Which two types of missing values are automatically recognized by IBM SPSS Modeler Professional without being explicitly defined by users? (Choose two.)

Question

Options

• ANull or system-missing values
• BString with value "%NULL%"
• CBlank missing values
• DNumeric set to NaN

• A
  8% (4)
• B
  88% (43)
• C
  4% (2)

Explanation

IBM SPSS Modeler Professional has two built-in missing value tokens it recognizes automatically: the string literal %NULL% (option B), which acts as a reserved placeholder Modeler treats as missing for string fields without any user configuration, and NaN (Not a Number, option D), which is the standard IEEE floating-point representation of an undefined numeric result and is recognized automatically for numeric fields.

Options A and C are incorrect because they require explicit user action - null/system-missing values (A) depend on how a data source is configured or imported (e.g., from SPSS Statistics files), and blank missing values (C) must be manually declared as missing in the Type node or source settings; a blank string is not treated as missing by default.

Memory tip: Think of it as Modeler having two "secret codes" baked in - %NULL% for strings and NaN for numbers. Anything else (blanks, system-missing) requires you to tell Modeler it's missing.

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