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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pl-300-microsoft-power-bi-data-analyst-updated-exam/
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课程名称：PL-300：微软Power BI终极实践测试及PBQ 2025 概述：PL-300：微软Power BI数据分析师助理认证是专业人士展示使用微软Power BI进行数据分析的专门技能的一个备受追捧的证书。这一认证旨在为对数据分析概念有深入理解的个人提升其在Power BI使用中的技能。PL-300认证的关键特点之一是包含的实践考试，有助于考生评估自己是否为官方考试做好准备，并识别需要集中精力学习的领域。通过参加实践考试，考生可以了解官方考试的题型并衡量自己的准备水平。 该实践考试涵盖了与使用Power BI进行数据分析相关的一系列主题，包括数据建模、数据可视化和数据转换。实践考试中的问题旨在测试考生对关键概念的理解及其在实际场景中的应用能力，考生通过参加实践考试可以深入了解自己的优势和劣势，并相应调整学习计划。 除了实践考试，PL-300认证还提供一系列学习材料和资源，帮助考生为官方考试做准备。这些资源可能包括学习指南、练习题和实操实验室，使考生能够在模拟环境中练习。结合实践考试使用这些资源，考生可以增强自信，确保自己为通过官方考试做好充分准备。 微软Power BI数据分析师（PL-300）认证考试详情： - 考试名称：微软认证 - Power BI数据分析师助理 - 考试代码：PL-300 - 考试费用：165美元 - 问题数量：最多40-60个问题 - 问题类型：选择题（单选和多选）、拖放题和基于性能的题目 - 考试时长：180分钟 - 通过分数：700/1000 - 语言：英语、德语和日语 考生需掌握的技能包括： 1. 准备数据（25-30%）： - 从数据源获取数据、连接及更改数据源设置等。 2. 建模数据（25-30%）： - 设计并实现数据模型、定义关系的基数和交叉过滤方向等。 3. 可视化和分析数据（25-30%）： - 创建报告、配置可视化效果、选择合适的视觉组件等。 4. 部署和维护资产（15-20%）： - 创建和管理工作区和资产、配置工作区应用等。 获得微软认证的Power BI数据分析师助理是一项伟大的成就，可以提升职业前景。通过PL-300认证实践考试的帮助为PL-300考试准备，您可以提升技能、增强信心，并提高顺利通过考试的机会。今天就开始您的准备之旅，迈出成为认证微软Power BI数据分析师助理的第一步吧！ 总之，PL-300：微软Power BI数据分析师助理认证是希望展示使用Power BI进行数据分析的专长的专业人士的重要凭证。实践考试是这一认证的关键特征，为考生提供了一种有效的工具，用于评估他们面临的挑战，并增强通过官方考试的可能性。
PL-300: Microsoft Power BI Data Analyst Associate certification is a highly sought-after credential for professionals looking to demonstrate their expertise in using Microsoft Power BI for data analysis. This certification is designed for individuals who have a strong understanding of data analysis concepts and are looking to enhance their skills in using Power BI to analyze and visualize data.One of the key features of the PL-300 certification is the practice exam that is included as part of the preparation process. The practice exam is designed to help candidates assess their readiness for the official exam and identify areas where they may need to focus their study efforts. By taking the practice exam, candidates can get a sense of the types of questions they can expect on the official exam and gauge their level of preparedness.This practice exam for the PL-300 certification covers a range of topics related to using Power BI for data analysis, including data modeling, data visualization, and data transformation. The questions on the practice exam are designed to test candidates' knowledge of key concepts and their ability to apply them in real-world scenarios. By taking the practice exam, candidates can gain valuable insight into their strengths and weaknesses and tailor their study plan accordingly.In addition to the practice exam, the PL-300 certification also includes access to a range of study materials and resources to help candidates prepare for the official exam. These resources may include study guides, practice questions, and hands-on labs that allow candidates to practice their skills in a simulated environment. By using these resources in conjunction with the practice exam, candidates can build their confidence and ensure they are fully prepared to pass the official exam.Microsoft Power BI Data Analyst (PL-300) Certification Practice Exam details:Exam Name: Microsoft Certified - Power BI Data Analyst AssociateExam Code: PL-300Exam Fee $165 (USD)Number of Questions: Maximum of 40-60 questions,Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,Length of Test: 180 Minutes. The exam is available in English, German, and Japanese languages.Passing Score 700 / 1000Languages: English at launch.Schedule Exam: Pearson VUEMicrosoft Power BI Data Analyst (PL-300) Certification Exams skill questions:#) Prepare the data (25-30%)Get data from data sourcesIdentify and connect to a data sourceChange data source settings, including credentials, privacy levels, and data source locationsSelect a shared dataset, or create a local datasetChoose between DirectQuery, Import, and Dual modeChange the value in a parameterClean the