Category Management Association (CMA) Category-Manager Exam With Confidence Using Practice Dumps

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.

The correct answer is D .

A planogram is not just a shelf-placement picture. CMKG states that planograms require accurate product dimensions, UPC codes, live images, fixture dimensions, shelf measurements, shopper decision trees, store clusters, shelving standards, and product data such as unit movement, unit price, and unit cost. CMKG also explains that effective planograms connect to the product supply chain, including authorized product distribution lists and shelf-capacity data used by ordering systems.

That makes option D the most complete answer. Planograms support supply chain by providing shelf capacity and replenishment inputs. They support shopper experience by organizing the shelf around how shoppers shop. They support in-store execution by giving stores the layout to implement.

Option A is too narrow because buying teams may use planogram data, but purchase orders are not the main purpose. Option B is true but incomplete. Option C is indirectly true, but shoppers do not “use” planograms in the same way internal stakeholders do.

The correct answer is B .

The CPCM POS Data Analytics area is built around using scanned sales data, key measures, and distribution/performance definitions to interpret category performance. The CPCM course outline states that the POS Data course covers “retail POS data, including retailer and third-party scanned sales data” and introduces “key measures and definitions.”

Fair Share Analysis is one of those relative-performance concepts. It compares actual performance against what the business should reasonably capture based on a benchmark, such as ACV share, market share, distribution share, shelf share, or another relevant opportunity base. CMKG explains that Fair Share Index compares a brand’s or segment’s share of a tactic against its dollar share, making it a benchmark for whether support or performance is proportional to the opportunity.

Option A is wrong because fair share is not simply about equal growth. Option C describes year-over-year performance comparison, not fair share. Option D is too vague and incorrectly implies sales should be evenly distributed. Fair share does not mean equal share; it means expected share relative to a relevant benchmark.