Field Data Verification & Quality Flashcards
7 cards from real CMO practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Field Data Verification & Quality flashcards as text
A field technician submits a completed work order but the GPS coordinates recorded do not match the service address on file. What is the FIRST corrective step?
Answer: Cross-reference the address against a mapping tool to confirm which data point is incorrect
Cross-referencing against a mapping tool identifies whether the GPS capture or the address on file contains the error before any correction is made.
Which data quality dimension specifically measures whether field-captured values fall within acceptable predefined ranges?
Answer: Validity
Validity checks that data conforms to defined formats, types, and acceptable value ranges.
When verifying photographic evidence captured in the field, which metadata element is MOST critical to confirm data authenticity?
Answer: Timestamp and geolocation EXIF data
EXIF timestamp and geolocation data confirm when and where a photo was taken, directly supporting authenticity verification.
A field operator notices that a required field in the Mobilyze form is pre-populated with a default value. What quality risk does this present?
Answer: Risk that inaccurate default values get submitted without verification
Default values can mask missing or incorrect data if technicians submit them without confirming accuracy for each job.
In a Mobilyze field data workflow, what does a 'data reconciliation' process primarily accomplish?
Answer: Compares field-collected records against back-end reference data to identify mismatches
Reconciliation systematically compares field-submitted data with authoritative source records to surface and resolve discrepancies.
Which of the following is an example of a 'false positive' error during field data verification?
Answer: A validation rule rejects a correct meter reading because it falls outside a misconfigured threshold
A false positive occurs when a validation rule incorrectly flags valid data as an error due to a misconfigured rule.
When a field operator must collect a customer signature as part of verification, which action best protects data integrity if the customer refuses to sign?
Answer: Record the refusal with a timestamp, document the reason, and follow the refusal protocol
Documenting refusal with timestamp and reason preserves an accurate, auditable record without fabricating data.