When managing models using the Model Repository screen from the OML AutoML UI, what are the four operations a user can do to models and model deployments?

You want to predict which customers are likely to increase spending if given an additional credit card. Your task is to build a model using demographic and aggregated credit card data for customers who have used similar cards in the past.
Which machine learning technique should you use to achieve this?

What is the correct sequence of function invocations of AutoML API from OML4Py to solve a business problem?

Examine the command:
%sql
SELECT CUST_MARITAL_STATUS, MEDIAN <COST_CREDIT__LIMIT)
FROM SH. CUSTOMERS GROUP BY CUST_MARITAL_STATUS;
Which statement is true about running this command where the table has columns cust_maritax._statu3 (VARCHAR2) and cost_credit_limit (number) with 100k rows of non-null data?

Which three actions can be performed by an Administrator in Oracle Machine Learning (OML) Notebooks?