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Data Collection & Monitoring Flashcards

7 cards from real CMO practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Data Collection & Monitoring flashcards as text
  1. Which sampling strategy collects data at irregular intervals based on triggered events rather than fixed time schedules?

    Answer: Event-driven sampling

    Event-driven sampling captures data when specific conditions or triggers occur, making it efficient for monitoring infrequent but important events.

  2. A mobile data collection app loses network connectivity during a field survey. What is the recommended handling approach?

    Answer: Store data locally and sync when connectivity is restored

    Offline-first design stores data locally on-device and queues it for synchronization once network connectivity is re-established.

  3. In Mobilyze monitoring dashboards, what does a 'stale data' alert typically indicate?

    Answer: No new data has been received within the expected reporting window

    A stale data alert fires when a data source has not reported within its configured freshness threshold, signaling a potential collection interruption.

  4. Which data validation technique flags a record when a numeric sensor reading exceeds three standard deviations from the historical mean?

    Answer: Statistical outlier detection

    Statistical outlier detection uses measures like standard deviation to identify values that are anomalous compared to established historical patterns.

  5. A field operator notices that GPS coordinates recorded during data collection show a consistent 50-meter offset from known locations. This is most likely caused by:

    Answer: GPS datum mismatch between device and base map

    A systematic spatial offset usually results from a coordinate reference system (datum) mismatch between the recording device and the reference layer.

  6. What is the primary purpose of a data collection audit log in a Mobilyze deployment?

    Answer: To record who collected what data and when for accountability and traceability

    Audit logs provide a tamper-evident record of data collection events, enabling accountability, traceability, and compliance verification.

  7. When configuring a monitoring alert threshold, setting the value too close to normal operating levels will most likely result in:

    Answer: Excessive false-positive alerts

    Thresholds set too close to normal operating values generate excessive false positives, causing alert fatigue and reducing operational efficiency.