Which statement about telemetry data management is correct?

• A. Telemetry data should be treated as a discrete event rather than a continuous stream.
• B. Telemetry data must be framed, buffered, and sequenced to preserve timeliness.
• C. Telemetry data does not require ordering.
• D. Telemetry data is unrelated to status information.

Answer: (B)

Telemetry data needs to be delivered in a way that keeps the information current and accurate for decision making. Framing, buffering, and sequencing are essential pieces of that approach.

Framing gives each data unit clear boundaries and context—like a header that says which sensor produced the sample, what its units are, and the exact timestamp. This makes it possible to interpret the data correctly when it arrives.

Buffering helps manage variability in how quickly data can be sent and processed. By storing samples temporarily, the system can smooth out bursts and network jitter, reducing the chance that data is lost or arrives too late to be useful.

Sequencing preserves the true order of samples in time. For status information, knowing the exact chronology of measurements is crucial; out-of-order data can lead to incorrect conclusions about a system’s state or trends.

Because telemetry is about real-time or near-real-time status, framing, buffering, and sequencing together ensure timely, reliable delivery of the data. The other statements don’t fit because telemetry is not purely discrete events, ordering is important, and telemetry is intrinsically related to status information.