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| Section | Weight | Objectives |
|---|---|---|
| Business & Supply Chain Knowledge | 15% | - Retailer Economics & Profitability - Supply Chain Principles |
| Data Competency & Analysis | 25% | - Shopper Data & Geo-demographic Analysis - Panel Data & Advanced Analytics - POS Data Analytics |
| Professional Standards & Communication | 10% | - Ethics & Legal Implications - Fact-Based Storytelling & Presentation |
| Category Assessment & Strategy | 25% | - Category Definition, Segmentation & Role - Category Health Measurement - Root Cause Analysis & Insight Generation |
| Tactical Planning & Execution | 25% | - Efficient Assortment Development - Promotional Strategy & Evaluation - Pricing Strategy & Analysis - Space Management & Store Clustering |
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29. Frage
Which of the following methods is used to collect Shopper Data at the point of sale?
Antwort: A
Begründung:
The correct answer is C because point-of-sale shopper data is generated through checkout scanning activity.
CPCM/CMKG describes POS data as "retail POS data, including retailer and third-party scanned sales data," and explains that the course covers how POS data is derived, key measures, sales, profitability, distribution, and shopper insights.
The phrase "scanning items at checkout" is the key. POS data is created when products are scanned during a retail transaction. When that transaction is tied to a loyalty card, the retailer can connect the basket to a household or shopper profile, which makes it much more useful for shopper analytics.
Option A is wrong because shipping products from manufacturers is supply-chain movement, not shopper data collection. Option B is wrong because online search queries are digital behavior data, not point-of-sale data. Option D is wrong because mobile tracking may show location behavior, but it is not the standard POS collection method tested here.
30. Frage
What is the primary focus of the 'What' section in storytelling?
Antwort: C
Begründung:
The correct answer is B .
In fact-based category storytelling, the "What" section establishes the business situation, opportunity, issue, or insight supported by relevant data. It is not the place to dump every chart or every possible observation.
CMKG explains that fact-based presentations should focus on growth opportunities for the retailer and translate those opportunities into strategies tied to action. It also states that fact-based presentations should use relevant facts that support the presentation purpose, and irrelevant facts or insights should not be included.
Option A is wrong because detailed appendices may support the story, but they are not the primary focus of the "What" section. Option C is wrong because exploratory analysis happens before the story is built; the story presents the selected insight, not every possible analysis path. Option D is exactly the bad practice CMKG warns against: data that distracts from key ideas and opportunities weakens the presentation.
31. Frage
Which phase of analytics uses past data and models to estimate what's likely to happen next?
Antwort: D
Begründung:
The correct answer is A .
Predictive analytics is the analytics phase that uses historical data and models to estimate future outcomes.
The CPCM course explicitly includes predictive analytics as part of advanced category analytics, including regression models, clustering algorithms, collaborative filtering, and time-to-event models. IBM defines predictive analytics as a branch of advanced analytics that makes predictions about future outcomes using historical data, statistical modeling, data mining, and machine learning.
Option C, descriptive analytics, explains what happened in the past. Option D, prescriptive analytics, recommends what action should be taken. Option B, generative, refers to creating new content or outputs and is not the correct analytics phase here. The phrase "what's likely to happen next" is the giveaway: that is predictive analytics.
32. Frage
What is the primary goal of SKU rationalization in supply chain management?
Antwort: A
Begründung:
The correct answer is D .
SKU rationalization is about improving the product mix by removing or consolidating items that create unnecessary complexity without contributing enough value. The CPCM course includes Efficient Assortment and Retailer Economics and the Product Supply Chain , which means assortment decisions are not only shopper-facing; they also affect inventory, operations, cost, and execution. The CMKG supply-chain material states that product supply chain affects "inventory, forecasting, availability, cash flow, service levels, and ultimately the shopper experience." Option D is the only answer that reflects the real supply-chain objective: reduce operational complexity by removing slow-moving, duplicated, or redundant SKUs. Option A is the opposite; adding more products can increase complexity. Option B is too aggressive because high-cost products may still be profitable or strategically important. Option C is too narrow because SKU rationalization is not only about seasonal demand.
33. Frage
Define Share of Wallet (SOW) for a retailer.
Antwort: C
Begründung:
The correct answer is B .
Share of Wallet is a retailer shopper-performance measure. It looks at how much of a shopper's total category spending is captured by one retailer versus competing retailers. The CPCM material places this type of analysis inside consumer/shopper analytics, where household panel data is used to understand consumer behavior and the dynamics that drive category and brand performance. The official CPCM course description states that household panel data helps teams "get a clear picture of consumer behavior" and adjust strategies around the consumer dynamics driving category performance.
Option A describes buyer conversion or shopping conversion, not share of wallet. Option C is incomplete because it only says spending in the marketplace; SOW must identify how much of that spend goes to the specific retailer. Option D is also conversion-based because it focuses on shoppers entering a store and buying in a single trip.
34. Frage
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