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Oracle Cloud Platform Enterprise Analytics 2021 Specialist Sample Questions:

1. In which two ways can you use Oracle Analytics Cloud to determine which values of a given data set may provide the greatest opportunity due to their stand out qualities?

A) Create a box plot visualizationof your data set.
B) Use a combination of Max / Min value reference lines.
C) Add an outlier visualization to your canvas. This will highlight data points that stand out and may Justify further investigation.
D) Modify the color palette to highlight unique values.

2. You want the Oracle BI Baseline Validation Tool to use specificdashboard prompts when executing a specific dashboard page. In which default file should you specify the values?

A) DashboardPrompts.xml
B) Prompts.xml
C) Prompts.txt
D) DashboardPrompts.txt

3. If we select the Oracle Analytics Cloud Enterprise Edition, which are the options available to select while creating theservice?

A) Business Intelligence - Enteprise Reports
Data Visualization
Essbase
B) Essbase
Pixel Perfect Reports
Data Visualization
C) Business Intelligence - Enterprise Reports
Pixel Perfect Reports
Data Visualization
D) Business Intelligence - Enterprise Reports
Pixel Perfect Reports
Essbase

4. 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?

A) Use the Load Data option in Cube Designer.
B) Cube Designercannot be used to load data in the cube.
C) Cube Designer cannot be used to load data incrementally in the cube.
D) Use the Update Cube option from the Build Option menu in Cube Designer.
E) Use the Transform Data option in Cube Designer.

5. Which action cannot be employed to split one Data Set column containing data with hyphenated strings (in the format of xxx-xxx) into twocolumns?

A) Edit the Data Set and select the Create option from the hyphenated column's action menu to invoke the Expression Editor. Use the String functions to parse and extract the string preceding the hyphen. Repeat for the text following the hyphen.
B) Edit the Data Set and select the Split option from the hyphenated column's action menu.
C) Edit the Data Set and select the Edit option from the hyphenated column's action menu to invoke the Expression Editor. Use the String functions to parse and extract the string preceding the hyphen. Repeat for the text following the hyphen.
D) Edit the Data Set and select the Group option from the hyphenated column's action menu to create two new groups for each element.

Solutions: