?

A. Configure the deployment infrastructure.
B. Define the inference server dependencies.
C. Define the compute scaling strategy.
D. Execute the inference logic code

문제 #5

During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most effi-cient way to do this with Data Science Jobs?

A. Create a new job with increased storage size and then run the job.
B. Your code using too much disk space. Refactor the code to identify the problem.
C. On the job run, set the environment variable that helps increase the size of the storage.
D. Edit the job, change the size of the storage of your job, and start a new job run.

질문과 대답: