AWS Certified AI Strategist (Beta)
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51 questions in this view
A pharmaceutical company wants to deploy AI-powered solutions to multiple business groups. The company's current governance process requires an 8-week review for all new applications, regardless of risk level. Low-risk applications face unnecessary delays, while high-risk applications receive insufficient scrutiny. The company needs to redesign its governance approach to maintain appropriate oversight while enabling faster deployment for low-risk applications.
Which governance approach will meet these requirements?
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A manufacturing company experiences recurring production issues when materials arrive late. Currently, employees manually adjust schedules by calling suppliers, checking inventory systems, and coordinating with logistics teams. The current process typically takes hours and causes costly delays. The company is evaluating agentic AI and traditional rule-based automation to resolve these issues.
Why will agentic AI provide more value than traditional automation for the company's tasks?
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A financial services company needs to implement an AI system to automatically review incoming transactions. The system must assign each transaction to one of several predefined categories based on labeled historical data. The categories include fraudulent, legitimate, or requires manual review.
Which AI capability does this describe?
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A company deploys an AI assistant to manage internal reference documents. The solution meets all acceptance criteria at launch. Twelve months later, the foundation model (FM) in Amazon Bedrock that the AI assistant uses is deprecated. The company must replace the FM with a new model.
Which piece of guidance for scaling AI solutions does this situation demonstrate?
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A healthcare company deploys an AI scheduling assistant. The assistant reduces appointment scheduling time and increases patient satisfaction. However, the assistant exceeds the company's budgeted inference costs. The CFO must present an updated return on investment (ROI) analysis to the board.
Which approach will assess the AI investment's value MOST comprehensively?
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A bank runs a machine learning (ML) credit risk model. The bank audits the model after a spike in loan defaults. The audit reveals that the model is approving high-risk applicants. Applicants with incomes of 50,000 units in a low-value currency are approved at the same rate as applicants with incomes of 50,000 units in a high-value currency. The two currencies differ significantly in actual purchasing power.
Which data quality issue explains the model's behavior?
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