|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-machine-learning-specialty-2021-practice-tests/
课程评论：没有评论
**Coursera 课程：AWS 机器学习专业 2022 - 模拟测试 总结** 本课程是为准备 AWS 机器学习专业认证考试的学习者量身定制的。该考试被认为是 AWS 认证中最具挑战性的考试之一，涵盖多层面的知识和技能。 **课程亮点：** * **专家团队精心设计：** 由 AWS 专家团队精心设计的共计 130 道题目，包括 2 套完整的模拟练习测试。 * **真实考试的模拟：** 题目结构与真实 AWS 考试一致，旨在帮助您评估和提升考试准备水平。 * **全面的知识领域覆盖：** * 数据工程 * 探索性数据分析 (EDA) * 建模 * 机器学习实施与运营 * **详细的答案解析：** 所有题目均提供详细的答案解释，帮助您深入理解考点，识别和弥补知识盲区。 * **提升信心：** 通过模拟测试，您可以更准确地评估自己的 readiness，并在考试中表现得更加自信。 **您将学到：** * AWS 机器学习专业认证考试的全面准备。 * 规划和优化您的考试时间。 * 识别和纠正知识上的差距。 * 进行自我评估，了解学习成果。 * 掌握在真实考试环境下所需的面对应试策略。 **课程先修要求：** * 掌握各种核心 AWS 服务及其相互作用的知识。 * 熟悉机器学习算法及其在 Amazon SageMaker 中的实现。 * 具备探索性数据分析 (EDA) 能力。 * 了解数据准备和特征工程。 * 熟悉建模和评估技术。 * 了解 AWS 安全实践。 本课程是您在 AWS 机器学习专业认证考试之路上的重要助力，帮助您更充分地准备，并在考试中取得佳绩。
Greetings! Congratulations on deciding to take a step towards learning and getting certified in AWS Machine Learning Specialty. It is one of the toughest AWS certification exams, it tests you on multiple levels. You need to be really well trained to crack this in first shot. Here, we, a group of AWS experts have curated a total of 130 questions - 2 Full Length Practice tests with the same breakdown of the real AWS exam(with answer explanations to all questions). It is always good to take a few practice tests before appearing on the real exam, so you know your level of readiness. Data EngineeringExploratory Data AnalysisModelingMachine Learning Implementation and OperationsWe hope you put same efforts and seriousness attending these questions as if you are attending the real exam, as you will see similar questions in the exam. This score could more or less reflect what would be your score in the real exam. Buy this test to get more confidence as you appear in the exam hall. All the best! What you will learn: AWS Machine Learning Specialty Certification exam preparationPlan and perfect your timingIdentify and rectify knowledge gapsSelf-evaluationMaterial ReadinessAnswer explanations to all questionsCourse requirements or prerequisites:Knowledge of various AWS essential services and their interactionMachine Learning Algorithms and Implementation in SagemakerExploratory Data AnalysisData Preparation and Feature EngineeringModeling and EvaluationAWS Security Practices
