Which statement about Oracle Cloud Infrastructure Anomaly Detection is true?

• A.Accepted file types are SQL and Python
• B.Data used for analysis can be text or numerical in nature
• C.It is an important tool for detecting fraud, network intrusions, and discrepancies in sensor time series analysis
• D.It is trained on a combination of customer and general industry datasets

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You have an embarrassingly parallel or distributed batch job with a large amount of data running using Data Science Jobs. What would be the best approach to run the workload?

• A.Create a job in Data Science Jobs and then start the number of simultaneous job runs required for your workload
• B.Create a new job for every job run that you have to run in parallel, because the Data Science Job service can have only one job per job
• C.Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required
• D.Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel

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You want to use ADSTuner to tune the hyperparameters of a supported model you recently trained. You have just started your search and want to reduce the computational cost as well as assess the quality of the model class that you are using. What is the most appropriate search space strategy to choose?

• A.Detailed
• B.ADSTuner doesn’t need a search space to tune the hyperparameters
• C.Perfunctory
• D.Pass a dictionary that defines a search space

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Which CLI command allows the customized conda environment to be shared with co-workers?

• A.odsc conda clone
• B.odsc conda publish
• C.odsc conda modify
• D.odsc conda install

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As a data scientist, you are trying to automate a machine learning (ML) workflow and have decided to use Oracle Cloud Infrastructure (OCI) AutoML Pipeline. Which THREE are part of the AutoML Pipeline?

• A.Feature Selection
• B.Adaptive Sampling
• C.Model Deployment
• D.Feature Extraction
• E.Algorithm Selection

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