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Oracle Cloud Platform Enterprise Analytics 2021 Specialist Sample Questions:

1. 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) 9 dimension worksheets
C) 12 dimension worksheets
D) 10 dimension worksheets
E) 8 dimension worksheets

2. You have added new columns to the source table. What should you do to include the new columns in your data model?

A) Update Data Model
B) Add Columns from Database
C) Synchronize with Database
D) Connect to Tables

3. Which is not a step that can be followed to create a Story?

A) Create a new project for the Story by clicking the Save As button in the project toolbar.
B) Capture a story insight from one or more Visualization canvases in a project by navigating from Visualize to Narrate and dragging the desired Visualization canvas(es) onto the Narration canvas.
C) Create and position annotations on the canvas as desired.
D) Share the Story in presentation mode by setting thereportMode parameter in the project properties to FullDisplay.

4. You've been given a spreadsheet of employee attrition data and have been asked todetermine which are the most important factors that contribute to whether an employee is likely to leave their position. What is the quickest way to start this analysis after uploading the data to Oracle Analytics Cloud?

A) Perform a cluster analysis of employees.
B) Use the Explain option on the attrition attribute.
C) Calculate a forecast of the probability of attrition.
D) Use Outlier identification.

5. The data loads for your Essbase cube are taking many hours, due to which the cube is unavailable to theuser for extended periods every day. You are assigned the task of optimizing the data load process.
Which are four optimization steps?

A) loading from the Essbase server
B) positioning data in reverse order as the outline
C) switching from multiple data fields to a single data field
D) using Parallel load
E) grouping the data source by sparse-dimensionmember combination
F) making the data source as small as possible by eliminating redundancy

Solutions: