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Amazon AIB-C01 Dumps

Amazon AIB-C01 Practice Exam Questions

AWS Certified AI Business Strategist Exam

Total Questions : 99
Update Date : October 30, 2026
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Amazon AIB-C01 Sample Question Answers

Question # 1

A retail executive wants a business intelligence tool that can help non-technical staff ask naturallanguage questions about sales data and generate visual dashboards, in order to more easily communicate the business value being generated by the company's AI initiatives. Which AWS capability is MOST directly suited to this need?

A. Amazon Bedrock, used only for training foundation models from scratch
B. AWS Marketplace, used only for purchasing third-party software licenses
C. AWS Shared Responsibility Model, used only for defining security obligations
D. Amazon Quick, AWS's business intelligence and productivity capability for exploring data and generating insights and dashboards



Question # 2

A finance team wants ongoing visibility into how much the company is spending on AI-related cloud services each month, broken down by project, so they can catch unexpected cost increases early.Which AWS tool is MOST directly suited to this need?A. AWS Cost ExplorerB. Amazon SageMaker AIC. Amazon BedrockD. AWS Cloud Adoption Framework



Question # 3

A subscription media company wants to select a KPI that most directly reflects whether its new AIpowered content recommendation feature is improving the customer experience. Which metric is MOST appropriate for this purpose?

A. The number of engineers who worked on the recommendation feature
B. The total number of foundation models evaluated during development
C. Customer satisfaction, such as a Net Promoter Score (NPS) or satisfaction survey trend, measured before and after the feature's launch
D. The size of the marketing budget for an unrelated advertising campaign



Question # 4

A company deploying a generative AI application built on a foundation model accessed through a managed cloud AI service asks who is responsible for securing the underlying infrastructure versus who is responsible for securing the data and access configurations the company controls. Which concept BEST addresses this division of responsibility?

A. The AWS Shared Responsibility Model, which delineates security and compliance responsibilities between the cloud provider and the customer
B. Model fine-tuning
C. Token limit configuration
D. Seat-based pricing



Question # 5

A telecommunications company implements a policy requiring that any generative AI tool used for business purposes must first be reviewed and added to a centrally maintained, published list before employees may use it, with periodic reviews to keep the list current. Which practice does this scenario BEST represent?

A. Fine-tuning a foundation model on proprietary telecom data
B. Calculating the ROI of a completed AI initiative
C. Establishing and maintaining an approved AI tool governance process to reduce unauthorized AI use
D. Defining a token limit for a customer-facing chatbot



Question # 6

A large enterprise is beginning a multi-year AI transformation and wants a structured framework to assess organizational readiness across business, people, governance, platform, and operations perspectives before committing to a broad AI investment roadmap. Which AWS resource is MOST directly designed to support this kind of structured organizational assessment?

A. AWS Cost Explorer
B. The AWS Cloud Adoption Framework (AWS CAF)
C. Amazon Bedrock
D. AWS Marketplace



Question # 7

A company's compliance function periodically re-evaluates whether a given AI use case still falls into the same risk tier it was originally assigned, particularly after new regulations are introduced in one of its markets. Why is this ongoing re-evaluation important?

A. Because AI risk tiers never need to be reviewed once they are initially assigned
B. Because ongoing re-evaluation eliminates the need for the original risk assessment
C. Because compliance requirements are identical across all countries and markets
D. Because AI risk classification and compliance requirements can change over time as regulations, use case scope, or data sensitivity evolve, and a one-time assessment can become outdated



Question # 8

A company's IT security team wants employees to have a single, clearly published list of generative AI tools that have been reviewed and approved for business use, so employees do not need to seek out unapproved alternatives. What is the PRIMARY business benefit of maintaining this approved AI tool list?

A. It guarantees the company will never have any AI-related risk
B. It eliminates the need for any further AI governance activity
C. It ensures employees never make mistakes when using AI tools
D. It reduces the likelihood of shadow AI by giving employees a clear, sanctioned path to productive AI tools that meet the company's security and governance standards



Question # 9

A startup wants to quickly experiment with several publicly available foundation models to determine which best fits a new generative AI feature, without managing model-hosting infrastructure, while a separate internal team plans to later build and train a fully custom fraud-detection model using its own labeled data. Which pairing of AWS services BEST fits these two distinct needs?

A. Amazon SageMaker AI for foundation model experimentation, and Amazon Bedrock for building the custom fraud-detection model
B. Amazon Bedrock for foundation model experimentation, and Amazon SageMaker AI for building the custom fraud-detection model
C. AWS Cost Explorer for both needs
D. AWS Marketplace for both needs, with no other services required



Question # 10

A bank has successfully piloted an AI-powered document review tool and is preparing for full production rollout. The operations team wants to ensure there is a clear support process, including who to contact and how issues will be resolved if the tool malfunctions during business hours. What is the operations team MOST directly addressing?

A. Model fine-tuning frequency
B. Seat-based pricing negotiations
C. Operational readiness, including support processes needed to run the AI system reliably in production
D. Token limit configuration