Oracle Cloud Infrastructure 2023 Enterprise Analytics Professional - 1z0-1041-23 FREE EXAM DUMPS QUESTIONS & ANSWERS

A. Train and test the Machine Learning model. B. Create a custom Python Machine Learning model. C. Perform some lightweight transformation within the Project. D. To curate data sets that can be used for visualizations.

A. DV Consumer Role B. BI Data Model Author C. BI Data Load Author D. BI Content Author E. BI RPD Model Author

A. The input contains the date attribute in the year-month-day format B. The input contains a comma (,) in the search text. C. The input contains the object name only as search text. D. The input contains an asterisk (*) in the search text (for example, 'revenue).

A. Use Data Flow with an Apply Model step and save as a new data set. B. Create a custom calculation based on a related formula. C. Use a data flow with a Commit Model step and save as a new data set. D. Create Data Flow with a cumulative value prediction. E. Connect to the model as a new project.

A. AGO B. TODATE C. FORECAST D. PERIODROLLING

A. It is available for both Professional and Enterprise Edition. B. You create a new connection pool in the Oracle Analytics Developer Client tool. C. After a change has been made to the Usage Tracking Connection Pool setting in the console, a restart is required. D. You create a new connection pool in Data Modeler. E. It is available only for Enterprise Edition.

A. Create a scenario using the required model. B. Create a custom calculation. C. Use the machine learning model visualization. D. Create a data sequence.

A. View data from multiple data sets \n a single query. B. opening visualizations in the Oracle Analytics Cloud home page to customize and add to a project C. Drilling down on the visualizations. D. saving visualizations displayed on the Oracle Analytics Cloud home page