CMA Category-Manager學習資料 - Category-Manager考古題分享

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Category-Manager學習資料, Category-Manager考古題分享, Category-Manager題庫下載, Category-Manager真題材料, Category-Manager測試引擎

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>> CMA Category-Manager學習資料 <<

Category-Manager考古題分享，Category-Manager題庫下載

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最新的 CMA CPCM Category-Manager 免費考試真題 (Q24-Q29):

問題 #24
What stores would be included in a High Demand/High Opportunity Cluster?

  • A. Stores 101, 103, 106 and 107
  • B. Stores 103 and 107
  • C. Stores 100 and 108
  • D. Stores 100, 103, 107 and 108

答案：B

解題說明：
The correct answer is D .
A High Demand/High Opportunity Cluster should include stores with a clearly high demand index and a positive sales opportunity gap. CMKG explains that store clustering should group stores with similar shoppers, performance, and traits, and that clusters should help retailers target unique local-market demands and manage stores based on opportunity.
Stores 103 and 107 are the only clean match. Store 103 has a Demand Index of 138 and a positive Sales Opportunity Gap of $1,400 . Store 107 has a Demand Index of 142 and a positive Sales Opportunity Gap of
$3,000 . Both are materially above average demand and still have sales upside.
Stores 100 and 108 have high demand, but their opportunity gaps are negative, meaning they are not high- opportunity stores. Store 106 has a positive opportunity gap, but its Demand Index of 107 is only slightly above average and does not fit the "high demand" threshold implied by the answer choices. Store 101 has opportunity, but demand is below average at 92.


問題 #25
What does the Product Demographic Affinity Profile (PDAP) Index measure?

  • A. The strength of a demographic group's preference for a product or category compared to the general population.
  • B. The total sales of a product to all demographic groups.
  • C. The likelihood of a product succeeding in a new market.
  • D. The percentage of a product's sales within a specific region.

答案：A

解題說明：
The correct answer is A .
The Product Demographic Affinity Profile (PDAP) Index measures how strongly a product or category aligns with a demographic group compared with the general population. In store clustering, this is critical because it links product demand to the demographic makeup around each store. ARC's category-specific store clustering guidance identifies PDAP as the step where product sales and total sales by demographic are analyzed to understand product affinity.
Option A is therefore the best answer because it captures the comparative nature of the index: it is not just raw sales; it is the strength of preference relative to the broader population.
Option B is wrong because total sales by demographic does not itself measure affinity. Option C is too broad because product success in a new market would require demand, competition, pricing, distribution, and execution analysis. Option D is regional sales mix, not demographic affinity.


問題 #26
What is the primary purpose of sub-segment fair share analysis?

  • A. To allocate resources equally across all sub-segments.
  • B. To identify the best-selling product in a category.
  • C. To compare a sub-segment's market share with its share of a relevant benchmark to assess performance.
  • D. To determine the profitability of a product or category.

答案：C

解題說明：
The correct answer is B .
Fair share analysis is a relative-performance analysis. CMKG explains that indices compare a result against another relevant reference point or benchmark, and specifically describes Fair Share Index as a way to compare a tactic such as share of shelf, items, promotions, or displays against category share. In category management, the same logic applies to sub-segments: the analyst compares a sub-segment's share against a relevant benchmark to decide whether it is overdeveloped, underdeveloped, or performing at a reasonable level.
Option A is wrong because profitability analysis focuses on margin, profit dollars, or financial return, not fair- share comparison. Option C is wrong because category management does not automatically allocate resources equally; resources should follow shopper demand, strategy, opportunity, and performance. Option D is wrong because identifying the best-selling product is a ranking or sales-volume analysis, not a fair-share analysis.


問題 #27
What is Midtown Mart's share of wallet (SOW) for Category X?

Table shown:

  • A. 60%
  • B. 25%
  • C. 27%
  • D. 75%

答案：D

解題說明：
The correct answer is A .
Share of Wallet measures the portion of a shopper group's total category spending that is captured by the retailer. CMKG describes share of wallet as the percentage of total category dollars spent on the brand or retailer being analyzed.
For Category X , the relevant figures are:
Midtown Mart Shoppers: Dollars - Market = $20,000
Midtown Mart Shoppers: Dollars - Midtown Mart = $15,000
So the calculation is:
$15,000 ÷ $20,000 = 75%
That means Midtown Mart captures 75% of the Category X spending made by Midtown Mart shoppers. The denominator is not all shoppers in the market. The denominator must be the total Category X market spend of Midtown Mart shoppers. That is why option B, C, and D are incorrect. Option C, 25% , incorrectly uses Category X as a share of all grocery market dollars. Option D, 60% , uses $15,000 ÷ $25,000, which compares Midtown Mart's Category X dollars to all shoppers' market dollars and is not the correct SOW denominator.


問題 #28
Which of the following is a key component of the science of assortment planning?

  • A. Future trend speculation
  • B. Shelf space optimization
  • C. Consumer Decision Trees
  • D. Creative packaging design

答案：C

解題說明：
The correct answer is B .
Consumer Decision Trees are a core component of efficient assortment because they structure the category from the shopper's point of view. CMKG states that "understanding the category structure is critical for assortment analysis" and that to understand category structure, "you need to develop a consumer decision tree." It also explains that once the tree is developed, it can be assigned to item-level data to give a consumer perspective of the category.
Option A is wrong because future trends may inform planning, but speculation is not a scientific assortment component. Option C is related to space planning; it can interact with assortment, but it is not the key concept tested here. Option D is product marketing/design work, not assortment analytics. The exam logic is straightforward: efficient assortment starts with shopper-based category structure, and that structure is built through Consumer Decision Trees.


問題 #29
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最實用的Category-Manager認證考試的題目與答案

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