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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-test-exam-prep/
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课程名称：PL-300考试：微软Power BI数据分析师实践测试 课程概述：微软Power BI近年来成为最受欢迎的数据可视化和商业智能工具之一。作为数据分析师，掌握此工具对于有效分析和可视化数据至关重要。PL-300实践测试旨在帮助数据分析师备考微软认证考试，以展示其在Power BI方面的熟练程度。 PL-300实践测试的主要好处之一是，它们使数据分析师能够以有结构和全面的方式评估自己在Power BI方面的知识和技能。测试涵盖了与Power BI相关的广泛主题，包括数据建模、可视化和DAX计算。通过参加这些测试，分析师能够识别需要改进的领域，从而有针对性地进行复习。 此外，PL-300实践测试还帮助分析师熟悉微软认证考试的格式和可能出现的题型，这可以增强他们的信心，提高首轮考试的通过率。完成每个测试后，分析师可以查看自己的答案，识别正确和错误的题目，从而帮助他们从错误中学习，加深对Power BI概念的理解。 通过持续参加PL-300实践测试，数据分析师可以跟踪自己的进步，看到自己的Power BI技能如何随时间提高，这对其学习目标的坚持有着极大的激励作用。此外，分数的提升可以增强他们的信心，让他们在参加微软认证考试时感到更加准备。 微软Power BI数据分析师（PL-300）认证考试的相关信息包括： - 考试名称：Microsoft Certified - Power BI Data Analyst Associate - 考试代码：PL-300 - 考试费用：165美元 - 题目数量：最多40-60道，题型包括单选题、多选题、拖拽题和基于性能的题 - 考试时长：180分钟 - 通过分数：700分/1000分 - 语言支持：英语、德语和日语 考试内容涵盖以下领域： - 数据准备（25-30%） - 数据建模（25-30%） - 数据可视化与分析（25-30%） - Power BI的管理与安全（15-20%） 总之，PL-300：微软Power BI数据分析师实践测试是希望提升Power BI技能并准备微软认证考试的数据分析师的宝贵资源。这些测试帮助分析师识别改进领域，熟悉考试格式，获得反馈，跟踪进步，从而增加通过微软认证考试的机会。整体而言，PL-300实践测试是数据分析师在职业生涯中取得成功的高效工具。
Microsoft Power BI has become one of the most popular data visualization and business intelligence tools in recent years. As a data analyst, it is important to have a thorough understanding of this tool in order to effectively analyze and visualize data. One way to test and improve your skills with Power BI is through practice tests, such as the PL-300: Microsoft Power BI Data Analyst Practice Tests. These practice tests are designed to help data analysts prepare for the Microsoft Certification exam, which demonstrates their proficiency with Power BI.One of the key benefits of using the PL-300 practice tests is that they allow data analysts to assess their knowledge and skills with Power BI in a structured and comprehensive manner. The practice tests cover a wide range of topics related to Power BI, including data modeling, visualization, and DAX calculations. By taking these practice tests, data analysts can identify areas where they may need to improve and focus their studying efforts accordingly.In addition to helping data analysts identify their strengths and weaknesses with Power BI, the PL-300 practice tests also help them become more familiar with the format and types of questions that may appear on the Microsoft Certification exam. This can help data analysts feel more confident and prepared when they sit for the exam, increasing their chances of passing on their first attempt.Another benefit of the PL-300 practice tests is that they provide data analysts with valuable feedback on their performance. After completing each test, data analysts can review their answers and see which questions they answered correctly and which ones they missed. This feedback can help data analysts learn from their mistakes and improve their understanding of Power BI concepts.By consistently taking the PL-300 practice tests, data analysts can track their progress and see how their skills with Power BI are improving over time. This can be incredibly motivating and can help data analysts stay focused and committed to their study goals. Furthermore, seeing improvement in their scores can boost their confidence and help them feel more prepared for the Microsoft 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) Certification Exams skill questions:Prepare the data (25-30%)Model the data (25-30%)Visualize and analyze the data (25-30%)Manage and secure Power BI (15-20%)Prepare the data (25-30%)Get or connect to dataIdentify and connect to data sources or a shared semantic modelChange data source settings, including credentials and privacy levelsChoose between DirectQuery and ImportCreate and modify parametersProfile and clean 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 columnsGroup and aggregate rowsPivot, unpivot, and transpose dataConvert semi-structured data to a tableCreate fact tables and dimension tablesIdentify when to use reference or duplicate queries and the resulting impactMerge and append queriesIdentify and create appropriate keys for relationshipsConfigure data loading for queriesModel 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 tableIdentify use cases for calculated columns and calculated tablesCreate model calculations by using DAXCreate single aggregation measuresUse the CALCULATE functionImplement time intelligence measuresUse basic statistical functionsCreate semi-additive measuresCreate a measure by using quick measuresCreate calculated tables or columnsCreate calculation groupsOptimize model performanceImprove performance by identifying and removing unnecessary rows and columnsIdentify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query viewImprove performance by reducing granularityVisualize and analyze the data (25-30%)Create reportsSelect an appropriate visualFormat and configure visualsApply and customize a themeApply conditional formattingApply slicing and filteringConfigure the report pageChoose when to use a paginated reportCreate visual calculations by using DAXEnhance reports for usability and storytellingConfigure bookmarksCreate custom tooltipsEdit and configure interactions between visualsConfigure navigation for a reportApply sorting to visualsConfigure sync slicersGroup and layer visuals by using the Selection paneConfigure drill through navigationConfigure export settingsDesign reports for mobile devicesEnable personalized visuals in a reportDesign and configure Power BI reports for accessibilityConfigure automatic page refreshIdentify patterns and trendsUse the Analyze feature in Power BIUse grouping, binning, and clusteringUse AI visualsUse reference lines, error bars, and forecastingDetect outliers and anomaliesManage and secure Power BI (15-20%)Create and manage workspaces and assetsCreate and configure a workspaceConfigure and update a workspace appPublish, import, or update items in a workspaceCreate dashboardsChoose a distribution methodConfigure subscriptions and data alertsPromote or certify Power BI contentIdentify when a gateway is requiredConfigure a semantic model scheduled refreshSecure and govern Power BI itemsAssign workspace rolesConfigure item-level accessConfigure access to semantic modelsImplement row-level security rolesConfigure row-level security group membershipApply sensitivity labelsIn conclusion, PL-300: Microsoft Power BI Data Analyst Practice Tests are an invaluable resource for data analysts looking to improve their skills with Power BI and prepare for the Microsoft Certification exam. These practice tests cover a wide range of topics related to Power BI and provide data analysts with a structured and comprehensive way to assess their knowledge and skills. By taking the practice tests, data analysts can identify areas where they need to improve, become more familiar with the exam format, receive valuable feedback on their performance, track their progress, and ultimately increase their chances of passing the Microsoft Certification exam. Overall, the PL-300 practice tests are a highly effective tool for data analysts looking to excel in their careers.
