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NEW QUESTION 31
The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?
  • A. Oracle.automl.visualize_adaptive_sampling_trails()
  • B. Oracle.automl.visualize_tuning_trails()
  • C. Oracle.automl.visualize_algorith_selection_trails()
  • D. Oracle.automl.print_trials()
Answer: D

NEW QUESTION 32
You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which TWO should you look for to ensure permissions are set up correctly?
  • A. The dynamic group's matching rule exists for notebook sessions in this compartment.
  • B. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
  • C. The policy for your user group grants manage permissions for the model catalog in this compartment.
  • D. The model artifact is saved to the block volume of the notebook session.
  • E. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
Answer: B,C

NEW QUESTION 33
You are using a third-party Continuous Integration/Continuous Delivery (CI/CD) tool to create a pipeline for preparing and training models. How would you integrate a third-party tool outside Oracle Cloud Infrastructure (OCI) to access Data Science Jobs?
  • A. Third-party software can access Data Science Jobs by using any of the OCI Software Development Kits (SDKs).
  • B. Third-party tools use authentication keys to create and run.
  • C. Data Science Jobs does not accept code from third-party tools, therefore you need to run the pipeline externally.
  • D. Data Science Jobs Data Science Jobs is not accessible from outside OCI.
Answer: A

NEW QUESTION 34
You trained a model to predict housing prices for your city. Which two metrics from the Ac-celerated Data Science (ADS) Evaluation class can be used to evaluate the regression model you just trained?
  • A. Explained Variance Score
  • B. Weighted Recall
  • C. Mean Absolute Error
  • D. F-1 Score
  • E. Weighted Precision
Answer: A,C

NEW QUESTION 35
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 as command line arguments, and create it new job every time you run the code.
  • B. 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.
  • C. Create a new no by setting the required parameters in your code, and create a new job for mery code change.
  • D. Create a new job every time you need to run your code and pass the parameters as en-vironment variables.
Answer: B

NEW QUESTION 36
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