1z0-1110-23 試験問題を無料オンラインアクセス

You have trained three different models on your data set using Oracle AutoML. You want to visualize the behavior of each of the models, including the baseline model, on the test set. Which class should be used from the Accelerated Data Science (ADS) SDK to visually compare the models?

• A.EvaluationMetrics
• B.ADSTuner
• C.ADSExplainer
• D.ADSEvaluator

After you have created and opened a notebook session, you want to use the Accelerated Data Science (ADS) SDK to access your data and get started with an exploratory data analysis.
From which two places can you access or install the ADS SDK?

• A.Python Package Index (PyPI
• B.Oracle Machine Learning (OML)
• C.Oracle Big Data Service
• D.Conda environments in Oracle Cloud Infrastructure (OCI) Data Science
• E.Oracle Autonomous Data Warehouse

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 subfolders 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 identifies the main executable file automatically.
• C.Rewrite your code so that it is a single executable Python or Bash/Shell script file.
• D.ZIP the entire code project folder and upload it as a Job artifact. Jobs automatically identifies the_main_ top level where the code is run.

As a data scientist, you create models for cancer prediction based on mammographic images.
The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix.
Model 1 has Test accuracy is 80% and recall is 70%.
* Model 2 has Test accuracy is 75% and recall is 85%.
Which model would you prefer and why?

• A.Model 1, because the test accuracy is high.
• B.Model 2, because recall is high.
• C.Model 2, because recall has more impact on predictions in this use se.
• D.Model 1, because recall has lesser impact on predictions in this use case

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.Show_corr{}
• B.Show_in_notebook{}
• C.Compute{}
• D.To_xgb{}