Oracle Machine Learning using Autonomous Database 2023 Associate - 1z0-1096-23 Exam Practice Test

A. Personal templates B. Public templates C. Shared templates D. Custom templates E. Example templates

A. Algorithm selection, Feature selection. Model tuning B. Model tuning. Algorithm selection. Feature selection C. Model selection, Algorithm selection D. Model selection, Algorithm selection

A. They support SQL, PL/SQL, JavaScript, and PHP scripting languages. B. They provide a collaborative notebook interface on Oracle Autonomous Database. C. They enable job scheduling of notebooks on a recurring schedule. D. They support integration with Oracle Data Miner-ID E. They enable access to in database implementation of machine learning algorithms.

A. Save the notebook in the .csv format and have your colleague import this notebook. B. Make the notebook public. C. Export the notebook in .json format and have your colleague import this notebook. D. Save the notebook as a shared template.

A. It will return the median value of customer credit limit grouped by marital status. B. It will return an error. C. It will return a customer's marital status and credit limit grouped by marital status D. It will return the marital status and credit limit of each customer.

A. Unsupervised Learning B. Supervised Learning C. Semi-supervised Learning D. Reinforcement Learning

A. Provide the user with an Autonomous Data Warehouse client wallet for remote authentication. B. Add the user's full name and email ID in the Oracle Machine Learning Management User Interface. C. Issue grant commands on the database to allow access to the tables associated with the user's Oracle Machine Learning Notebooks. D. Create an OML username and password for the user in the Oracle Machine Learning Management User Interface.

A. Shared B. Example C. Personal D. Public