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AIF-C01 workspace

Detailed Explanations

A detailed answer review with side-by-side rationale, distractor analysis, related questions, and weak-topic practice.

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AIF-C01 catalog review

Translate business objectives into Data Science, ML, and AI solutions

Correct: A
Your answer Not answered Answer this in practice or the daily question to sync here.
Correct answer A Predict item-location demand over the replenishment horizon
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A retailer wants to reduce stockouts by 20% next quarter. Which analytical goal best supports that objective?

A Predict item-location demand over the replenishment horizon
B Cluster product names by character length
C Generate advertising slogans for every item
D Describe last year's office supply expenses
1. Answer captured 2. Key checked 3. Rationale review 4. Retry weak topic

Detailed explanation

Catalog rationale

Correct answer: A

Translate the business outcome into a measurable decision, prediction target, time horizon, unit of analysis, and success criterion.

Key concept Translate business objectives into Data Science, ML, and AI solutions

IBM Certified watsonx Data Scientist - Associate - C1000-177

Exam tip Map the requirement to the managed IBM capability.

Eliminate services that solve infrastructure, data movement, or routing when the stem asks for AI model access or governance.

IBM service references

02 IBM Certified watsonx Data Scientist - Associate - C1000-177 01 Evaluate the Business Problem 01 Translate business objectives into Data Science, ML, and AI solutions IBM Certified watsonx Data Scientist - Associate - C1000-177

Why the wrong answers are wrong

B

Incorrect. Name-length clusters do not address inventory demand.

C

Incorrect. Advertising text does not directly support replenishment.

D

Incorrect. Unrelated expense reporting does not reduce stockouts.