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CMA Category-Manager Exam Syllabus Topics:

SectionObjectives
Topic 1: Fact-Based Selling and Storytelling- Communication and Insights
  • 1. Actionable Shopper Insights
  • 2. Storytelling with Fact-Based Insights
  • 3. Category Review Presentation
Topic 2: Assortment and Space Management- Retail Optimization
  • 1. Space Management Fundamentals
  • 2. Geodemographic Data Usage
  • 3. Store Clustering
  • 4. Efficient Assortment Process
Topic 3: Pricing and Promotion Analytics- Commercial Strategy
  • 1. Predictive Analytics
  • 2. Pricing Strategy and Analysis
  • 3. Promotion Analysis Techniques
Topic 4: Shopper and POS Data Analytics- Building Data Competency
  • 1. Panel Data Analysis
  • 2. POS Data Analytics
  • 3. Shopper Data Analytics
Topic 5: Retail Economics and Supply Chain- Business Operations
  • 1. Supply Chain Fundamentals
  • 2. Category Manager Role in Supply Chain
  • 3. Retailer Economics
Topic 6: Category Health and Assessment- Category Performance Evaluation
  • 1. Category Health Assessment
  • 2. Root Cause Analytics
  • 3. Baseline and Incremental Drivers

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CMA Certified Professional Category Manager (CPCM) Sample Questions (Q23-Q28):

NEW QUESTION # 23
Using the chart, what is the most complete insight for Mid-Mart regarding the Snack Category?

Answer: D

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 # 24
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.

Answer: C

Explanation:
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.


NEW QUESTION # 25
What is the primary purpose of a category health assessment in category management?

Answer: B

Explanation:
The correct answer is D .
A category health assessment is not a single pricing, product-ranking, or forecasting exercise. It is a structured review of category performance, using internal and external comparisons to identify what is strong, weak, threatening, or opportunistic. The official CPCM course describes Measuring Category Health as covering how to complete a category health assessment, including "internal and external influences," consumer, trends, economy, competition, and tactics related to winning segments and brands. It also states that SWOT analysis captures the most important "strengths, weaknesses, opportunities and threats" in the category.
Option A is too narrow because pricing is only one category tactic. Option B is only item ranking and does not evaluate overall category health. Option C is too predictive-focused; forecasting can support planning, but category health assessment is broader and includes current performance, benchmarks, competition, tactics, and opportunities.


NEW QUESTION # 26
Which statement best describes the relationship between space and assortment in retail planning?

Answer: C

Explanation:
The correct answer is B .
Space and assortment are interdependent. CMKG directly states that space planning and efficient assortment are both very important and explains that many roles across the organization make decisions affecting product assortment and the shelf. CMKG also warns that planograms and assortment work must consider out-of-stocks, turns, profit, sales, inventory, shopper needs, and retailer strategy.
Option B is the only answer that captures the two-way relationship. Available shelf space can limit how many items, sizes, brands, and segments can fit. At the same time, assortment choices influence how much space must be allocated to each segment, brand, or SKU.
Option A is wrong because assortment cannot be finalized without space constraints. Option C is also wrong because space alone does not determine the assortment; shopper demand, category strategy, item productivity, and role matter. Option D is completely wrong because space planning and assortment planning should not be handled independently.


NEW QUESTION # 27
The simplest form of regression analysis is _____, where the relationship between variables is modeled as a straight line.

Answer: D

Explanation:
The correct answer is A .
Linear regression is the simplest regression form because it models the relationship between variables using a straight line. In pricing analytics, this can be used to estimate how sales, demand, or profit changes as price changes, assuming the relationship can reasonably be represented in linear form. The CPCM pricing analytics material includes correlation and price regression analysis as tools for evaluating historical pricing and projecting future sales and profit at specific price points.
Option B, quantile regression, estimates conditional quantiles rather than the average relationship, so it is more specialized. Option C, polynomial regression, models curved relationships using polynomial terms, so it is not the simplest straight-line model. Option D, decision tree regression, uses branching rules rather than a straight-line equation. The phrase "modeled as a straight line" makes Linear Regression the only correct answer.


NEW QUESTION # 28
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