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Factory Data Analytics Flashcards

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

Read the first 7 Factory Data Analytics flashcards as text
  1. Which data aggregation method is most appropriate for calculating the average cycle time across multiple production shifts?

    Answer: Apply a weighted average based on units produced per shift

    A weighted average accounts for varying production volumes per shift, giving a more accurate overall cycle time.

  2. In factory analytics, what does the term 'data historian' refer to?

    Answer: A software system that stores time-series industrial data

    A data historian is specialized software that captures and stores time-stamped process data from industrial equipment.

  3. A control chart shows seven consecutive data points all above the center line. This pattern indicates:

    Answer: A potential process shift requiring investigation

    Seven consecutive points on one side of the centerline is a Western Electric run rule signal indicating a non-random process shift.

  4. What is the primary purpose of data normalization in factory analytics pipelines?

    Answer: To scale features to a common range for fair model comparison

    Normalization scales input features to a consistent range so that no single variable dominates model training due to magnitude differences.

  5. Which SQL window function would you use to calculate a 5-minute rolling average of machine temperature readings?

    Answer: AVG() OVER (PARTITION BY ... ORDER BY ... ROWS BETWEEN 4 PRECEDING AND CURRENT ROW)

    The ROWS BETWEEN clause in a window function defines the rolling frame over which the average is computed.

  6. A manufacturer notices that defect rates spike every Monday morning. This is an example of what type of data pattern?

    Answer: Seasonality or cyclical pattern

    A repeating pattern tied to a calendar cycle (weekly in this case) is classified as seasonality or a cyclical pattern.

  7. In the context of SACA factory analytics, what does SCADA stand for?

    Answer: Supervisory Control and Data Acquisition

    SCADA stands for Supervisory Control and Data Acquisition, a system used to monitor and control industrial processes.