When might an error indicate that the rows of data received do not match expectations?

The scenario described indicates that an error might occur when there are fewer rows of data than expected. This situation typically suggests that not all the anticipated information has been successfully transmitted or processed. It raises concerns about potential data loss or misconfiguration during the data retrieval or reporting process.

In environments like Tanium, where accurate and comprehensive data collection is crucial for system visibility and security assessments, receiving a lower count of rows can lead to misinformed decisions. It suggests that either the data source is not functioning correctly, filters are overly restrictive, or there are issues in the transmission of data.

In contrast, higher row counts may indicate duplicates or additional unexpected data, but they do not inherently suggest a mismatch in expectations. The absence of errors may simply mean that the data retrieval process was executed without technical faults, and the completion of data transmission does not provide insight into the accuracy or comprehensiveness of the results. Thus, the key indicator for potential issues in data quality and expectations lies in the observation of fewer rows.