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Difficulty: EasyValidation Rules and Data Quality Enforcement

Match each Salesforce validation rule formula function to its primary data quality enforcement use case.

  • REGEXValidates that a field entry matches a specific character pattern, such as a Zip Code or phone number.
  • VLOOKUPCompares a field value against a column in a custom object to verify reference data.
  • PRIORVALUEReturns the previous value of a field prior to the current save operation.
  • ISCHANGEDDetermines if a field's current value is different from its saved value.

Answer

REGEX matches pattern validation, VLOOKUP matches custom object column value validation, PRIORVALUE retrieves the pre-save value, and ISCHANGED detects field value changes.
Each validation rule function serves a distinct purpose: REGEX verifies string patterns, VLOOKUP checks values against custom object columns, PRIORVALUE fetches historical values prior to save, and ISCHANGED evaluates whether a field has been updated.

Step-by-Step Solution

1
Identify pattern enforcement needs.
REGEX validates input formatting like postal codes using pattern matching syntax.
REGEX is specifically designed for text pattern compliance.
2
Identify table lookup requirements.
VLOOKUP searches a column in a custom object to match field inputs against valid reference records.
VLOOKUP allows cross-referencing custom object records for data validation.
3
Distinguish between change detection and previous value retrieval.
ISCHANGED evaluates if a modification occurred, whereas PRIORVALUE captures the specific value before modification.
Understanding execution functions ensures accurate logic evaluation in validation rules.

Key Concept

Validation Rule Functions and Data Quality Enforcement
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Topics

Validation Rules and Data Quality Enforcement

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