Which mitigations best address data loss and network outages in telemetry systems?

• A. Increase data collection without redundancy.
• B. Rely solely on cloud backups.
• C. Implement redundancy, robust authentication, offline buffering, and ongoing monitoring.
• D. Remove security controls to speed up data flow.

Answer: (D)

Ensuring telemetry data survives outages requires building resilience into every step of the data path. Implementing redundancy so there are multiple paths and copies of data means a single failure won’t wipe out information. Offline buffering at the edge lets devices store data locally during network outages and then transmit it when connectivity returns, preventing data loss. Robust authentication helps maintain data integrity and secure, reliable transmissions, ensuring that retried or buffered data isn’t corrupted or hijacked. Ongoing monitoring provides visibility into data gaps, latency, and outages, triggering automatic failover, alerts, and quick recovery actions.

Why the other ideas don’t fit: increasing data collection without redundancy can flood systems and still lose data if the single path fails; relying only on cloud backups may miss outages that affect connectivity to the cloud or cloud availability itself; removing security controls would jeopardize data integrity and trust, making outages and data loss more likely rather than less.

So the strongest approach combines redundancy, offline buffering, robust authentication, and continuous monitoring to reduce data loss and sustain operation during network outages.