Data Entry Discrepancy Checks Flashcards
7 cards from real USPS practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Data Entry Discrepancy Checks flashcards as text
A data entry record shows the recipient's last name as 'Jonson' while the original document reads 'Johnson'. This is classified as:
Answer: A character omission error
The missing 'h' in 'Jonson' is a character omission error made when keying the name.
Two data records for the same address differ only in apartment number: one reads 'Apt 2B' and the other reads 'Apt 2D'. What discrepancy type is this?
Answer: Character substitution error
A single character ('B' changed to 'D') was incorrectly keyed, making this a character substitution error.
Which of the following best describes a 'double-entry discrepancy' in postal data records?
Answer: The same mail piece is logged twice under different tracking numbers
A double-entry discrepancy occurs when the same item is logged more than once, often with slight differences in fields.
A USPS clerk is verifying that addresses entered into a sorting system match handwritten forms. The form reads '700 Pennsylvania Ave NW' but the system shows '700 Pennsylvania Ave NE'. What type of error is this?
Answer: Directional suffix substitution
Replacing 'NW' with 'NE' is a directional suffix substitution error that would route the mail to a completely different street.
When auditing parcel data, a clerk finds that the weight field reads '2.5 lbs' on the label but '25 lbs' in the system. What is the most likely cause?
Answer: A missing decimal point during data entry
Omitting the decimal point when keying '2.5' produces '25', a common numeric data entry error.
A batch verification finds that address line 2 (apartment/suite) is present on 45 of 50 labels but missing from the corresponding system records. This pattern most likely indicates:
Answer: A systemic data entry omission for secondary address fields
Consistently missing secondary address fields across multiple records points to a systemic omission during the data entry process.
In a USPS error detection context, what does 'field-level validation' primarily prevent?
Answer: Entries that violate expected format rules for a given field
Field-level validation checks that each data field conforms to its expected format, such as a 5-digit ZIP or 2-letter state code.