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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-certified-ai-practitioner-latest-practice-exam/
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课程名称：[2025实践考试] AWS认证AI从业者 AIF-C01 课程概述： AWS认证AI从业者(AIF-C01)的实践考试旨在为准备参加考试并获取认证的个人提供支持。此次更新的课程包含易、中、难三个级别的练习题，适合不同阶段的学习者。此外，还提供了一个包含65道额外问题的附加题组，以增强考生的备考准备。实践考试共计390道独特的高质量、真实考试风格的测试题及其解释，验证个人完成以下任务的能力：理解AI、机器学习(ML)和生成性AI的概念、方法和策略，尤其是在AWS环境中的应用；理解在候选人组织内合理使用AI/ML和生成性AI技术以提出相关问题；确定适合特定用例的AI/ML技术类型；负责任地使用AI、ML及生成性AI技术。 样题示例： 哪项AWS服务可用于标记监督机器学习的训练数据？ 选项1 - AWS CodeCommit 选项2 - Amazon SageMaker Ground Truth 选项3 - AWS Glue 选项4 - Amazon Rekognition 推荐的AWS知识： 参加者应具备以下AWS知识： - 熟悉核心AWS服务（如Amazon EC2、Amazon S3、AWS Lambda和Amazon SageMaker）及其用例。 - 理解AWS共享责任模型在安全和合规方面的应用。 - 熟悉AWS身份与访问管理(IAM)，以保障AWS资源的安全和控制访问。 - 理解AWS全球基础设施，包括AWS区域、可用区和边缘位置的概念。 - 熟悉AWS服务定价模型。 实践测试的内容领域及权重： - 领域1：AI和ML基础知识（占评分内容的20%） - 领域2：生成性AI基础（占评分内容的24%） - 领域3：基础模型应用（占评分内容的28%） - 领域4：负责任的AI指南（占评分内容的14%） - 领域5：AI解决方案的安全、合规性和治理（占评分内容的14%）
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)
