C1000-010 · Question #47
When creating a new metric for simulation in Decision Center, which two types are valid? (Select two.)
The correct answer is A. Null C. String. In IBM ODM Decision Center, simulation metrics support a defined set of data types for capturing output values. Null is valid because metrics may intentionally represent the absence of a value (e.g., a rule branch that produces no result), and String is valid as the primary…
Question
When creating a new metric for simulation in Decision Center, which two types are valid? (Select two.)
Options
- ANull
- BFloat
- CString
- DDomain
- EWildcard
How the community answered
(48 responses)- A85% (41)
- B2% (1)
- D4% (2)
- E8% (4)
Explanation
In IBM ODM Decision Center, simulation metrics support a defined set of data types for capturing output values. Null is valid because metrics may intentionally represent the absence of a value (e.g., a rule branch that produces no result), and String is valid as the primary text-based type for capturing rule outputs like labels or categories.
Float (B) is a distractor - Decision Center simulation metrics use Integer for numeric values, not Float, making this an easy mix-up. Domain (D) refers to a business rule vocabulary concept (a constrained set of values), not a standalone metric data type. Wildcard (E) is a pattern-matching concept used in rule conditions, not a metric type.
Memory tip: Think "NS" - Null and String are the two that capture absence and text, the two extremes of output expressiveness. If you're tempted by Float, remember Decision Center keeps numerics as integers for simulation simplicity.
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