Exam Details

  • Exam Code
    :CPIM-MPR
  • Exam Name
    :CIPM - Master Planning of Resources
  • Certification
    :APICS Certifications
  • Vendor
    :APICS
  • Total Questions
    :588 Q&As
  • Last Updated
    :Jul 11, 2025

APICS APICS Certifications CPIM-MPR Questions & Answers

  • Question 221:

    demand or lead time. is held to cover random unpredictable variations in supply and

    A. Safety stock

    B. Variant stock

    C. Anticipatory change inventory

    D. Random contemporary stock

  • Question 222:

    Raw materials that have entered the manufacturing process and are being worked on or waiting to be worked on, are:

    A. Waiting-process

    B. Work-in-process

    C. Coming up-process

    D. Future-process

  • Question 223:

    The tracking signal can be calculated as:

    A. Tracking signal = cumulative sum of forecast errors + MAD

    B. Tracking signal = algebraic sum of forecast orders / MAD

    C. Tracking signal = cumulative sum of forecast errors * MAD

    D. Tracking signal = algebraic sum of forecast errors / MAD where MAD = Mean Absolute Deviation

  • Question 224:

    What are purchased items received that have not entered the production process?

    A. Raw materials

    B. Untreated materials

    C. Basic stuff

    D. Synthetic materials

  • Question 225:

    A tracking signal can be used to monitor the quality of forecast.

    A. True

    B. False

  • Question 226:

    A graph of the number of times (frequency) actual demand is of a particular value produces a bell- shaped curve, this distribution is called:

    A. Normal distribution

    B. Bell-shaped distribution

    C. U-shaped distribution

    D. Abnormal distribution

  • Question 227:

    When in a given period, actual demand will vary about the average demand, this is called:

    A. Fixed variation

    B. Forecast variation

    C. Random variation

    D. Possible average variation

  • Question 228:

    The formula to calculate the Mean Absolute Deviation (MAD) is:

    A. MAD = (sum of mean deviations / number of facts)

    B. MAD = (sum of absolute deviations / number of observations)

    C. MAD = (sum of random deviations / number of average observations)

    D. MAD = (sum of absolute deviations / number of average forecasts)

  • Question 229:

    exists when the cumulative actual demand varies from the cumulative forecast.

    A. Bias

    B. seasonal index

    C. Actual forecast

    D. Stable demand

  • Question 230:

    What is the rule for forecasting with seasonality?

    A. Only use deseasonalized data to forecast.

    B. Forecast deseasonalized demand, not seasonal demand

    C. Calculate the seasonal forecast by applying the seasonal index to the base forecast.

    D. All of the above

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