You want to create an Essbase cube using a MaxL script. This is the content of the Max! script:
You saved the script file locally as cubeBuild.mx1, uploaded it to the cloud service, and executed a "MaxL script" job type. The job failed. What is the problem?
Your customer has an Essbase cube with current year P&L data. Once a month, the cube needs to be updated with the last closed month data.
How can the monthly data be loaded incrementally using Cube Designer?
Which of the following cannot be done with Data Visualization to shape stories?
Your customer has a hybrid aggregate Essbase cube. They want to be able to model what-if scenarios with hypothetical data and are considering using the Sandbox dimension.
Which two statements represent correct functionality of the Sandbox dimension?
How should you use a machine learning model within a canvas of an Oracle Analytics Cloud project?