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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dp-100-ms-azure-data-scientist-associate/
课程评论：没有评论
**DP-100: Microsoft Azure 数据科学家实践练习题 2025** **课程概览:** 本课程为准备 Microsoft Azure 数据科学家 (DP-100) 认证考试的学员提供全面且高效的备考工具。课程内容紧跟最新考试大纲，旨在帮助学员熟悉考试内容，检测并提升其在数据科学领域的知识和技能。 **核心内容:** * **数据探索与准备:** 教授如何探索数据、进行数据清洗与转换。 * **模型训练:** 涵盖使用 Azure 机器学习画布（Designer）和自动化机器学习（AutoML）创建和训练模型，以及使用 Notebooks 进行自定义模型训练。 * **模型评估:** 学习评估模型性能，包括负责任的 AI（Responsible AI）指南。 * **模型调优:** 掌握超参数调优技术，以优化模型表现。 * **模型部署:** 指导如何准备模型进行部署，包括将模型部署到在线与批处理终结点。 * **MLOps 实践:** 讲解如何应用机器学习运维（MLOps）实践，实现自动化模型再训练。 **课程特点:** * **最新考试大纲:** 所有题目均依据 DP-100 最新考试内容设计，确保备考的准确性。 * **真实模拟体验:** 题目格式、难度与实际考试高度一致，帮助考生适应考试节奏，减轻考试焦虑。 * **全面知识覆盖:** 涵盖 DP-100 考试所有关键概念和技能，确保考生全面掌握。 * **详细解析:** 提供每道题目的详细正确/错误原因解释，帮助学员巩固理解，识别薄弱环节。 * **性能追踪与分析:** 提供整体得分、各主题和题型表现的数据分析，助力学员精准定位提升方向。 **考试信息:** * **考试名称:** Microsoft Certified: Azure Data Scientist Associate * **考试代码:** DP-100 * **考试语言:** 英语、日语、韩语、简体中文 * **考试形式:** 多项选择、多项回答 * **题目数量:** 40-60 题 (估算) * **考试时长:** 120 分钟 * **通过分数:** 700-1000 分 **考试大纲主题:** 1. **设计和准备机器学习解决方案 (20-25%)** 2. **探索数据和训练模型 (35-40%)** 3. **准备模型进行部署 (20-25%)** 4. **部署和再训练模型 (10-15%)** **总结:** DP-100: Microsoft Azure 数据科学家关联实践练习题是助您成功通过 DP-100 认证考试的宝贵工具。通过逼真的考试模拟、全面的内容覆盖以及详细的反馈分析，本课程能够帮助您建立信心，提高首次通过考试的机率。
DP-100: Microsoft Azure Data Scientist Associate Practice Exam is a comprehensive and highly effective tool for individuals looking to prepare for the DP-100 certification exam. This practice exam is designed to help candidates familiarize themselves with the latest syllabus and test their knowledge and skills in the field of data science.This Practice Exam covers a wide range of topics, including data exploration, data preparation, modeling, and evaluation. By taking this practice exam, candidates can assess their readiness for the actual DP-100 exam and identify areas where they may need to focus their study efforts.One of the key features of the DP-100 practice exam is its adherence to the latest syllabus. The exam questions are carefully curated to reflect the most up-to-date content and requirements of the DP-100 certification exam. This ensures that candidates are well-prepared for the actual exam and have a clear understanding of the topics that will be covered.In addition to aligning with the latest syllabus, the DP-100 practice exam also offers a realistic testing experience. The exam questions are designed to mimic the format and difficulty level of the actual DP-100 exam, giving candidates a true sense of what to expect on test day. This realistic testing experience can help candidates build confidence and reduce test anxiety, leading to better performance on the actual exam.Another key feature of the DP-100 practice exam is its comprehensive coverage of the exam topics. The exam questions are carefully crafted to cover all the key concepts and skills that candidates need to master in order to pass the DP-100 exam. This comprehensive coverage ensures that candidates are well-prepared for any question that may appear on the exam, giving them the best possible chance of success.DP-100 practice exam also offers detailed explanations for each question. After completing the exam, candidates can review their answers and see detailed explanations for why each answer is correct or incorrect. This feedback can help candidates identify areas where they may need to improve and guide their study efforts moving forward.In addition to detailed explanations, the DP-100 practice exam also provides performance tracking and analytics. Candidates can see their overall score, as well as their performance on individual topics and question types. This data can help candidates identify their strengths and weaknesses and focus their study efforts on areas where they need the most improvement.DP-100: Microsoft Azure Data Scientist Associate Practice Exam is a valuable tool for individuals looking to prepare for the DP-100 certification exam. With its realistic testing experience, comprehensive coverage of exam topics, and detailed explanations and performance tracking, this practice exam can help candidates build confidence and improve their chances of passing the DP-100 exam on their first attempt.DP-100: Microsoft