Online Access Free 1Z1-936 Exam Questions

Which two statements are true about a segment as defined in the Oracle Analytics Cloud machine learning functionality?

• A.It Is a component of a data flow sequence.
• B.It is a statistically determined group of data points that may contribute to predicting the value of an attribute of interest.
• C.It is the resulting data set after applying a filter in a data flow.
• D.It Is a component of the output from the Explain functionality.

Which statement Is false about log files generated by Oracle BI Analyses?

• A.The log file is not accessible via the repository Administration client.
• B.Catalog Manager provides rapid access to the log file.
• C.The log file can be accessed via the Fusion Middleware Control.
• D.An Analysis that references two fact tables will generate two database-specific SQL queries in the log file.

You have added new columns to the source table. What should you do to include the new columns in your data model?

• A.Update Data Model
• B.Connect to Tables
• C.Synchronize with Database
• D.Add Columns from Database

Which statement is false regarding arrangement of visuals on a canvas?

• A.Visuals can be arranged vertically, one visual beside another.
• B.Visuals can be stacked one on top of another.
• C.Visuals can be arranged horizontally, one visual above another.
• D.Visuals cannot be arranged automatically.

Your customer is looking to get a better understanding of their data, in particular how Oracle Analytics Cloud can help them gain a competitive advantage.
Which two tasks can help them achieve their goals?

• A.Create a data story by using the narrate functionality to present to their management.
• B.Import the data Into Oracle Analytics Cloud and use the Data Tile functionality in the Prepare section of the product. Use the resulting combination of visualization types to determine relationships and avenues for further exploration.
• C.Create a data flow to highlight the interesting data.
• D.Perform analysis on the data by using trend lines, clustering, and outlier detection to offer new perspectives.