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| Section | Weight | Objectives |
|---|---|---|
| Category Assessment & Strategy | 25% | - Category Definition, Segmentation & Role - Category Health Measurement - Root Cause Analysis & Insight Generation |
| Data Competency & Analysis | 25% | - Shopper Data & Geo-demographic Analysis - POS Data Analytics - Panel Data & Advanced Analytics |
| Business & Supply Chain Knowledge | 15% | - Retailer Economics & Profitability - Supply Chain Principles |
| Professional Standards & Communication | 10% | - Ethics & Legal Implications - Fact-Based Storytelling & Presentation |
| Tactical Planning & Execution | 25% | - Promotional Strategy & Evaluation - Space Management & Store Clustering - Efficient Assortment Development - Pricing Strategy & Analysis |
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質問 # 21
Which of the following purchase behaviors best explains the category performance?
Dollars: +5%
Number of Households: +2%
Trips per Household: -2%
Units per Trip: +3%
Dollars per Unit: +2%
正解：B
解説：
The correct answer is C .
The category dollars increased by +5% . To identify what best explains that performance, compare the listed purchase-behavior drivers. The strongest positive driver shown is Units per Trip at +3% . Number of Households is also positive at +2%, and Dollars per Unit is positive at +2%, but neither is as strong as Units per Trip. Trips per Household is negative at -2% , so it cannot be the best explanation for growth.
CMKG's shopper analytics explanation supports this type of driver analysis. It explains that sales are driven by household purchasing behavior and spending, and gives the formula: Total Number of Buying Households × Spend per Buying Household = Dollar Sales . CMKG further breaks spending into purchase occasions and spend per trip, which is exactly the kind of logic tested in this question.
Option A is wrong because total baskets are not clearly increasing; the household gain is offset by the decline in trips per household. Option B is partially correct but not the strongest driver. Option D is also positive, but
+2% is lower than the +3% gain in units per trip.
質問 # 22
Using the formula for ACV weighted distribution, calculate the ACV for a product available in stores with total sales of $2,000,000 and $3,000,000, in a market where the total sales of all stores are $10,000,000.
正解：C
解説：
The correct answer is C .
The CPCM POS Data course covers scanned sales data and POS measures including distribution analysis. For the calculation itself, ACV Weighted Distribution uses the ACV of the stores carrying the product divided by the total market ACV. NielsenIQ explains the same structure: Total ACV for stores carrying the product ÷ Total ACV for all stores .
The product is available in stores with total sales of:
$2,000,000 + $3,000,000 = $5,000,000
Total market sales of all stores:
$10,000,000
Calculation:
$5,000,000 ÷ $10,000,000 = 0.50 = 50%
Option A is wrong because 30% would only use the $3,000,000 store and ignore the $2,000,000 store. Option B is wrong because the product is not available in all stores. Option D is wrong because 66% does not match the ACV-weighted calculation from the values given.
質問 # 23
What is the best data source to understand how a Retailer is performing in a Category versus their competitors in the market?
正解：B
解説：
The correct answer is D .
The CPCM course identifies Building Data Competency: POS Data as part of the CPCM curriculum and explains that POS data includes retailer and third-party scanned sales data, with trends, sales, profitability, distribution, and shopper insights reviewed in the context of retail POS data.
The phrase "versus their competitors in the market" is the key. A retailer's own POS data shows that retailer's internal sales, but it does not show how competing retailers are performing. Syndicated POS Data aggregates scanned sales across the broader market, so it is the correct source for comparing retailer category performance against competitors.
Option A is wrong because Retailer POS Data is limited to one retailer's own sales. Option B is wrong because Retailer Loyalty Data explains known shopper behavior within that retailer, not market-level competitor performance. Option C is wrong because Syndicated Panel Data is stronger for household/shopper behavior, not scanned sales comparison across retailers.
質問 # 24
What is the primary purpose of Consumer Decision Trees (CDTs) in shelf organization?
正解：A
解説：
The correct answer is A .
Consumer Decision Trees are used to organize the shelf around how shoppers think and shop the category.
CMKG's space-management guidance states: "Use the consumer decision tree for the best layout based on how the Shopper shops the section." That is the cleanest supporting extract for this question. The CDT is not simply a sales-ranking tool; it reflects the shopper's decision hierarchy, such as category, segment, need state, brand, size, flavor, form, or price tier, depending on the category.
Option B is wrong because identifying popular products is a sales-ranking exercise, not the purpose of a CDT.
Option C is closer to assortment simulation or predictive modeling. Option D has some relevance because buying patterns and substitution can inform a CDT, but the best definition is broader: CDTs map the shopper' s decision path through the category.
質問 # 25
The Shelf Space section of the health assessment reveals that a growing segment has a 65 Index in Dollars per Linear Feet versus the category average. What is the right insight?
正解：D
解説：
The correct answer is D .
A 65 Index in Dollars per Linear Foot means the segment is producing only 65% of the category average sales productivity per unit of shelf space . That is below the category benchmark of 100. In shelf-space analysis, dollars per linear foot is a productivity measure: it tells whether the space allocated to a segment is producing enough sales relative to the amount of shelf it occupies.
The CPCM course warns that category managers should not look at numbers in isolation; they must use benchmarks and thresholds to interpret whether business drivers are actually driving sales. The CPCM material states that category health work includes tactical analysis and that thresholds can be used to understand whether business drivers are actually driving sales across tactics.
Because the segment is below average on shelf productivity, the cleanest available insight is to reduce linear shelf space or at minimum challenge the current space allocation. Option B and C are wrong because increasing space for a segment already under-indexing on dollars per linear foot would usually worsen space productivity unless there is additional evidence such as severe out-of-stocks, strategic role, high profit, or future innovation. Option A is weaker because the metric already provides a clear directional shelf-space signal.
質問 # 26
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調査によれば、従業員の一部の新しいメンバーは昇進する機会を求めているが、Category-Manager試験の準備に集中するために断片的な時間とエネルギーを利用する必要があるため、厄介な状況に陥っています。 Category-Manager試験の教材は多くの知識を取り入れており、参照用に利用可能な関連試験バンクを提供します。これは学習習慣に一致し、試験知識の豊富な収穫をもたらします。 Category-Manager試験の質問だけでなく、Category-Manager認定資格を取得することもできます。
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