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NEW QUESTION 41
What does a confusion matrix illustrate?

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

Answer: B

NEW QUESTION 42
Which feature does the Data Lake Edition uniquely offer?

• A. Migrate content from your existing on-premises environment
• B. Execute data flows on Apache Spark
• C. Use the Day by Day mobile app
• D. Live optimized connectivity to your on-premises database

Answer: B

NEW QUESTION 43
The extensive palette of visualization options delivered with Oracle Analytics Cloud can be extended with custom plugins.
What option is false about implementing custom visualization plugins?

• A. To be implemented, custom plugins must be deployed in the Bi_HOME\Analytics\src\customVi2 directory and BI Services need to be restarted.
• B. The bicreateplugin script, provided with Oracle Analytics Cloud, can be used to create a skeleton visualization to facilitate custom development.
• C. Oracle Analytics Cloud provides a Software Development Kit (SDK) to enable builds of custom plugins.
• D. Plugins for rendering sophisticated visuals can be downloaded from the Oracle Data Visualization Library.

Answer: A

NEW QUESTION 44
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 clustering model and save the model for later use.
• C. Create a data flow that includes a step to train a fuzzy prediction model and save the model for later use.
• D. Create a data flow that includes a step to train a binary classifier model and save the model for later use.

Answer: D

NEW QUESTION 45
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