Question 120
An industrial telemetry database must read recent device measurements by device ID and time range at very high ingestion rates. Which limitation must be considered before claiming the issue is fully resolved?
Explanation
Correct Answer
Sequential timestamps alone can create key hotspots if row keys are poorly designed. This caution prevents extrapolating beyond the specific evidence or product boundary. Bigtable optimization depends on access patterns and row-key distribution. The unresolved point should be tested using row-key access distribution, read/write load and hotspot evidence rather than assuming a working interface proves full compliance or resilience.
Incorrect Answers
A wide-column database has no need for careful row-key modeling. This limitation is framed as a blanket exception, but the case requires a different, narrower caution. The relevant boundary is that sequential timestamps alone can create key hotspots if row keys are poorly designed. Bigtable optimization depends on access patterns and row-key distribution. Inspect row-key access distribution, read/write load and hotspot evidence.
Hot key distributions cannot occur in a horizontally scaled wide-column store. The proposed claim mistakes an incomplete signal or product feature for a universal guarantee. The relevant boundary is that sequential timestamps alone can create key hotspots if row keys are poorly designed. Bigtable optimization depends on access patterns and row-key distribution. Inspect row-key access distribution, read/write load and hotspot evidence.
A distributed table cannot suffer hotspots when it has more than one node. This claim exceeds the evidence and ignores an important risk or operational dependency. The relevant boundary is that sequential timestamps alone can create key hotspots if row keys are poorly designed. Bigtable optimization depends on access patterns and row-key distribution. Inspect row-key access distribution, read/write load and hotspot evidence.