Azure Data Scientist Associate Exam Summary:Exam Name: Microsoft Certified - Azure Data Scientist AssociateExam code: DP-100Exam voucher cost: $165 USDExam languages: English, Japanese, Korean, and Simplified ChineseExam format: Multiple-choice, multiple-answerNumber of questions: 40-60 (estimate)Length of exam: 120minutesPassing grade: Score is from 700-1000.DP-100: Microsoft Azure Data Scientist Associate Exam Syllabus Topics:Design and prepare a machine learning solution (20-25%)Explore data and train models (35-40%)Prepare a model for deployment (20-25%)Deploy and retrain a model (10-15%)Design and prepare a machine learning solution (20-25%)Design a machine learning solutionDetermine the appropriate compute specifications for a training workloadDescribe model deployment requirementsSelect which development approach to use to build or train a modelManage an Azure Machine Learning workspaceCreate an Azure Machine Learning workspaceManage a workspace by using developer tools for workspace interactionSet up Git integration for source controlCreate and manage registriesManage data in an Azure Machine Learning workspaceSelect Azure Storage resourcesRegister and maintain datastoresCreate and manage data assetsManage compute for experiments in Azure Machine LearningCreate compute targets for experiments and trainingSelect an environment for a machine learning use caseConfigure attached compute resources, including Apache Spark poolsMonitor compute utilizationExplore data and train models (35-40%)Explore data by using data assets and data storesAccess and wrangle data during interactive developmentWrangle interactive data with Apache SparkCreate models by using the Azure Machine Learning designerCreate a training pipelineConsume data assets from the designerUse custom code components in designerEvaluate the model, including responsible AI guidelinesUse automated machine learning to explore optimal modelsUse automated machine learning for tabular dataUse automated machine learning for computer visionUse automated machine learning for natural language processingSelect and understand training options, including preprocessing and algorithmsEvaluate an automated machine learning run, including responsible AI guidelinesUse notebooks for custom model trainingDevelop code by using a compute instanceTrack model training by using MLflowEvaluate a modelTrain a model by using Python SDKv2Use the terminal to configure a compute instanceTune hyperparameters with Azure Machine LearningSelect a sampling methodDefine the search spaceDefine the primary metricDefine early termination optionsPrepare a model for deployment (20-25%)Run model training scriptsConfigure job run settings for a scriptConfigure compute for a job runConsume data from a data asset in a jobRun a script as a job by using Azure Machine LearningUse MLflow to log metrics from a job runUse logs to troubleshoot job run errorsConfigure an environment for a job runDefine parameters for a jobImplement training pipelinesCreate a pipelinePass data between steps in a pipelineRun and schedule a pipelineMonitor pipeline runsCreate custom componentsUse component-based pipelinesManage models in Azure Machine LearningDescribe MLflow model outputIdentify an appropriate framework to package a modelAssess a model by using responsible AI guidelinesDeploy and retrain a model (10-15%)Deploy a modelConfigure settings for online deploymentConfigure compute for a batch deploymentDeploy a model to an online endpointDeploy a model to a batch endpointTest an online deployed serviceInvoke the batch endpoint to start a batch scoring jobApply machine learning operations (MLOps) practicesTrigger an Azure Machine Learning job, including from Azure DevOps or GitHubAutomate model retraining based on new data additions or data changesDefine event-based retraining triggersOverall, the DP-100: Microsoft Azure Data Scientist Associate Practice Exam is a valuable tool for individuals looking to prepare for the DP-100 certification exam. With its realistic testing experience, comprehensive coverage of exam topics, and detailed explanations and performance tracking, this practice exam can help candidates build confidence and improve their chances of passing the DP-100 exam on their first attempt.
