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Oracle Cloud Platform Enterprise Analytics 2021 Specialist Sample Questions:

1. What does the band inside a box plot visualization represent?

A) The standard deviation of the data
B) The maximum of the data
C) The median of the data
D) The average of the data

2. How should you determine the accuracy of a machine learning model created in Oracle AnalyticsCloud?

A) Open the Inspect dialog for a given machine learning model and review the F1 score.
B) Create a data flow that Includes a histogram.
C) Run the machine learning model with various filter values applied.
D) Use the debug option in the data flow where the model was created.

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

4. What are two incorrect steps when creating pixel perfect reports with Bl Publisher?

A) Create connections to sources, some of which include Oracle l0g/llg, Oracle BI Server, JDBC, and MS SQL Server 2005/2008.
B) Generate and save to a folder in the Presentation Catalog a sample set of data that can be used for configuring and testing the report.
C) Define a data model to set the business view of the data, join data sets, and create custom measures.
D) Test connections between BI Publisher and configured sources using Oracle Fusion Middleware Control.

5. You have a data set that you wish to use to train a machine learning model in Oracle Analytics Cloud. The attribute you are interested in predicting has one of two text values (e.g. Yes/No or True/False).
How should you perform this operation?

A) Create a data flow that includes a step to analyze sentiment and save the model for later use.
B) Create a data flow that includes a step to train a fuzzy prediction model and save the model for later use.
C) Create a data flow that includes a step to train a binary classifier model and save the model for later use.
D) Create a data flow that includes a step to train a clustering model and save the model for later use.

Solutions: