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AWS Certified AI Practitioner (AIF-C01)

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01
Fundamentals of AI and MLAIF-C01 practice

A team proposes predicting rare equipment failures, but it has no reliable failure outcomes and cannot establish whether its current records represent the operating environment. What is the most appropriate next step?

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02
Fundamentals of GenAIAIF-C01 practice

An assistant supplies a polished answer with a report title and page number. A reviewer cannot find the cited report, and the claim is absent from the supplied evidence. Which limitation is illustrated?

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03
Guidelines for Responsible AIAIF-C01 practice

A complex model is difficult to inspect directly, but a separate method estimates which features influenced a prediction. How should the team describe that result?

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04
Security, Compliance, and Governance for AI SolutionsAIF-C01 practice

A security reviewer needs to investigate which identity called an Amazon Bedrock API operation, when it occurred, and related request metadata. Which service is relevant, with logging configured for that operation's event type?

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05
Applications of Foundation ModelsAIF-C01 practice

An employee assistant must answer from approved procedures that change weekly. The team wants to update the knowledge source without retraining model weights for every edit. Which approach fits?

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06
Applications of Foundation ModelsAIF-C01 practice

A team wants production behavior to use the exact prompt that passed acceptance testing while allowing further edits in development. Which Prompt management approach fits?

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07
Applications of Foundation ModelsAIF-C01 practice

An agent tries to update a support ticket, but the tool returns an error. What should the workflow do before telling the user the ticket was updated?

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08
Security, Compliance, and Governance for AI SolutionsAIF-C01 practice

A team needs to inspect full prompts and responses for supported Bedrock runtime calls in an approved debugging workflow. Which feature directly addresses this content-logging requirement?

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09
Fundamentals of GenAIAIF-C01 practice

Two models meet a document-labeling quality threshold. One is substantially faster and less expensive under the expected load. No additional capability of the larger model is required. Which selection approach is appropriate?

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10
Fundamentals of AI and MLAIF-C01 practice

An operations team receives scanned application forms and needs to extract printed text, key-value pairs, and tables for downstream processing. Which AWS service directly addresses this document-analysis requirement?

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11
Fundamentals of AI and MLAIF-C01 practice

A supported SageMaker AI model processes a 600 MB input file and may take 25 minutes to finish. The application can submit the work and retrieve the result later. Which serving option is designed for this request pattern?

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12
Applications of Foundation ModelsAIF-C01 practice

A team wants a model to map short issue descriptions to its own unusual category names. Which prompt technique shows the desired mapping directly?

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13
Guidelines for Responsible AIAIF-C01 practice

A speech dataset contains clear recordings from one small group, but the application will serve users with varied accents and recording conditions. What should the team improve?

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14
Fundamentals of GenAIAIF-C01 practice

A semantic search application converts support articles into numerical representations so that articles with related meanings can be compared. What does this conversion produce?

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15
Fundamentals of GenAIAIF-C01 practice

A project manager needs a short draft that captures the main decisions from a lengthy meeting transcript. The draft must remain faithful to the transcript and will be reviewed before circulation. Which generative AI task is appropriate?

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