What are common failure modes in telemetry systems and how can they be mitigated?

• A. Data loss, latency, device miscalibration, authentication failure, and network outages; mitigations include redundancy, robust authentication, offline buffering, and sustained monitoring.
• B. Telemetry systems are always reliable; no failures occur.
• C. Failures happen only in hardware sensors; software is perfect.
• D. The only fix is replacing the entire system after failure.

Answer: (B)

The idea being tested is how to keep telemetry systems functioning in the face of problems by designing for resilience. In real-world telemetry, failures are common because networks vary, devices age, and security threats can disrupt data flow. You learn to expect issues like data loss, delays (latency), sensors drifting out of calibration, authentication problems, and outages in the communication path.

To mitigate these issues, you build in layers of protection. Redundancy means having multiple communication paths or duplicate data sources so that if one path fails, another can carry the data. Offline buffering or store-and-forward lets devices temporarily hold data and forward it when the connection returns, preventing gaps in the data stream. Regular calibration checks and automated drift correction help keep sensor measurements accurate over time. Strong, certificate-based authentication and secure channels prevent unauthorized access and session drops that could interrupt data transmission. Continuous monitoring and alerting catch anomalies early, enabling rapid failover to backup systems or recovery actions, often before a failure fully disrupts operations.

This approach reflects why telemetry systems are designed with resilience in mind: no single component failure should stop the whole system from delivering essential data. The idea that a system would never fail misses these practical protections and the ongoing need to recover gracefully when issues arise.