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CMA Category-Manager Exam Syllabus Topics:

SectionObjectives
Topic 1: Category Management Foundations- Category management principles and framework
  • 1. Category roles and strategies
    • 2. Category definition and segmentation
      Topic 2: Shopper and Retail Insights- Behavioral and shopper analytics
      • 1. Shopper behavior interpretation
        • 2. Retail economics and profitability
          Topic 3: Execution and Business Planning- Category execution and collaboration
          • 1. Joint business planning
            • 2. Category reviews and planning
              Topic 4: Category Strategy Development- Strategic category planning
              • 1. Promotion effectiveness analysis
                • 2. Pricing strategy analysis
                  • 3. Assortment optimization
                    Topic 5: Data and Analytics- Retail and shopper data analysis
                    • 1. POS data interpretation
                      • 2. Panel and syndicated data usage
                        • 3. Category performance diagnostics

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                          The CMA Category-Manager certification topics or syllabus are updated with the passage of time. To pass the CMA Certified Professional Category Manager (CPCM) exam you have to know these topics. The Free4Torrent Category-Manager certification exam trainers always work on these topics and add their appropriate CMA Category-Manager Exam Questions And Answers in the Category-Manager exam dumps. These latest CMA Certified Professional Category Manager (CPCM) exam topics are added in all CMA Certified Professional Category Manager (CPCM) exam questions formats.

                          CMA Certified Professional Category Manager (CPCM) Sample Questions (Q46-Q51):

                          NEW QUESTION # 46
                          What is the Dollar Sales per $MMACV for the Product Group in Store 478?

                          Answer: D

                          Explanation:
                          The correct answer is D .
                          Dollar Sales per $MMACV measures sales productivity normalized by store or market selling power. CPG Data Insights defines Sales per $MM ACV as a velocity measure calculated by dividing sales by the market's All Commodity Volume expressed in millions, and explains that it helps compare productivity across markets, retailers, or products with different distribution levels.
                          For Store 478 :
                          Product Group Actual Dollar Sales = $10,000
                          Store 478 ACV $ Sales = $2,000,000
                          ACV expressed in millions = $2,000,000 ÷ $1,000,000 = 2
                          Calculation:
                          $10,000 ÷ 2 = $5,000
                          So the Dollar Sales per $MMACV for the Product Group in Store 478 is $5,000 .
                          Option C, $4,000, is the total-store benchmark calculation: $400,000 ÷ 100 = $4,000. The question asks specifically for Store 478 , not the total store benchmark.


                          NEW QUESTION # 47
                          The best Predictive Analytic tools use which of the following? Select the best answer.

                          Answer: B

                          Explanation:
                          The correct answer is A .
                          The CPCM course states that moving into advanced category analytics includes predictive analytics, specifically naming collaborative filtering, clustering algorithms, regression models, and time-to-event models. Those methods require historical data, statistical modeling, and machine-learning-style pattern recognition. IBM defines predictive analytics as predicting future outcomes by using historical data combined with statistical modeling, data mining techniques, and machine learning.
                          Option A is the most complete answer because predictive analytics needs all three: historical data to learn from, statistical models to quantify relationships, and machine learning to detect patterns and improve prediction. Option B omits machine learning. Option C omits statistical models. Option D omits historical data, which is the base input for predictive analytics.


                          NEW QUESTION # 48
                          Which of the following methods is used to collect Shopper Data at the point of sale?

                          Answer: D


                          NEW QUESTION # 49
                          Using the chart, what is the most complete insight for Mid-Mart regarding the Snack Category?

                          Answer: C

                          Explanation:
                          The correct answer is A .
                          The CPCM course emphasizes turning data into insights and then into action. It states that category managers must draw insights from data, understand tactical analysis, and identify category opportunities that can be acted on through category tactics. This question is testing exactly that: not just calculating the gap, but identifying the gap, the source of the gap, and the dollar opportunity.
                          From the chart:
                          Mid-Mart ACV share = 25.0%
                          Mid-Mart Snack share = 20.0%
                          So Mid-Mart is:
                          25.0% - 20.0% = 5.0 points behind Total Store
                          The total Snack market is $200,000 . If Mid-Mart achieved its fair share of Snacks based on its 25% Total Store ACV share, expected Snack sales would be:
                          $200,000 × 25% = $50,000
                          Actual Mid-Mart Snack sales are:
                          $40,000
                          So the opportunity is:
                          $50,000 - $40,000 = $10,000
                          The driver is the Club Channel , because Club has 25% ACV share but 30% Snack share. Club is 5 points over fair share, while AO Grocery is exactly aligned at 50% ACV share and 50% Snack share. Therefore, the most complete insight is that Mid-Mart is 5.0 points behind Total Store, the gap is driven by the Club Channel, and the opportunity is $10,000.


                          NEW QUESTION # 50
                          There are 4 chains in the Market, What is the ACV Weighted Distribution for Item A within that Market?
                          Chain A: Distribution of Item A = Yes, Total Store ACV = $1,000,000
                          Chain B: Distribution of Item A = No, Total Store ACV = $2,000,000
                          Chain C: Distribution of Item A = Yes, Total Store ACV = $2,000,000
                          Chain D: Distribution of Item A = Yes, Total Store ACV = $1,000,000

                          Answer: D

                          Explanation:
                          The correct answer is A .
                          The CPCM POS Data course covers retail and third-party scanned sales data and introduces key POS measures and definitions, including distribution-related analysis. ACV Weighted Distribution is calculated by dividing the ACV of stores carrying the product by the total ACV of all stores in the market; Circana defines Percent ACV Distribution the same way, as weighted distribution based on the total sales volume of carrying stores compared with all possible stores.
                          For Item A, the chains carrying the item are:
                          Chain A = $1,000,000
                          Chain C = $2,000,000
                          Chain D = $1,000,000
                          Total ACV where Item A is distributed = $4,000,000
                          Total Market ACV = $1,000,000 + $2,000,000 + $2,000,000 + $1,000,000 = $6,000,000 Calculation:
                          $4,000,000 ÷ $6,000,000 = 66.7%, rounded to 67%
                          Option D, 75%, is the unweighted numeric distribution because Item A is in 3 of 4 chains. That ignores ACV size, so it is not ACV Weighted Distribution. Option B and C are dollar values, not percentages.


                          NEW QUESTION # 51
                          ......

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