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Oracle Cloud Platform Enterprise Analytics 2022 Professional Sample Questions (Q33-Q38):

NEW QUESTION # 33
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.

Answer: C,D

NEW QUESTION # 34
If something goes wrong with your data model, you can easily restore your content to a previous working state from a_____.

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

Answer: D

NEW QUESTION # 35
Which two statements are true about a segment as defined in the Oracle Analytics Cloud machine learning functionality?

A. It Is a component of a data flow sequence.
B. It is a statistically determined group of data points that may contribute to predicting the value of an attribute of interest.
C. It Is a component of the output from the Explain functionality.
D. It is the resulting data set after applying a filter in a data flow.

Answer: B,D

NEW QUESTION # 36
Which two elements does a well modeled Fact Table consist of?

A. Measures
B. Nulls
C. REST APIs
D. Dimension Keys

Answer: A,D

Explanation:
https://docs.oracle.com/cd/E05553_01/books/admintool/admintool_DataModeling8.html

NEW QUESTION # 37
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 upper positives, lower negatives, mid 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 false positives, false negatives, true positives, and true negatives for a machine learning model

Answer: D

NEW QUESTION # 38
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