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You have two data sets. One data set contains customer name and age information along with a customer ID. The second data set contains the customer ID along with address information. There are no addresses which do not belong to a customer, there are customers which have no address, and there are customers which have multiple addresses. Which type of join will display all customers who have no recorded address?
Partial outer join
Referring to the exhibit, from which node is the output generated and on which data does it show greater accuracy?
Your data contains 5,000 sales transactions across twelve regions. Which node would reduce your data, showing the average sales amount for each region?
You are provided two data sources which both contain event IDs and the date/time that the events occurred. Which node will merge these two data sources?
What are two purposes of model nuggets? (Choose two.)
Scoring data to generate predictions
Enabling further analysis of the model properties
Merging of two or more data sets
Reducing the number of columns in a data set
Answer: B, D
Referring to the exhibit, respectively, which field is the predicted value and what is the confidence that you have in the prediction?
$XS-Credit rating; $XSC-Credit rating
Credit rating; $XSC-Credit rating
$XSC-Credit rating; $XS-Credit rating
Which modeling node is supported in both Auto Classifier and Auto Numeric modeling nodes?