What is the proper workflow for analyzing data in Oracle Machine Learning?

A. Evaluate the model, prepare the data, build the model, and deploy the model.

B. Get predictions from the model, prepare the data, build the model, and deploy the model

C. Prepare the data, build the model, evaluate the model, and deploy the model.

D. Build the model, prepare the data, evaluate the model, and deploy the model.

Which three data sources can be immediately used for model building in Oracle Machine Learning?

A. Oracle Database External tables

B. JSON files

C. CSV files

D. Oracle Database views

E. Oracle Database tables

Which four statements are true about Oracle Machine Learning on Oracle Autonomous Database?

A. It provides a development environment to build models and score data.

B. It provides a collaborative web-based notebook interface.

C. It is deployed with Oracle Data Miner.

D. It enables data analytics, data discovery, and data visualizations.

E. It includes parallelized in-database algorithms.

F. It provides an interface to monitor a database.

Which three statements are true about unsupervised machine learning?

A. There is no previously known result to guide the algorithm in building the model.

B. It uses unlabeled data.

C. It analyzes cases where the target value is already known.

D. It can be used as a preliminary step for supervised algorithms.

In which three use cases are Oracle MachineLearning algorithms suitable?

A. Customer segmentation

B. Graph analytics

C. Speech recognition

D. Medical outcome analysis

E. Anomaly and fraud detection