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All rights reserved.  \nT N C 1 0 3  \nExam Prep: AWS Certified AI Practitioner  \nFrank Spiess  \n(he/him)  \nSenior Technical Instructor AWS  \n© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.  \nPrepare for your certification exam with confidence  \nGet to know the exam with examstyle questions.  \nRefresh your AWS knowledge and skills.  \n© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.  \nReview and practice for your exam.  \nAssess your exam readiness.  \n[skillbuilder.aws/\\#prepare-for-exam](skillbuilder.aws/#prepare-for-exam)  \nAWS Certified AI Practitioner (AIFC01) Official Practice Question Set  \n© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.  \nExam Overview  \n\n| Domain 5: S Compliance,\u003Cbr>Governance Solutio 14%\u003Cbr>Domain 4: Guidelines for Responsible AI 14%\u003Cbr>Domain Applicatio\u003Cbr>Foundation M 28% | \u003Cbr>ecurity, and\u003Cbr>for AI\u003Cbr>ns\u003Cbr>Dom Fundam AI an 20\u003Cbr>F\u003Cbr>3: n of\u003Cbr>odels | ain 1: entals of d ML %\u003Cbr>Domain 2: undamentals of\u003Cbr>Generative AI 24% |\n| --- | --- | --- |\n\nScan to download the PDF of the exam guide  \n© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.  \nDomain 1  \nFundamentals of AI and ML  \n© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.  \nDomain 1: Fundamentals of AI and ML  \n1.1 Explain basic AI concepts and terminologies.  \n1.2 Identify practical use cases for AI.  \n1.3 Describe the ML development lifecycle.  \n© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.  \nTask Statement 1.3  \nDescribe the ML development lifecycle.  \n© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.  \nQuestion  \nA data science team wants to improve a model's performance. The data science team wants to increase the number of variables in the training dataset and modify the behavior of the algorithm.  \nWhich combination of ML pipeline steps will meet these requirements?(Select TWO.)  \n© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.  \nKeywords  \nA data science team wants to improve a model's performance. The data science team wants to increase the number of variables in the training dataset and modify the behavior of the algorithm.  \nWhich combination of ML pipeline steps will meet these requirements?(Select TWO.)  \n© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.","cbCaioppWmxTa9nX","https://ap.wps.com/l/cbCaioppWmxTa9nX","pdf",1012615,51,"English","# Exam Overview\n## Domain 1: Fundamentals of AI and ML\n### 1.1 Explain basic AI concepts and terminologies\n### 1.2 Identify practical use cases for AI\n### 1.3 Describe the ML development lifecycle\n# Practice Question (Select TWO)","[{\"question\":\"What certification does this exam prep material target?\",\"answer\":\"It targets the AWS Certified AI Practitioner certification, labeled AIFC01.\"},{\"question\":\"What topics are covered in Domain 1?\",\"answer\":\"Domain 1 covers fundamentals of AI and ML, including basic AI concepts and terminology, practical AI use cases, and the ML development lifecycle.\"},{\"question\":\"How does the practice question assess ML pipeline understanding?\",\"answer\":\"It asks which two combinations of ML pipeline steps meet requirements to improve model performance by increasing training dataset variables and modifying algorithm behavior.\"}]","TNC103-Hamburg-EN - Exam Prep: AWS Certified AI Practitioner | PDF",1789932396,129]