1Z1-936 무료 덤프문제 온라인 액세스

What does a confusion matrix illustrate?

• A.a table that reports the occurrences of negative positives, false negatives, true positives, and positive negatives for a machine learning model
• B.a table that reports the occurrences of false positives, false negatives, true positives, and true negatives for a machine learning model
• C.a table that reports the occurrences of higher positives, false negatives, lower positives, and true negatives for a machine learning model
• D.a table that reports the occurrences of upper positives, lower negatives, mid positives, and true negatives for a machine learning model

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.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.
• B.Perform analysis on the data by using trend lines, clustering, and outlier detection to offer new perspectives.
• C.Create a data flow to highlight the interesting data.
• D.Create a data story by using the narrate functionality to present to their management.

What does the band inside a box plot visualization represent?

• A.The median of the data
• B.The maximum of the data
• C.The average of the data
• D.The standard deviation of the data

Which two statements are true regarding the ways in which Oracle Analytics Cloud provides self-service data preparation capabilities?

• A.The Oracle Data Integrator tool used for extraction, load, and transformation of data is a foundational component of the Oracle Analytics Cloud and is essential for data preparation.
• B.Join rules for mashing up data from relational sources and delimited flat files can only be defined within the Oracle Analytics Cloud Data Modeler.
• C.Data flows within the data preparation feature of Data Visualization can be used to extract, wrangle, and format data content from all supported data sources to create data sets upon which visuals may be constructed.
• D.Data sources can include application tables, data warehouses, data lake reservoirs, delimited flat files, and Microsoft Excel spreadsheets in the .xlsx format.

A customer wants to build a Block Storage (BSO) cube which has 8 standard dimensions and 2 attribute dimensions.
How many dimension worksheets will the application workbook have?

• A.1 dimension worksheet
• B.10 dimension worksheets
• C.9 dimension worksheets
• D.8 dimension worksheets
• E.12 dimension worksheets