CMA Category-Manager日本語対策問題集、Category-Manager試験勉強書

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CMA Category-Manager Exam Syllabus Topics:

SectionObjectives
Assortment and Space Management- Retail Optimization
  • 1. Space Management Fundamentals
  • 2. Store Clustering
  • 3. Efficient Assortment Process
  • 4. Geodemographic Data Usage
Category Health and Assessment- Category Performance Evaluation
  • 1. Category Health Assessment
  • 2. Baseline and Incremental Drivers
  • 3. Root Cause Analytics
Retail Economics and Supply Chain- Business Operations
  • 1. Retailer Economics
  • 2. Category Manager Role in Supply Chain
  • 3. Supply Chain Fundamentals
Shopper and POS Data Analytics- Building Data Competency
  • 1. Panel Data Analysis
  • 2. POS Data Analytics
  • 3. Shopper Data Analytics
Pricing and Promotion Analytics- Commercial Strategy
  • 1. Predictive Analytics
  • 2. Promotion Analysis Techniques
  • 3. Pricing Strategy and Analysis
Fact-Based Selling and Storytelling- Communication and Insights
  • 1. Category Review Presentation
  • 2. Storytelling with Fact-Based Insights
  • 3. Actionable Shopper Insights

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CMA Certified Professional Category Manager (CPCM) 認定 Category-Manager 試験問題 (Q28-Q33):

質問 # 28
Which of the following is an effective technique for creating compelling stories using data and analytics in category management?

正解:A

解説:
The correct answer is B .
A compelling fact-based category story is concise, relevant, and persuasive. CMKG's guidance is direct: fact- based presentations should use only relevant facts that support the presentation purpose, and each slide should have a clear purpose, be easy to understand, and include only insights that are compelling for the audience.
Option A is wrong because adding more data does not make a story stronger; it often creates noise. Option C is wrong because technical detail alone does not persuade a buyer or decision-maker. Option D is wrong because visuals without context do not create a story. Category storytelling requires the analyst to connect the facts to the business opportunity, explain why it matters, and identify the action. CMKG describes fact-based skills as going beyond analytics; they are about selling the action and opportunity to internal or external buyers.


質問 # 29
What is the best data source to understand how a Retailer is performing in a Category versus their competitors in the market?

正解:C

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 # 30
What is the primary role of POS data in category management?

正解:D

解説:
The correct answer is D .
The CPCM course states that, at the intermediate level, category managers need to go deeper into data, draw insights from it, understand the category, and keep the shopper and shopper needs in mind. It also explains that once opportunities are identified, category tactics such as assortment, space, pricing, and promotion create action for the category. The CPCM POS Data course specifically includes scanned sales data, trends, out-of-stocks, sales, profitability, distribution, and shopper insights.
That makes option D the only complete answer. POS data is used to understand category performance and support decisions. It is not mainly a checkout employee-monitoring tool, so option A is wrong. It may contribute to out-of-stock or inventory-related analysis, but option B is too narrow. Option C is wrong because POS data does not predict future consumer trends by itself; prediction requires analysis, modeling, context, and interpretation.


質問 # 31
Which factor primarily influences how much room is available for a retail assortment?

正解:C

解説:
The correct answer is D .
In space planning, the real shelf constraint is not just how many SKUs the team wants. It is whether those SKUs can physically fit while supporting replenishment needs. Days of supply and case pack requirements influence how many facings and how much shelf capacity an item needs. Oracle's assortment and space optimization documentation explains that optimized assortment and placement use available space, product dimensions, expected demand, replenishment schedules, service levels, merchandising rules, and category goals.
This matches the exam logic: a product that needs more days of supply or must hold a full case pack requires more room. That limits how much assortment can realistically fit on the shelf.
Option A is wrong because shopper count affects demand, not the physical room available. Option B influences strategic assortment choices, but it does not directly determine shelf capacity. Option C is an output or planning decision; the number of SKUs must be constrained by space, case pack, and supply requirements.


質問 # 32
Product-based segmentation involves categorizing products into distinct groups, which of the following is NOT used as typical attribute for consideration?

正解:B

解説:
The correct answer is C .
Product-based segmentation groups products by characteristics that describe the product itself or the way shoppers use it. Typical attributes include price range , product type , pack size, flavor/form, usage occasion, consumer need state, or product role within the category. These attributes help category managers understand how products compete, substitute, complement one another, and serve shopper needs.
The CPCM course emphasizes moving beyond basic sales reporting into deeper data analysis and tactical interpretation. It states that category managers must "dive deeper into your data and draw insights from it," including tactical analysis that helps them understand the category and shopper needs.
Option C, Advertising Dollars , is not a normal product-segmentation attribute. Advertising spend is a marketing investment or support variable. It may help explain why a product is growing or declining, but it does not define the product segment itself. Option A is valid because price tiers are commonly used for segmentation. Option B is valid because consumer usage or usage occasion can define product groupings.
Option D is valid because product type is one of the most basic ways to segment a category.


質問 # 33
......

ソフトウェアバージョンは、Category-Manager試験準備の3つのバージョンの1つです。ソフトウェアバージョンには、他のバージョンとは異なる多くの機能があります。一方、Category-Managerテスト問題のソフトウェアバージョンは、すべてのユーザーの実際の試験をシミュレートできます。テスト環境を実際にシミュレートすることにより、学習コースで自己欠陥を学び、修正する機会が得られます。一方、オペレーティングシステムでCategory-Managerトレーニングガイドのソフトウェアバージョンを適用することはできますが。

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