Free AIB-C01 – AWS Certified AI Business Strategist Practice Test Question

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Showing 10–12 of 12 questions

Question 10 (Domain 3: AI Governance and Responsible AI Leadership)

Analysts at an investment firm use an AI assistant to summarize company filings. A review finds the assistant has invented revenue figures that do not appear in the source documents, and one such summary reached a client report. Which mitigation is MOST effective for this reliability risk?

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    Ask the assistant to be more careful by adding 'do not invent facts' to its instructions

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    Give the assistant access to more document types so it has broader context

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    Accept occasional invented figures as the cost of the productivity gains

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    Require the assistant to cite the source passage for every figure it reports, and mandate human verification of numbers before they are used in client-facing material

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Question 11 (Domain 4: Business Readiness, Leadership, and AI Transformation)

A national retailer's demand-forecasting pilot performs well in one region but fails when extended to others. Investigation shows each region stores product and sales data in separate systems, using different formats, codes, and definitions for the same products. What is the PRIMARY issue the strategist should identify?

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    Data silos and inconsistent data standards are undermining data readiness for AI at scale

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    The forecasting model is too sophisticated for retail use cases

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    Regional managers lack sufficient AI literacy to interpret forecasts

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    The company does not have enough cloud storage capacity for national data

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Question 12 (Domain 4: Business Readiness, Leadership, and AI Transformation)

At an insurance company, experienced claims adjusters quietly avoid a new AI assessment tool. Mistakes are punished in the current culture, and adjusters feel the tool threatens the professional judgment their identity is built on. Which leadership intervention is MOST likely to increase genuine use?

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    Monitor individual usage statistics and discipline adjusters who fall behind

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    Replace the tool with a simpler one that asks less of adjusters

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    Create a safe environment for experimentation: recognize learning, tolerate early mistakes, and involve adjusters in improving the tool

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    Keep the tool unchanged but give it a new name and relaunch it

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