Free Udemy Course: [2025 Practice Exams] AWS Certified AI Practitioner AIF-C01

The AWS Certified AI Practitioner (AIF-C01) practice exam is intended for individuals who are planning to take the exam and get certified. This updated release includes easy, medium, and hard practice sets to support learners at every stage of their AWS AI Practitioner (AIF-C01) prep. It also features a bonus set with 65 additional questions for extra exam readiness.The Practice exam contains 390 unique high-quality real exam like test questions+explanations and validates a individuals’s ability to complete the following tasks:Understand AI, ML, and generative AI concepts, methods, and strategies in general and on AWS.Understand the appropriate use of AI/ML and generative AI technologies to ask relevant questions within the candidate’s organization.Determine the correct types of AI/ML technologies to apply to specific use cases.Use AI, ML, and generative AI technologies responsibly.AI, ML, and generative AI concepts, methods, and strategies in general and on AWS.Sample QuestionWhich AWS service can be used to label training data for supervised machine learning?Option 1 - AWS CodeCommitOption 2 - Amazon SageMaker Ground TruthOption 3 - AWS GlueOption 4 - Amazon RekognitionRecommended AWS knowledgeThe individual should have the following AWS knowledge:Familiarity with the core AWS services (for example, Amazon EC2, Amazon S3, AWS Lambda, and Amazon SageMaker) and AWS core services use casesFamiliarity with the AWS shared responsibility model for security and compliance in the AWS CloudFamiliarity with AWS Identity and Access Management (IAM) for securing and controlling access to AWS resourcesFamiliarity with the AWS global infrastructure, including the concepts of AWS Regions, Availability Zones, and edge locationsFamiliarity with AWS service pricing modelsThe Practice tests has the following content domains and weightings:Domain 1: Fundamentals of AI and ML (20% of scored content)Domain 2: Fundamentals of Generative AI (24% of scored content)Domain 3: Applications of Foundation Models (28% of scored content)Domain 4: Guidelines for Responsible AI (14% of scored content)Domain 5: Security, Compliance, and Governance for AI Solutions (14% of scored content)