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1. You create a visualization of revenue data by date (at day level) for the past three years. You then add a forecast.
How can you check the accuracy of the forecast?

A) Change the model employed by the algorithm.
B) Combine a polynomial trend line with a suitable reference line.
C) Select the option to highlight the prediction interval for a given percentage.
D) Addreference lines for the maximum and minimum.

2. If something goes wrong with your data model, you can easily restoreyour content to a previous working state from a_____.

A) snapshot
B) db_restore command
C) Model Restore
D) analytics_restore command

3. How should you use a machine learning model within a canvas of an Oracle Analytics Cloud project?

A) Use the machine learning model visualization.
B) Create a data sequence.
C) Create a scenario using the requiredmodel.
D) Create a custom calculation.

4. What does a confusion matrix illustrate?

A) a table that reports the occurrences of negative positives, false negatives, true positives, and positive negatives for a machine learning model
B) a table that reports the occurrences of upper positives, lower negatives, mid positives, and true negatives for a machine learning model
C) a table that reports the occurrences of false positives, false negatives, true positives, and true negatives for a machine learning model
D) a table that reports the occurrences of higher positives, false negatives, lower positives, and true negatives for a machine learning model

5. Which of the following cannot be done with Data Visualization to shape stories?

A) Enhance narrative transition by rearranging and/or hiding Insight canvases.
B) Create filters to focus upon pertinent data points.
C) Multiple projects can be combined into one project by clicking on theShare icon in the Narrate menu bar.
D) Visual canvases can beresized and the Auto Fit setting can be disabled.

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