1Z1-1041 무료 덤프문제 온라인 액세스

How should you use a machine learning model within a canvas of an Oracle Analytics Cloud project?

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

Oracle Analytics Cloud offers several visualization options for presenting query results. How do you explicitly invoke "best visualization" in Oracle Analytics Cloud?

• A.Select the "Best Visualization" option from the project's Canvas Settings drop-down menu.
• B.Select the desired data elements from the Data Elements pane, right-click and select "Create Best Visualization" from the drop-down menu.
• C.Drag an entire Data Set from the Data Elements pane onto the Data Visualization canvas and let the tool determine the best visualization.
• D.Select the desired data elements from the Data Elements pane and drag them onto the Best Visualization zone in the Explore pane.

What is the Oracle resource recommendation for applying a patch?

• A.Oracle recommends 200 GB, that is, 100 GB latency, and 100 GB data.
• B.Oracle recommends 330 GB, that is, 180 GB latency, and 150 GB data.
• C.Oracle recommends 300 GB, that is, 150 GB latency, and 150 GB data.
• D.Oracle recommends 230 GB, that is, 130 GB latency, and 100 GB data.

The extensive palette of visualization options delivered with Oracle Analytics Cloud can be extended with custom plugins.
What option is false about implementing custom visualization plugins?

• A.Oracle Analytics Cloud provides a Software Development Kit (SDK) to enable builds of custom plugins.
• B.Plugins for rendering sophisticated visuals can be downloaded from the Oracle Data Visualization Library.
• C.To be implemented, custom plugins must be deployed in the Bi_HOME\Analytics\src\customVi2 directory and BI Services need to be restarted.
• D.The bicreateplugin script, provided with Oracle Analytics Cloud, can be used to create a skeleton visualization to facilitate custom development.

Which of the following cannot be done with Data Visualization to shape stories?

• A.Create filters to focus upon pertinent data points.
• B.Multiple projects can be combined into one project by clicking on the Share icon in the Narrate menu bar.
• C.Enhance narrative transition by rearranging and/or hiding Insight canvases.
• D.Visual canvases can be resized and the Auto Fit setting can be disabled.