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Question 1 of 6 Why do you need to have your story open and in edit mode? Select an answer: to export and share your

Question 1 of 6

Why do you need to have your story open and in edit mode?

Select an answer:

  • to export and share your story
  • to ensure the integrity of your data
  • to change the device you are using to a tablet
  • to ensure the forecast is saved later

Question 2 of 6

With what selection can Raul add a new chart to his existing story?

Select an answer:

  • define measures
  • select dimensions
  • add to story
  • find natural language

Question 3 of 6

Why would you import data from a file on your computer into your SAP Analytics Cloud model?

Select an answer:

  • SAP Analytics Cloud analyzes the numeric dimensions of your data, and automatically transforms that data into written words
  • SAP Analytics Cloud analyzes your imported data, and automatically assigns the columns as either dimensions or measures.
  • SAP Analytics Cloud takes your imported data and automatically produces full-color GeoEnriched columns
  • SAP Analytics Cloud takes your imported data and turns it into raw data, in the forms of line charts and histograms

Question 4 of 6

How can Sana quickly and easily share her story with her stakeholders?

Select an answer:

  • by exporting her story as a PDF file, and then emailing it to her stakeholders
  • by adding users with View Only access, using the Share icon, and then sending a link to her stakeholders
  • by adding the name of her top stakeholder with Full Control access, and then sharing the link
  • by exporting her story to an XLSX file type, and then sending a link to her stakeholders

Question 5 of 6

Using SAP Analytics Cloud enables us to_____.

Select an answer:

  • identify business insights
  • store data to the cloud
  • schedule project tasks
  • view manual labor efforts

Question 6 of 6

Why should you validate data before creating a data model?

Select an answer:

  • to ensure your measures are defined
  • to ensure you are correctly describing your data
  • to ensure the integrity of your source data
  • to ensure your dimensions are set

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