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Oracle 1z0-1110-22 시험 개요:

Oracle 1z0-1110-22 시험 요강 주제:

Oracle 1z0-1110-22 응시 전 꼭 확인해야 할 질문들

최신 Oracle Cloud Infrastructure 1z0-1110-22 무료샘플문제

문제 #1

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. Sentiment analysis
B. Sentence diagramming
C. Table extraction
D. Topic classification
E. Punctuation correction

문제 #2

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. Operational monitoring
B. Validate the model using recent data
C. Drift monitoring
D. Retrain the model
E. Redeploy the model

문제 #3

You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your condo environment. After running this command, you get a network timeout error. What might be missing from your networking configuration?

A. NAT Gateway with public internet access.
B. Primary Virtual Network Interface Card (VNIC).
C. FastConnect to an on-premises network.
D. Service Gateway with private subnet access.

문제 #4

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 your code to expect different parameters as command line arguments, and create it new job every time you run the code.
C. Create a new job every time you need to run your code and pass the parameters as en-vironment variables.
D. Create a new no by setting the required parameters in your code, and create a new job for mery code change.

문제 #5

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.

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