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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-certifications-exam/
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课程名称:PL-300:Microsoft Power BI 数据分析师模拟考试 2025 课程概述:PL-300 Microsoft Power BI 数据分析师模拟考试旨在帮助您在首次尝试中顺利通过认证。该课程提供243道独特的考试题目,专门为准备参加PL-300 Microsoft Power BI 数据分析师考试的考生设计。课程通过模拟真实考试问题,帮助您了解考试内容和题型。 在当今竞争激烈的职场环境中,拥有专业认证可以显著增强您的简历,帮助您开拓新的职业机会。虽然拥有大学学位很重要,但认证考试为那些希望在未来获得优秀职位的人们提供了另一个有力的选择。Microsoft认证不仅能证明您的能力,更是您成功的敲门砖。 本在线模拟测试包含60多个考试风格的问题,涵盖四大主要主题:数据准备、数据建模、数据可视化与分析、以及资产的部署与维护。这些主题涵盖了数据分析过程中所需的所有基本概念、最佳实践以及各类技巧,旨在帮助您精通使用Microsoft Power BI进行数据分析。 在模拟测试中,您将学习如何有效地准备、建模、可视化和分析数据。这包括如何连接和管理数据源,创建有效的仪表板和报告,从而提取有意义的见解。此外,课程还将讨论如何部署和维护创建的资产,以及在数据分析过程中遇到的常见问题和挑战。 具体考试信息如下: - 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 - 题型:单选、多选、拖放和基于表现的题目 - 考试时间:180分钟 - 通过分数:700 / 1000 - 考试语言:英语、德语和日语 模拟考试的关键技能领域包括: 1. 准备数据(25-30%) 2. 建模数据(25-30%) 3. 可视化与分析数据(25-30%) 4. 部署与维护资产(15-20%) 通过PL-300 Microsoft Power BI 数据分析师模拟考试的学习,您将能够获得实用的技能和知识,为您的职业发展打下坚实的基础。认证考试需要付出巨大的努力和专注,课程将为您提供有效的学习资源,帮助您引导自己的学习过程。
PL-300 Microsoft Power BI Data Analyst Practice Exam - Carefully selected PL-300 Microsoft Power BI Data Analyst Exam Questions to help you pass on your first attempt. 243 Unique Questions.If you are planning to take PL-300 Microsoft Power BI Data Analyst Exam and want to see what kind of questions are coming in the PL-300 Microsoft Power BI Data Analyst - Real Exam, these practice questions are the best for you.Today is a competitive world and the smartest, best, and most qualified get paid a lot of money to work in amazing fields. But you don't need a college degree, certification is an amazing path that opens up new opportunities and shows employers that you are the cream of the crop. We know that Microsoft certification will add some flair to that resume and help you get amazing new roles. Certification from Microsoft shows that you have the ability to be successful but it's still not a simple process. You need to study, make your qualifications, and actually learn the skills to be successful at work if you want any chance of being successful.This online practice test offers over 60 exam-style questions, covering four main subtopics: Prepare the data, Model the data, Visualize and Analyze the data, and deploy and maintain assets. These subtopics are carefully crafted to cover all the necessary concepts, best practices, and tips and tricks you need to master the data analysis journey using Microsoft Power BI.In this practice test, you'll learn how to properly prepare, model, visualize, and analyze data using Microsoft Power BI. You'll also understand how to connect, manage, and work with data sources effectively. You'll discover tips and tricks for creating effective dashboards, reports, and visualizations that help you create meaningful insights.Other areas you'll cover in this practice test include how to deploy and maintain your created assets for maximum impact and user engagement. You'll also learn how to tackle common problems and challenges that arise during the data analysis journey. Finally, you'll explore the importance of ethics and security in data analysis and how you can maintain integrity throughout your work.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 datasetsPracticing for an exam like the PL-300 Microsoft Power BI Data Analyst can be a full-time job. In fact some exams are actually paid for by work because they are so intensive. Certification is not simple and takes immense work. It takes time, practice, and the right focus. We understand that because we have been in this industry for years and working in space full of less savory test prep sources.