dataEvaluate data, including data statistics and column propertiesResolve inconsistencies, unexpected or null values, and data quality issuesResolve data import errorsTransform and load the dataSelect appropriate column data typesCreate and transform columnsTransform a queryDesign a star schema that contains facts and dimensionsIdentify when to use reference or duplicate queries and the resulting impactMerge and append queriesIdentify and create appropriate keys for relationshipsConfigure data loading for queries#) Model the data (25-30%)Design and implement a data modelConfigure table and column propertiesImplement role-playing dimensionsDefine a relationship's cardinality and cross-filter directionCreate a common date tableImplement row-level security rolesCreate model calculations by using DAXCreate single aggregation measuresUse CALCULATE to manipulate filtersImplement time intelligence measuresIdentify implicit measures and replace with explicit measuresUse basic statistical functionsCreate semi-additive measuresCreate a measure by using quick measuresCreate calculated tablesOptimize model performanceImprove performance by identifying and removing unnecessary rows and columnsIdentify poorly performing measures, relationships, and visuals by using Performance AnalyzerImprove performance by choosing optimal data typesImprove performance by summarizing data#) Visualize and analyze the data (25-30%)Create reportsIdentify and implement appropriate visualizationsFormat and configure visualizationsUse a custom visualApply and customize a themeConfigure conditional formattingApply slicing and filteringConfigure the report pageUse the Analyze in Excel featureChoose when to use a paginated reportEnhance reports for usability and storytellingConfigure bookmarksCreate custom tool-tipsEdit and configure interactions between visualsConfigure navigation for a reportApply sortingConfigure sync slicersGroup and layer visuals by using the Selection paneDrill down into data using interactive visualsConfigure export of report content, and perform an exportDesign reports for mobile devicesIncorporate the Q & A feature in a reportIdentify patterns and trendsUse the Analyze feature in Power BIUse grouping, binning, and clusteringUse AI visualsUse reference lines, error bars, and forecastingDetect outliers and anomaliesCreate and share scorecards and metrics#) Deploy and maintain assets (15-20%)Create and manage work-spaces and assetsCreate and configure a workspaceAssign workspace rolesConfigure and update a workspace appPublish, import, or update assets in a workspaceCreate dashboardsChoose a distribution methodApply sensitivity labels to workspace contentConfigure subscriptions and data alertsPromote or certify Power BI contentManage global options for filesManage datasetsIdentify when a gateway is requiredConfigure a dataset scheduled refreshConfigure row-level security group membershipProvide access to datasetsBecoming a Microsoft Certified Power BI Data Analyst Associate is a great accomplishment that can boost your career prospects. By preparing for the PL-300 exam with the help of the PL-300 Certification Practice Exam, you can enhance your skills, increase your confidence, and improve your chances of passing the exam with flying colors. Start your preparation today and take the first step towards becoming a certified Microsoft Power BI Data Analyst Associate!Overall, PL-300: Microsoft Power BI Data Analyst Associate certification is a valuable credential for professionals looking to demonstrate their expertise in using Power BI for data analysis. The practice exam is a key feature of this certification, providing candidates with a valuable tool to assess their readiness for the official exam and identify areas where they may need to focus their study efforts. By taking advantage of the practice exam and other study resources, candidates can increase their chances of passing the official exam and earning this prestigious certification.
