Which statement best describes real-time telemetry processing?

• A. It aggregates data without generating alerts.
• B. It delivers data and alerts with minimal latency.
• C. It requires manual confirmation before any alert is issued.
• D. It processes data in batch at scheduled intervals.

Answer: (B)

Real-time telemetry processing focuses on ingesting data as it is produced and delivering results and alerts with minimal delay. The aim is to keep operators and systems informed almost immediately so they can detect anomalies, assess current conditions, and act without waiting. This means streaming data continuously, processing it on the fly, and generating alerts as soon as a threshold or condition is met.

Why this fits best: delivering data and alerts with minimal latency embodies the core purpose of real-time telemetry—timely visibility that supports rapid decision-making and response. If you only aggregate data without triggering alerts, you aren’t providing the immediate situational awareness that real-time systems are designed for. Requiring manual confirmation before any alert adds unnecessary delay, undermining immediacy. Processing data in batch at scheduled intervals leaves a lag between when events happen and when they’re surfaced, which is incompatible with real-time monitoring.