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Oracle Cloud Platform Enterprise Analytics 2021 Specialist Sample Questions:

1. You have created a visualization of revenue data over time. It displays some seasonality (e.g. high revenue around typical holiday periods) but there is no obvious pattern to the data overall. In which two ways can you start to get insight from this data?

A) Add a filter to remove the oldest data.
B) Create a reference line which displays the average revenue.
C) Create a column trellis over the prominent dimension value.
D) Create a trend line.

2. You've created a visualization of revenue data over time. The revenue data over time exhibits some curvature in the line visualization.
What trending algorithm should you use to refine the trendline?

A) Use the polynomial option.
B) Use the exponential option.
C) Set theconfidence interval to 95%.
D) Use the linear option.

3. 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?

A) The sandbox dimension has one base member and multiple sandbox members.
B) Using the sandbox dimension has storage overhead that would be required to replicate data from the base environment.
C) After working in the sandbox environment, you can commit changes to the base environment or even to another sandbox target.
D) Initially, the state of each sandboxmember is #missing.
E) When you submit changes to a base member, changes are seen and stored in each sandbox member.

4. You have created a visualization of revenue data by date (at day level) for the last three years. What functionality should youuse to create a prediction of ongoing revenue throughout the next three months?

A) Create a custom calculation based on the revenue metric.
B) Add atrend line with exponential option.
C) Add a forecast with a forward period of 3.
D) Add a forecast with a forward period of approximately 90.

5. 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?

A) MaxLscripts are not supported.
B) Only one MaxL statement per script is allowed.
C) It is an invalid MaxL statement. "Create or replace database" Is not supported.
D) It is an invalid job type.
E) It is an invalid script file. A script file must be saved with a .msh extension.

Solutions: