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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pl-300-exam-microsoft-power-bi-data-analyst-practice-test/
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课程名称：PL-300考试：Microsoft Power BI数据分析师实践测试 课程概述：本课程提供一系列精心设计的实践考试，旨在帮助您为Microsoft PL-300 Microsoft Power BI数据分析师认证考试做好准备。Microsoft Power BI数据分析师（PL-300）认证考试的详细信息如下： - 考试名称：Microsoft Certified - Power BI数据分析师助理 - 考试代码：PL-300 - 考试费用：165美元 - 题目数量：最多40-60题 - 题型：单选题和多选题、拖拽题及基于性能的题目 - 考试时长：180分钟 - 语言：英语、德语和日语 - 及格分数：700/1000 - 考试预约：Pearson VUE Microsoft Power BI数据分析师（PL-300）考核的技能包括： 1. 数据准备（25-30%） - 从数据源获取数据、连接和配置数据源 - 数据清理和转换 - 设计数据模型，创建和转换列 2. 数据建模（25-30%） - 设计和实施数据模型，配置表和列属性 - DAX计算、角色扮演维度及安全角色的实施 3. 数据可视化和分析（25-30%） - 创建报告、实施合适的可视化 - 配置报告页面、切片和过滤器等 4. 部署和维护资产（15-20%） - 创建和管理工作区、配置和更新工作区应用 - 管理数据集、分发内容及配置订阅和数据警报 我们祝愿您在学习过程中取得成功，并在即将到来的Microsoft PL-300认证考试中顺利通过。加入我们的课程，提升您的成功机会！
Here is a great set of practice exams that have been carefully designed to help you get ready for the Microsoft PL-300 Microsoft Power BI Data Analyst certification 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) Skills measured1) 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 queries2) 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 data3) 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 metrics4) 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 datasetsWe would like to wish you well on your learning path and in the upcoming Microsoft PL-300 certification exam. Come along in the course with us to raise your chances of success!
