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 a new job every time you need to run your code and pass the parameters as en- vironment variables.Which TWO statements are true about published conda environments?
A. The odsc conda init command is used to configure the location of published conda en- vironments.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. Redeploy the modelWhich feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
A. Document classificationYou 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. Table extractionYou 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.pyThe 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_algorith_selection_trails()You are working as a data scientist for a healthcare company. They decide to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended steps to develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?
A. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ- ment. B. Develop your PySpark application Create a Data Flow application with the Ac- celerated Data Science (ADS) SOKYou 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 selectionYou 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?
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