Which statement is true about standards?

• A. They are the foundation of corporate governance
• B. They may be audited
• C. They are methods and instructions on how to maintain or accomplish the directives of the policy
• D. They are the result of a regulation or contractual requirement or an industry requirement

Why is data sampling useful for data scientists?

• A. It reduces the amount of data storage space that’s required for data science applications.
• B. It lets them analyze datasets in small batches to reduce their use of system resources.
• C. It enables them to use a representative subset of data to build accurate analytical models more quickly.

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 oracle_automl and now you want an output with all the different trials performed by Oracle AutoML. Which of the following commands gives you the results of all trials?

• A. oracle_automl.visualize_algorithm_selection_trials()
• B. oracle_automl.visualize_tuning_trials()
• C. oracle_automl.visualize_adaptive_sampling_trials()
• D. oracle_automl.print_trials()

The feature type TechJob has the following registered validators:
TechJob.validator.register(name=’is_tech_job’, handler=is_tech_job_default_handler) TechJob.validator.register(name=’is_tech_job’, handler=is_tech_job_open_handler, condition=('job_family',)) TechJob.validator.register(name=’is_tech_job’, handler=is_tech_job_closed_handler, condition=('job_family': 'IT'))When you run is_tech_job(job_family='Engineering'), what does the feature type validator system do?

• A. Execute the is_tech_job_default_handler handler
• B. Throw an error because the system cannot determine which handler to run
• C. Execute the is_tech_job_closed_handler handler
• D. Execute the is_tech_job_open_handler handler

You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a timestamp. What part of the Data Science lifecycle would you be in when creating the new variable?

• A. Feature engineering
• B. Data access
• C. Model validation
• D. Model type selection